Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'national_CMS:WH_0016', 'commodity_category': 'IV_fluids', 'year': 2024, 'month': 11}) -> {'status': 'ok', 'uid': 'national_CMS:WH_0016', 'warehouse_id': 'WH_0016', 'warehouse_level': 'national_CMS', 'year': 2024, 'month': 11, 'reported_issue': 'stock_record_discrepancy', 'has_issue': True, 'signals': ['low inventory accuracy (63.6%)', 'high wastage (13.6%)']}

Q: why is WH_0016 at the national_CMS failing fulfillment for IV fluids?
A:

Chosen response:
FACTS: WH_0016 (national_CMS, 11/2024): reported issue = stock_record_discrepancy. other signals: low inventory accuracy (63.6%); high wastage (13.6%)
RECOMMENDATION: address the reported issue (stock_record_discrepancy).

Rejected response:
FACTS: WH_0016 (national_CMS, 11/2024): reported issue = warehouse_mismanagement. other signals: low inventory accuracy (63.6%); high wastage (13.6%)
RECOMMENDATION: address the reported issue (stock_record_discrepancy).

low inventory accuracy (63.6%)
high wastage (13.6%)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'district_store:WH_0078', 'commodity_category': 'contraceptives', 'year': 2024, 'month': 8}) -> {'status': 'ok', 'uid': 'district_store:WH_0078', 'warehouse_id': 'WH_0078', 'warehouse_level': 'district_store', 'year': 2024, 'month': 8, 'reported_issue': 'damaged_goods', 'has_issue': True, 'signals': ['FEFO compliance failed', 'low inventory accuracy (11.1%)', 'high wastage (33.8%)', 'active stockout']}

Q: why is WH_0078 at the district_store failing fulfillment for contraceptives?
A:

Chosen response:
FACTS: WH_0078 (district_store, 8/2024): reported issue = damaged_goods. other signals: FEFO compliance failed; low inventory accuracy (11.1%); high wastage (33.8%); active stockout
RECOMMENDATION: address the reported issue (damaged_goods).

Rejected response:
FACTS: WH_0078 (district_store, 8/2024): reported issue = warehouse_mismanagement. other signals: FEFO compliance failed; low inventory accuracy (11.1%); high wastage (33.8%); active stockout
RECOMMENDATION: address the reported issue (damaged_goods).

FEFO compliance failed
low inventory accuracy (11.1%)
high wastage (33.8%)
active stockout


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'district_store:WH_0063'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 36.8, 'avg_order_fulfilment_rate_pct': 26.7, 'months_with_stockout': 0, 'issue_counts': {'damaged_goods': 1}, 'uid': 'district_store:WH_0063', 'warehouse_id': 'WH_0063', 'warehouse_level': 'district_store'}

Q: how is WH_0063 at the district_store doing overall?
A:

Chosen response:
FACTS: WH_0063 (district_store): avg inventory accuracy 36.8%, avg fulfilment 26.7%, 0 months w/ stockout (based on 1 records), issues on record: {'damaged_goods': 1}
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0063 (district_store): avg inventory accuracy 36.8%, avg fulfilment 26.7%, 0 months w/ stockout (based on 1 records), issues on record: {'damaged_goods': 1} Not sure about the rest of the details.
RECOMMENDATION: looks fine.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'district_store:WH_0046', 'commodity_category': 'laboratory_reagents', 'year': 2022, 'month': 11}) -> {'status': 'ok', 'uid': 'district_store:WH_0046', 'warehouse_id': 'WH_0046', 'warehouse_level': 'district_store', 'year': 2022, 'month': 11, 'reported_issue': 'stock_record_discrepancy', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (13.7%)', 'high wastage (22.6%)'], 'uncertain': True}

Q: why is WH_0046 at the district_store failing fulfillment for laboratory reagents?
A:

Chosen response:
FACTS: WH_0046 (district_store, 11/2022): reported issue = stock_record_discrepancy. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (13.7%); high wastage (22.6%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (stock_record_discrepancy).

Rejected response: FACTS: address the reported issue (stock_record_discrepancy).

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (13.7%)
high wastage (22.6%)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({'uid': 'national_CMS:WH_0016'}) -> [{'uid': 'national_CMS:WH_0016', 'warehouse_id': 'WH_0016', 'warehouse_level': 'national_CMS', 'commodity_category': 'IV_fluids', 'orders_backordered': 17, 'backorder_rate_pct': 32.7}]

Q: which category has the most backorders at WH_0016 at the national_CMS?
A:

Chosen response:
FACTS: 1 backordered records (uid=national_CMS:WH_0016). worst: WH_0016 (national_CMS, IV_fluids) at 32.7% backorder rate
RECOMMENDATION: expedite WH_0016 (national_CMS).

Rejected response: FACTS: expedite WH_0016 (national_CMS).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'national_CMS:WH_0003'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 76.8, 'avg_order_fulfilment_rate_pct': 64.4, 'months_with_stockout': 1, 'issue_counts': {'pest_infestation': 1}, 'uid': 'national_CMS:WH_0003', 'warehouse_id': 'WH_0003', 'warehouse_level': 'national_CMS'}

Q: how is WH_0003 at the national_CMS doing overall?
A:

Chosen response:
FACTS: WH_0003 (national_CMS): avg inventory accuracy 76.8%, avg fulfilment 64.4%, 1 months w/ stockout (based on 1 records), issues on record: {'pest_infestation': 1}
RECOMMENDATION: worth a review.

Rejected response:
FACTS: WH_0003 (national_CMS): avg inventory accuracy 76.8%, avg fulfilment 64.4%, 1 months w/ stockout (based on 1 records), issues on record: {'pest_infestation': 1}
RECOMMENDATION: Not sure. (Not enough information)
FACTS: WH_0003 (national_CMS): avg inventory accuracy 76.8%, avg fulfilment 64.4%, 1 months w/ stockout (based on 1 records), issues on record: {'pest_infestation': 1}
RECOMMENDATION: Not sure. (Not enough information)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'uid': 'national_CMS:WH_0018'}) -> []

Q: does WH_0018 at the national_CMS currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=national_CMS:WH_0018)
RECOMMENDATION: nothing urgent here.

Rejected response: FACTS: nothing urgent here.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'district_store:WH_0042'}) -> [{'uid': 'district_store:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'district_store', 'commodity_category': 'medical_devices_consumables', 'risk_score': 8, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage']}]

Q: is WH_0042 at the district_store at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=district_store:WH_0042) is WH_0042 (district_store, controlled_substances), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0042 (district_store).

Rejected response:
FACTS: top shortage risk (uid=district_store:WH_0042) is WH_0042 (district_store, controlled_substances), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: Not sure about that - would need to check the system for more detail.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'national_CMS:WH_0088'}) -> [{'uid': 'national_CMS:WH_0088', 'warehouse_id': 'WH_0088', 'warehouse_level': 'national_CMS', 'commodity_category': 'malaria_commodities', 'risk_score': 5.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'criticality_high']}]

Q: is WH_0088 at the national_CMS at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=national_CMS:WH_0088) is WH_0088 (national_CMS, malaria_commodities), score=5.5, factors=['high_backorder_rate', 'low_fulfilment', 'criticality_high']
RECOMMENDATION: focus replenishment planning on WH_0088 (national_CMS).

Rejected response: FACTS: focus replenishment planning on WH_0088 (national_CMS).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'national_CMS:WH_0069'}) -> [{'uid': 'national_CMS:WH_0069', 'warehouse_id': 'WH_0069', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'risk_score': 5.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_medium']}]

Q: is WH_0069 at the national_CMS at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=national_CMS:WH_0069) is WH_0069 (national_CMS, laboratory_reagents), score=5.5, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0069 (national_CMS).

Rejected response:
FACTS: top shortage risk (uid=national_CMS:WH_0069) is WH_0069 (national_CMS, laboratory_reagents), score=31.4, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0069 (national_CMS).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'national_CMS:WH_0018'}) -> [{'uid': 'national_CMS:WH_0018', 'warehouse_id': 'WH_0018', 'warehouse_level': 'national_CMS', 'commodity_category': 'vaccines', 'risk_score': 7.0, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_critical']}]

Q: is WH_0018 at the national_CMS at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=national_CMS:WH_0018) is WH_0018 (national_CMS, vaccines), score=7.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0018 (national_CMS).

Rejected response:
FACTS: top shortage risk (uid=national_CMS:WH_0018) is WH_0018 (national_CMS, vaccines), score=7.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_critical']
RECOMMENDATION: Not sure. To get more information, I would need to check further.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'uid': 'regional_warehouse:WH_0050'}) -> [{'uid': 'regional_warehouse:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'facilities_affected_by_stockout': 8}, {'uid': 'regional_warehouse:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'facilities_affected_by_stockout': 7}]

Q: does WH_0050 at the regional_warehouse currently have any active stockouts?
A:

Chosen response:
FACTS: 2 active stockouts (uid=regional_warehouse:WH_0050). worst: WH_0050 (regional_warehouse, medical_devices_consumables), 8 facilities hit
RECOMMENDATION: prioritize WH_0050 (regional_warehouse) first.

Rejected response:
FACTS: 2 active stockouts (uid=regional_warehouse:WH_0050). worst: WH_0050 (regional_warehouse, medical_devices_consumables), 8 facilities hit
RECOMMENDATION: Not sure about that - would need to check the system for more detail.
FACTS: 2 active stockouts (uid=regional_warehouse:WH_0050). worst: WH_0050 (regional_warehouse, medical_devices_consumables), 8 facilities hit
RECOMMENDATION: Not sure about that - would need to check the system for more detail.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'region_type': 'rural'}) -> [{'uid': 'district_store:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0006', 'warehouse_id': 'WH_0006', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0014', 'warehouse_id': 'WH_0014', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}]

Q: what needs urgent replenishment in rural areas?
A:

Chosen response:
FACTS: top shortage risk (region_type=rural) is WH_0028 (district_store, vaccines), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0028 (district_store).

Rejected response:
FACTS: top shortage risk (region_type=rural) is WH_0028 (district_store, vaccines), score=37.8, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0028 (district_store).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'regional_warehouse:WH_0090'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 61.7, 'avg_order_fulfilment_rate_pct': 34.5, 'months_with_stockout': 0, 'issue_counts': {'damaged_goods': 1}, 'uid': 'regional_warehouse:WH_0090', 'warehouse_id': 'WH_0090', 'warehouse_level': 'regional_warehouse'}

Q: how is WH_0090 at the regional_warehouse doing overall?
A:

Chosen response:
FACTS: WH_0090 (regional_warehouse): avg inventory accuracy 61.7%, avg fulfilment 34.5%, 0 months w/ stockout (based on 1 records), issues on record: {'damaged_goods': 1}
RECOMMENDATION: looks fine.

Rejected response: FACTS: looks fine.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'regional_warehouse:WH_0011'}) -> [{'uid': 'regional_warehouse:WH_0011', 'warehouse_id': 'WH_0011', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'nutrition_commodities', 'risk_score': 7.0, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']}]

Q: is WH_0011 at the regional_warehouse at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0011) is WH_0011 (regional_warehouse, nutrition_commodities), score=7.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0011 (regional_warehouse).

Rejected response: FACTS: focus replenishment planning on WH_0011 (regional_warehouse).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'regional_warehouse:WH_0029', 'commodity_category': 'essential_medicines', 'year': 2023, 'month': 3}) -> {'status': 'ok', 'uid': 'regional_warehouse:WH_0029', 'warehouse_id': 'WH_0029', 'warehouse_level': 'regional_warehouse', 'year': 2023, 'month': 3, 'reported_issue': 'pest_infestation', 'has_issue': True, 'signals': ['FEFO compliance failed', 'low inventory accuracy (36.5%)', 'high wastage (18.9%)']}

Q: why is WH_0029 at the regional_warehouse failing fulfillment for essential medicines?
A:

Chosen response:
FACTS: WH_0029 (regional_warehouse, 3/2023): reported issue = pest_infestation. other signals: FEFO compliance failed; low inventory accuracy (36.5%); high wastage (18.9%)
RECOMMENDATION: address the reported issue (pest_infestation).

Rejected response:
FACTS: WH_0029 (regional_warehouse, 3/2023): reported issue = pest_infestation. other signals: FEFO compliance failed; low inventory accuracy (36.5%); high wastage (18.9%)
RECOMMENDATION: Not sure. To get more information, I would need to check further.
FACTS: WH_0029 (regional_warehouse, 3/2023): reported issue = pest_infestation. other signals: FEFO compliance failed; low inventory accuracy (36.5%); high wastage (18.9%)
RECOMMENDATION: Not sure. To get more information, I would need to check further.

FEFO compliance failed
low inventory accuracy (36.5%)
high wastage (18.9%)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'compare_by': 'warehouse_level', 'compare_values': ['district_store', 'regional_warehouse']}) -> {'_grouped_by': 'warehouse_level', 'groups': {'district_store': [{'uid': 'district_store:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0070', 'warehouse_id': 'WH_0070', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0006', 'warehouse_id': 'WH_0006', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}], 'regional_warehouse': [{'uid': 'regional_warehouse:WH_0007', 'warehouse_id': 'WH_0007', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'regional_warehouse:WH_0025', 'warehouse_id': 'WH_0025', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'regional_warehouse:WH_0012', 'warehouse_id': 'WH_0012', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}]}}

Q: how do district_store and regional_warehouse compare on shortage risk?
A:

Chosen response:
FACTS: shortage risk by warehouse_level: district_store: top risk WH_0028 (vaccines), score=11.5; regional_warehouse: top risk WH_0007 (controlled_substances), score=11.5
RECOMMENDATION: focus replenishment planning on the district_store group first - highest risk score.

Rejected response: FACTS: focus replenishment planning on the district_store group first - highest risk score.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'national_CMS:WH_0041'}) -> [{'uid': 'national_CMS:WH_0041', 'warehouse_id': 'WH_0041', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'risk_score': 4.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'criticality_medium']}]

Q: is WH_0041 at the national_CMS at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=national_CMS:WH_0041) is WH_0041 (national_CMS, laboratory_reagents), score=4.5, factors=['high_backorder_rate', 'low_fulfilment', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0041 (national_CMS).

Rejected response: not sure, you'd have to check the system yourself


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'district_store:WH_0017', 'commodity_category': 'nutrition_commodities', 'year': 2022, 'month': 1}) -> {'status': 'ok', 'uid': 'district_store:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'district_store', 'year': 2022, 'month': 1, 'reported_issue': 'expired_stock', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (37.2%)', 'high wastage (31.4%)'], 'uncertain': True}

Q: why is WH_0017 at the district_store failing fulfillment for nutrition commodities?
A:

Chosen response:
FACTS: WH_0017 (district_store, 1/2022): reported issue = expired_stock. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (37.2%); high wastage (31.4%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (expired_stock).

Rejected response:
FACTS: WH_0262 (district_store, 1/2022): reported issue = expired_stock. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (37.2%); high wastage (31.4%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (expired_stock).
FACTS: to repeat, the figure is 1. Again, 1 is the number.

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (37.2%)
high wastage (31.4%)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'region_type': 'peri_urban'}) -> {'n_records': 68, 'avg_inventory_accuracy_pct': 53.2, 'avg_order_fulfilment_rate_pct': 55.1, 'months_with_stockout': 20, 'issue_counts': {'theft_pilferage': 7, 'expired_stock': 8, 'FEFO_not_followed': 7, 'overstocking': 6, 'dispatch_error': 5, 'pest_infestation': 7, 'damaged_goods': 5, 'understocking': 5, 'receiving_error': 7, 'temperature_excursion': 4, 'stock_record_discrepancy': 3}}

Q: what are the kpis for peri_urban areas?
A:

Chosen response:
FACTS: avg inventory accuracy 53.2%, avg fulfilment 55.1%, 20 months w/ stockout (region_type=peri_urban) (based on 68 records), issues on record: {'theft_pilferage': 7, 'expired_stock': 8, 'FEFO_not_followed': 7, 'overstocking': 6, 'dispatch_error': 5, 'pest_infestation': 7, 'damaged_goods': 5, 'understocking': 5, 'receiving_error': 7, 'temperature_excursion': 4, 'stock_record_discrepancy': 3}
RECOMMENDATION: worth a review.

Rejected response:
FACTS: avg inventory accuracy 69.6%, avg fulfilment 55.1%, 20 months w/ stockout (region_type=peri_urban) (based on 68 records), issues on record: {'theft_pilferage': 7, 'expired_stock': 8, 'FEFO_not_followed': 7, 'overstocking': 6, 'dispatch_error': 5, 'pest_infestation': 7, 'damaged_goods': 5, 'understocking': 5, 'receiving_error': 7, 'temperature_excursion': 4, 'stock_record_discrepancy': 3}
RECOMMENDATION: worth a review.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({'uid': 'national_CMS:WH_0005'}) -> []

Q: which category has the most backorders at WH_0005 at the national_CMS?
A:

Chosen response:
FACTS: nothing backordered right now (uid=national_CMS:WH_0005)
RECOMMENDATION: no action needed.

Rejected response:
FACTS: nothing backordered right now (uid=national_CMS:WH_0005)
RECOMMENDATION: Not sure. (Not enough information to determine)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'district_store:WH_0010', 'commodity_category': 'malaria_commodities', 'year': 2023, 'month': 6}) -> {'status': 'ok', 'uid': 'district_store:WH_0010', 'warehouse_id': 'WH_0010', 'warehouse_level': 'district_store', 'year': 2023, 'month': 6, 'reported_issue': 'receiving_error', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (45.6%)', 'high wastage (22.9%)', 'active stockout'], 'uncertain': True}

Q: why is WH_0010 at the district_store failing fulfillment for malaria commodities?
A:

Chosen response:
FACTS: WH_0010 (district_store, 6/2023): reported issue = receiving_error. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (45.6%); high wastage (22.9%); active stockout (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (receiving_error).

Rejected response: not sure, you'd have to check the system yourself

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (45.6%)
high wastage (22.9%)
active stockout


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({'uid': 'national_CMS:WH_0079'}) -> [{'uid': 'national_CMS:WH_0079', 'warehouse_id': 'WH_0079', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 16, 'backorder_rate_pct': 28.6}]

Q: which category has the most backorders at WH_0079 at the national_CMS?
A:

Chosen response:
FACTS: 1 backordered records (uid=national_CMS:WH_0079). worst: WH_0079 (national_CMS, laboratory_reagents) at 28.6% backorder rate
RECOMMENDATION: expedite WH_0079 (national_CMS).

Rejected response:
FACTS: 1 backordered records (uid=national_CMS:WH_0079). worst: WH_0079 (national_CMS, laboratory_reagents) at 28.6% backorder rate
RECOMMENDATION: Not sure about that - would need to check the system for more detail.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'compare_by': 'region_type', 'compare_values': ['peri_urban', 'rural']}) -> {'_grouped_by': 'region_type', 'groups': {'rural': {'dominant_issue': 'FEFO_not_followed', 'count': 10, 'n_records': 87, 'issue_counts': {'theft_pilferage': 5, 'expired_stock': 5, 'stock_record_discrepancy': 9, 'temperature_excursion': 8, 'FEFO_not_followed': 10, 'damaged_goods': 8, 'overstocking': 9, 'receiving_error': 9, 'understocking': 9, 'dispatch_error': 6, 'pest_infestation': 6}}, 'peri_urban': {'dominant_issue': 'expired_stock', 'count': 8, 'n_records': 68, 'issue_counts': {'theft_pilferage': 7, 'expired_stock': 8, 'FEFO_not_followed': 7, 'overstocking': 6, 'dispatch_error': 5, 'pest_infestation': 7, 'damaged_goods': 5, 'understocking': 5, 'receiving_error': 7, 'temperature_excursion': 4, 'stock_record_discrepancy': 3}}}}

Q: how do peri_urban and rural compare on why they're failing?
A:

Chosen response:
FACTS: most common issue by region_type: peri_urban: expired_stock (8x); rural: FEFO_not_followed (10x)
RECOMMENDATION: focus on the rural group's most common issue first.

Rejected response:
FACTS: most common issue by region_type: system_error: expired_stock (8x); rural: FEFO_not_followed (10x)
RECOMMENDATION: focus on the rural group's most common issue first.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'region_type': 'peri_urban'}) -> [{'uid': 'national_CMS:WH_0046', 'warehouse_id': 'WH_0046', 'warehouse_level': 'national_CMS', 'commodity_category': 'malaria_commodities', 'facilities_affected_by_stockout': 108}, {'uid': 'national_CMS:WH_0060', 'warehouse_id': 'WH_0060', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'facilities_affected_by_stockout': 36}, {'uid': 'regional_warehouse:WH_0051', 'warehouse_id': 'WH_0051', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'facilities_affected_by_stockout': 13}, {'uid': 'regional_warehouse:WH_0089', 'warehouse_id': 'WH_0089', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'facilities_affected_by_stockout': 12}, {'uid': 'regional_warehouse:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'facilities_affected_by_stockout': 12}, '... and 15 more']

Q: which items are stocked out in peri_urban areas?
A:

Chosen response:
FACTS: 20 active stockouts (region_type=peri_urban). worst: WH_0046 (national_CMS, malaria_commodities), 108 facilities hit
RECOMMENDATION: prioritize WH_0046 (national_CMS) first.

Rejected response:
FACTS: 48.0 active stockouts (region_type=peri_urban). worst: WH_0046 (national_CMS, malaria_commodities), 108 facilities hit
RECOMMENDATION: prioritize WH_0046 (national_CMS) first.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'warehouse_level': 'regional_warehouse'}) -> {'dominant_issue': 'stock_record_discrepancy', 'count': 6, 'n_records': 72, 'issue_counts': {'stock_record_discrepancy': 6, 'pest_infestation': 6, 'theft_pilferage': 6, 'understocking': 6, 'expired_stock': 6, 'overstocking': 6, 'receiving_error': 6, 'FEFO_not_followed': 6, 'temperature_excursion': 6, 'damaged_goods': 6, 'dispatch_error': 6}}

Q: why are warehouses in the regional_warehouse tier failing?
A:

Chosen response:
FACTS: most common issue (warehouse_level=regional_warehouse): stock_record_discrepancy (6 of 72 records)
RECOMMENDATION: investigate stock_record_discrepancy as the top recurring issue.

Rejected response:
FACTS: most common issue (warehouse_level=regional_warehouse): stock_record_discrepancy (6 of 72 records)
RECOMMENDATION: Not sure. (Not enough information to determine)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'national_CMS:WH_0021'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 76.7, 'avg_order_fulfilment_rate_pct': 81.9, 'months_with_stockout': 0, 'issue_counts': {'overstocking': 1}, 'uid': 'national_CMS:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'national_CMS'}

Q: how is WH_0021 at the national_CMS doing overall?
A:

Chosen response:
FACTS: WH_0021 (national_CMS): avg inventory accuracy 76.7%, avg fulfilment 81.9%, 0 months w/ stockout (based on 1 records), issues on record: {'overstocking': 1}
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0364 (national_CMS): avg inventory accuracy 76.7%, avg fulfilment 81.9%, 0 months w/ stockout (based on 1 records), issues on record: {'overstocking': 1}
RECOMMENDATION: looks fine.
FACTS: WH_0364 (national_CMS): avg inventory accuracy 76.7%, avg fulfilment 81.9%, 0 months w/ stockout (based on 1 records), issues on record: {'overstocking': 1}
RECOMMENDATION: looks fine.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({}) -> [{'uid': 'district_store:WH_0067', 'warehouse_id': 'WH_0067', 'warehouse_level': 'district_store', 'commodity_category': 'surgical_supplies', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0075', 'warehouse_id': 'WH_0075', 'warehouse_level': 'district_store', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 3, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0033', 'warehouse_id': 'WH_0033', 'warehouse_level': 'district_store', 'commodity_category': 'ARVs', 'orders_backordered': 3, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0012', 'warehouse_id': 'WH_0012', 'warehouse_level': 'district_store', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, '... and 200 more']

Q: which items are backordered?
A:

Chosen response:
FACTS: 205 backordered records. worst: WH_0067 (district_store, surgical_supplies) at 100.0% backorder rate
RECOMMENDATION: expedite WH_0067 (district_store).

Rejected response:
FACTS: 205 backordered records. worst: WH_0067 (district_store, surgical_supplies) at 100.0% backorder rate
RECOMMENDATION: Not sure. To get more information, I would need to check further.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'regional_warehouse:WH_0043'}) -> [{'uid': 'regional_warehouse:WH_0043', 'warehouse_id': 'WH_0043', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'risk_score': 1.5, 'risk_factors': ['high_wastage', 'criticality_medium']}]

Q: is WH_0043 at the regional_warehouse at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0043) is WH_0043 (regional_warehouse, PPE_IPC_supplies), score=1.5, factors=['high_wastage', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0043 (regional_warehouse).

Rejected response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0043) is WH_0043 (regional_warehouse, PPE_IPC_supplies), score=1.5, factors=['high_wastage', 'criticality_medium'] Not entirely sure if this is complete.
RECOMMENDATION: focus replenishment planning on WH_0043 (regional_warehouse).
FACTS: to repeat, the figure is 1.5. Again, 1.5 is the number.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'regional_warehouse:WH_0041'}) -> [{'uid': 'regional_warehouse:WH_0041', 'warehouse_id': 'WH_0041', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'risk_score': 6.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']}]

Q: is WH_0041 at the regional_warehouse at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0041) is WH_0041 (regional_warehouse, medical_devices_consumables), score=6.5, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']
RECOMMENDATION: focus replenishment planning on WH_0041 (regional_warehouse).

Rejected response: not sure, you'd have to check the system yourself


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'national_CMS:WH_0088', 'commodity_category': 'malaria_commodities', 'year': 2024, 'month': 5}) -> {'status': 'ok', 'uid': 'national_CMS:WH_0088', 'warehouse_id': 'WH_0088', 'warehouse_level': 'national_CMS', 'year': 2024, 'month': 5, 'reported_issue': 'overstocking', 'has_issue': True, 'signals': ['low inventory accuracy (62.6%)']}

Q: why is WH_0088 at the national_CMS failing fulfillment for malaria commodities?
A:

Chosen response:
FACTS: WH_0088 (national_CMS, 5/2024): reported issue = overstocking. other signals: low inventory accuracy (62.6%)
RECOMMENDATION: address the reported issue (overstocking).

Rejected response:
FACTS: WH_0088 (national_CMS, 5/2024): reported issue = overstocking. other signals: low inventory accuracy (62.6%)
RECOMMENDATION: Not sure. To get more information, I would need to check further.
FACTS: to repeat, the figure is 5. Again, 5 is the number.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'national_CMS:WH_0079'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 88.0, 'avg_order_fulfilment_rate_pct': 71.6, 'months_with_stockout': 0, 'issue_counts': {}, 'uid': 'national_CMS:WH_0079', 'warehouse_id': 'WH_0079', 'warehouse_level': 'national_CMS'}

Q: how is WH_0079 at the national_CMS doing overall?
A:

Chosen response:
FACTS: WH_0079 (national_CMS): avg inventory accuracy 88.0%, avg fulfilment 71.6%, 0 months w/ stockout (based on 1 records)
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0079 (national_CMS): avg inventory accuracy 88.0%, avg fulfilment 71.6%, 0 months w/ stockout (based on 1 records)
RECOMMENDATION: Not sure. To get more information, I would need to check further.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'national_CMS:WH_0009', 'commodity_category': 'essential_medicines', 'year': 2024, 'month': 10}) -> {'status': 'ok', 'uid': 'national_CMS:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'national_CMS', 'year': 2024, 'month': 10, 'reported_issue': 'none', 'has_issue': False, 'signals': ['storage conditions not adequate', 'low inventory accuracy (81.8%)', 'high wastage (10.3%)']}

Q: why is WH_0009 at the national_CMS failing fulfillment for essential medicines?
A:

Chosen response:
FACTS: WH_0009 (national_CMS, 10/2024): reported issue = none. other signals: storage conditions not adequate; low inventory accuracy (81.8%); high wastage (10.3%)
RECOMMENDATION: no action needed.

Rejected response: FACTS: no action needed.

storage conditions not adequate
low inventory accuracy (81.8%)
high wastage (10.3%)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'national_CMS:WH_0034', 'commodity_category': 'surgical_supplies', 'year': 2022, 'month': 3}) -> {'status': 'ok', 'uid': 'national_CMS:WH_0034', 'warehouse_id': 'WH_0034', 'warehouse_level': 'national_CMS', 'year': 2022, 'month': 3, 'reported_issue': 'receiving_error', 'has_issue': True, 'signals': ['low inventory accuracy (79.7%)']}

Q: why is WH_0034 at the national_CMS failing fulfillment for surgical supplies?
A:

Chosen response:
FACTS: WH_0034 (national_CMS, 3/2022): reported issue = receiving_error. other signals: low inventory accuracy (79.7%)
RECOMMENDATION: address the reported issue (receiving_error).

Rejected response:
FACTS: WH_0034 (national_CMS, 3/2022): reported issue = receiving_error. other signals: low inventory accuracy (79.7%)
RECOMMENDATION: Not sure about that - would need to check the system for more detail.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'region_type': 'urban'}) -> {'n_records': 55, 'avg_inventory_accuracy_pct': 68.8, 'avg_order_fulfilment_rate_pct': 68.5, 'months_with_stockout': 12, 'issue_counts': {'stock_record_discrepancy': 6, 'pest_infestation': 5, 'theft_pilferage': 6, 'damaged_goods': 5, 'overstocking': 3, 'understocking': 4, 'expired_stock': 5, 'FEFO_not_followed': 1, 'receiving_error': 2, 'dispatch_error': 7, 'temperature_excursion': 6}}

Q: what are the kpis for urban areas?
A:

Chosen response:
FACTS: avg inventory accuracy 68.8%, avg fulfilment 68.5%, 12 months w/ stockout (region_type=urban) (based on 55 records), issues on record: {'stock_record_discrepancy': 6, 'pest_infestation': 5, 'theft_pilferage': 6, 'damaged_goods': 5, 'overstocking': 3, 'understocking': 4, 'expired_stock': 5, 'FEFO_not_followed': 1, 'receiving_error': 2, 'dispatch_error': 7, 'temperature_excursion': 6}
RECOMMENDATION: worth a review.

Rejected response:
FACTS: avg inventory accuracy 68.8%, avg fulfilment 68.5%, 12 months w/ stockout (region_type=urban) (based on 55 records), issues on record: {'stock_record_discrepancy': 6, 'pest_infestation': 5, 'theft_pilferage': 6, 'damaged_goods': 5, 'overstocking': 3, 'understocking': 4, 'expired_stock': 5, 'FEFO_not_followed': 1, 'receiving_error': 2, 'dispatch_error': 7, 'temperature_excursion': 6} Not sure if there's more to report here.
RECOMMENDATION: worth a review.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'warehouse_level': 'district_store'}) -> [{'uid': 'district_store:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0070', 'warehouse_id': 'WH_0070', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0006', 'warehouse_id': 'WH_0006', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0087', 'warehouse_id': 'WH_0087', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}]

Q: what needs urgent replenishment in the district_store tier?
A:

Chosen response:
FACTS: top shortage risk (warehouse_level=district_store) is WH_0028 (district_store, vaccines), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0028 (district_store).

Rejected response:
FACTS: top shortage risk (warehouse_level=district_store) is WH_0028 (district_store, vaccines), score=34.1, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0028 (district_store).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'regional_warehouse:WH_0042', 'commodity_category': 'laboratory_reagents', 'year': 2022, 'month': 7}) -> {'status': 'ok', 'uid': 'regional_warehouse:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'regional_warehouse', 'year': 2022, 'month': 7, 'reported_issue': 'temperature_excursion', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (54.7%)', 'high wastage (15.7%)'], 'uncertain': True}

Q: why is WH_0042 at the regional_warehouse failing fulfillment for laboratory reagents?
A:

Chosen response:
FACTS: WH_0042 (regional_warehouse, 7/2022): reported issue = temperature_excursion. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (54.7%); high wastage (15.7%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (temperature_excursion).

Rejected response:
FACTS: WH_0042 (regional_warehouse, 7/2022): reported issue = unknown_cause. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (54.7%); high wastage (15.7%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (temperature_excursion).
FACTS: WH_0042 (regional_warehouse, 7/2022): reported issue = unknown_cause. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (54.7%); high wastage (15.7%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (temperature_excursion).

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (54.7%)
high wastage (15.7%)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'uid': 'national_CMS:WH_0081'}) -> []

Q: does WH_0081 at the national_CMS currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=national_CMS:WH_0081)
RECOMMENDATION: nothing urgent here.

Rejected response: not sure, you'd have to check the system yourself


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'compare_by': 'warehouse_level', 'compare_values': ['district_store', 'regional_warehouse']}) -> {'_grouped_by': 'warehouse_level', 'groups': {'district_store': {'n_records': 66, 'avg_inventory_accuracy_pct': 26.8, 'avg_order_fulfilment_rate_pct': 30.2, 'months_with_stockout': 38, 'issue_counts': {'theft_pilferage': 6, 'expired_stock': 6, 'stock_record_discrepancy': 6, 'temperature_excursion': 6, 'FEFO_not_followed': 6, 'damaged_goods': 6, 'overstocking': 6, 'receiving_error': 6, 'understocking': 6, 'dispatch_error': 6, 'pest_infestation': 6}}, 'regional_warehouse': {'n_records': 72, 'avg_inventory_accuracy_pct': 57.1, 'avg_order_fulfilment_rate_pct': 53.5, 'months_with_stockout': 29, 'issue_counts': {'stock_record_discrepancy': 6, 'pest_infestation': 6, 'theft_pilferage': 6, 'understocking': 6, 'expired_stock': 6, 'overstocking': 6, 'receiving_error': 6, 'FEFO_not_followed': 6, 'temperature_excursion': 6, 'damaged_goods': 6, 'dispatch_error': 6}}}}

Q: how do district_store and regional_warehouse compare on kpis?
A:

Chosen response:
FACTS: kpis by warehouse_level: district_store: avg inventory accuracy 26.8%, avg fulfilment 30.2%, 38 months w/ stockout; regional_warehouse: avg inventory accuracy 57.1%, avg fulfilment 53.5%, 29 months w/ stockout
RECOMMENDATION: review the district_store group first - most months with a stockout.

Rejected response:
FACTS: kpis by warehouse_level: district_store: avg inventory accuracy 26.8%, avg fulfilment 30.2%, 38 months w/ stockout; regional_warehouse: avg inventory accuracy 57.1%, avg fulfilment 53.5%, 29 months w/ stockout
RECOMMENDATION: Not sure. (Not enough information)
FACTS: kpis by warehouse_level: district_store: avg inventory accuracy 26.8%, avg fulfilment 30.2%, 38 months w/ stockout; regional_warehouse: avg inventory accuracy 57.1%, avg fulfilment 53.5%, 29 months w/ stockout
RECOMMENDATION: Not sure. (Not enough information)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'national_CMS:WH_0009'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 81.8, 'avg_order_fulfilment_rate_pct': 89.7, 'months_with_stockout': 0, 'issue_counts': {}, 'uid': 'national_CMS:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'national_CMS'}

Q: how is WH_0009 at the national_CMS doing overall?
A:

Chosen response:
FACTS: WH_0009 (national_CMS): avg inventory accuracy 81.8%, avg fulfilment 89.7%, 0 months w/ stockout (based on 1 records)
RECOMMENDATION: looks fine.

Rejected response: FACTS: looks fine.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({'uid': 'regional_warehouse:WH_0021'}) -> [{'uid': 'regional_warehouse:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 13, 'backorder_rate_pct': 65.0}, {'uid': 'regional_warehouse:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 16, 'backorder_rate_pct': 57.1}, {'uid': 'regional_warehouse:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'IV_fluids', 'orders_backordered': 5, 'backorder_rate_pct': 50.0}]

Q: which category has the most backorders at WH_0021 at the regional_warehouse?
A:

Chosen response:
FACTS: 3 backordered records (uid=regional_warehouse:WH_0021). worst: WH_0021 (regional_warehouse, PPE_IPC_supplies) at 65.0% backorder rate
RECOMMENDATION: expedite WH_0021 (regional_warehouse).

Rejected response:
FACTS: 3 backordered records (uid=regional_warehouse:WH_0021). worst: WH_0021 (regional_warehouse, PPE_IPC_supplies) at 65.0% backorder rate
RECOMMENDATION: Not sure. (Not enough information)
FACTS: to repeat, the figure is 3. Again, 3 is the number.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'national_CMS:WH_0011', 'commodity_category': 'nutrition_commodities', 'year': 2022, 'month': 4}) -> {'status': 'ok', 'uid': 'national_CMS:WH_0011', 'warehouse_id': 'WH_0011', 'warehouse_level': 'national_CMS', 'year': 2022, 'month': 4, 'reported_issue': 'dispatch_error', 'has_issue': True, 'signals': ['FEFO compliance failed', 'low inventory accuracy (75.0%)']}

Q: why is WH_0011 at the national_CMS failing fulfillment for nutrition commodities?
A:

Chosen response:
FACTS: WH_0011 (national_CMS, 4/2022): reported issue = dispatch_error. other signals: FEFO compliance failed; low inventory accuracy (75.0%)
RECOMMENDATION: address the reported issue (dispatch_error).

Rejected response:
FACTS: WH_0011 (national_CMS, 4/2022): reported issue = dispatch_error. other signals: FEFO compliance failed; low inventory accuracy (75.0%)
RECOMMENDATION: Not sure. (Not enough information to determine)

FEFO compliance failed
low inventory accuracy (75.0%)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'uid': 'national_CMS:WH_0078'}) -> []

Q: does WH_0078 at the national_CMS currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=national_CMS:WH_0078)
RECOMMENDATION: nothing urgent here.

Rejected response:
FACTS: no active stockouts (uid=national_CMS:WH_0078)
RECOMMENDATION: Not sure about that - would need to check the system for more detail.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'uid': 'regional_warehouse:WH_0017'}) -> [{'uid': 'regional_warehouse:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'facilities_affected_by_stockout': 12}]

Q: does WH_0017 at the regional_warehouse currently have any active stockouts?
A:

Chosen response:
FACTS: 1 active stockouts (uid=regional_warehouse:WH_0017). worst: WH_0017 (regional_warehouse, medical_devices_consumables), 12 facilities hit
RECOMMENDATION: prioritize WH_0017 (regional_warehouse) first.

Rejected response:
FACTS: 1 active stockouts (uid=regional_warehouse:WH_0017). worst: WH_0017 (regional_warehouse, medical_devices_consumables), 12 facilities hit
RECOMMENDATION: Not sure. To get more information, I would need to check further.
FACTS: to repeat, the figure is 1. Again, 1 is the number.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({'compare_by': 'warehouse_level', 'compare_values': ['district_store', 'regional_warehouse']}) -> {'_grouped_by': 'warehouse_level', 'groups': {'district_store': [{'uid': 'district_store:WH_0067', 'warehouse_id': 'WH_0067', 'warehouse_level': 'district_store', 'commodity_category': 'surgical_supplies', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0075', 'warehouse_id': 'WH_0075', 'warehouse_level': 'district_store', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 3, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0033', 'warehouse_id': 'WH_0033', 'warehouse_level': 'district_store', 'commodity_category': 'ARVs', 'orders_backordered': 3, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0012', 'warehouse_id': 'WH_0012', 'warehouse_level': 'district_store', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0046', 'warehouse_id': 'WH_0046', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0075', 'warehouse_id': 'WH_0075', 'warehouse_level': 'district_store', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0080', 'warehouse_id': 'WH_0080', 'warehouse_level': 'district_store', 'commodity_category': 'IV_fluids', 'orders_backordered': 7, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0041', 'warehouse_id': 'WH_0041', 'warehouse_level': 'district_store', 'commodity_category': 'malaria_commodities', 'orders_backordered': 1, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0048', 'warehouse_id': 'WH_0048', 'warehouse_level': 'district_store', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 6, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'district_store', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 3, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0098', 'warehouse_id': 'WH_0098', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'orders_backordered': 3, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0062', 'warehouse_id': 'WH_0062', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0044', 'warehouse_id': 'WH_0044', 'warehouse_level': 'district_store', 'commodity_category': 'IV_fluids', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'orders_backordered': 5, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0069', 'warehouse_id': 'WH_0069', 'warehouse_level': 'district_store', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 1, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'district_store', 'commodity_category': 'ARVs', 'orders_backordered': 5, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0018', 'warehouse_id': 'WH_0018', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0037', 'warehouse_id': 'WH_0037', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', 'orders_backordered': 1, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'orders_backordered': 4, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0038', 'warehouse_id': 'WH_0038', 'warehouse_level': 'district_store', 'commodity_category': 'IV_fluids', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0007', 'warehouse_id': 'WH_0007', 'warehouse_level': 'district_store', 'commodity_category': 'ARVs', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'district_store', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 5, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0045', 'warehouse_id': 'WH_0045', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 2, 'backorder_rate_pct': 100.0}, {'uid': 'district_store:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'orders_backordered': 8, 'backorder_rate_pct': 88.9}, {'uid': 'district_store:WH_0094', 'warehouse_id': 'WH_0094', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 8, 'backorder_rate_pct': 88.9}, {'uid': 'district_store:WH_0068', 'warehouse_id': 'WH_0068', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'orders_backordered': 7, 'backorder_rate_pct': 87.5}, {'uid': 'district_store:WH_0001', 'warehouse_id': 'WH_0001', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 6, 'backorder_rate_pct': 85.7}, {'uid': 'district_store:WH_0091', 'warehouse_id': 'WH_0091', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'orders_backordered': 5, 'backorder_rate_pct': 83.3}, {'uid': 'district_store:WH_0065', 'warehouse_id': 'WH_0065', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 5, 'backorder_rate_pct': 83.3}, {'uid': 'district_store:WH_0054', 'warehouse_id': 'WH_0054', 'warehouse_level': 'district_store', 'commodity_category': 'ARVs', 'orders_backordered': 5, 'backorder_rate_pct': 83.3}, {'uid': 'district_store:WH_0007', 'warehouse_id': 'WH_0007', 'warehouse_level': 'district_store', 'commodity_category': 'IV_fluids', 'orders_backordered': 5, 'backorder_rate_pct': 83.3}, {'uid': 'district_store:WH_0022', 'warehouse_id': 'WH_0022', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 9, 'backorder_rate_pct': 81.8}, {'uid': 'district_store:WH_0067', 'warehouse_id': 'WH_0067', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0071', 'warehouse_id': 'WH_0071', 'warehouse_level': 'district_store', 'commodity_category': 'surgical_supplies', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0080', 'warehouse_id': 'WH_0080', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0053', 'warehouse_id': 'WH_0053', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0014', 'warehouse_id': 'WH_0014', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0092', 'warehouse_id': 'WH_0092', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0056', 'warehouse_id': 'WH_0056', 'warehouse_level': 'district_store', 'commodity_category': 'malaria_commodities', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0005', 'warehouse_id': 'WH_0005', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', 'orders_backordered': 4, 'backorder_rate_pct': 80.0}, {'uid': 'district_store:WH_0010', 'warehouse_id': 'WH_0010', 'warehouse_level': 'district_store', 'commodity_category': 'malaria_commodities', 'orders_backordered': 7, 'backorder_rate_pct': 77.8}, {'uid': 'district_store:WH_0054', 'warehouse_id': 'WH_0054', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', 'orders_backordered': 3, 'backorder_rate_pct': 75.0}, {'uid': 'district_store:WH_0063', 'warehouse_id': 'WH_0063', 'warehouse_level': 'district_store', 'commodity_category': 'surgical_supplies', 'orders_backordered': 3, 'backorder_rate_pct': 75.0}, {'uid': 'district_store:WH_0026', 'warehouse_id': 'WH_0026', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 3, 'backorder_rate_pct': 75.0}, {'uid': 'district_store:WH_0038', 'warehouse_id': 'WH_0038', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 3, 'backorder_rate_pct': 75.0}, {'uid': 'district_store:WH_0094', 'warehouse_id': 'WH_0094', 'warehouse_level': 'district_store', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 5, 'backorder_rate_pct': 71.4}, {'uid': 'district_store:WH_0054', 'warehouse_id': 'WH_0054', 'warehouse_level': 'district_store', 'commodity_category': 'surgical_supplies', 'orders_backordered': 5, 'backorder_rate_pct': 71.4}, {'uid': 'district_store:WH_0078', 'warehouse_id': 'WH_0078', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', 'orders_backordered': 5, 'backorder_rate_pct': 71.4}, {'uid': 'district_store:WH_0032', 'warehouse_id': 'WH_0032', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', 'orders_backordered': 2, 'backorder_rate_pct': 66.7}, {'uid': 'district_store:WH_0062', 'warehouse_id': 'WH_0062', 'warehouse_level': 'district_store', 'commodity_category': 'malaria_commodities', 'orders_backordered': 4, 'backorder_rate_pct': 66.7}, {'uid': 'district_store:WH_0036', 'warehouse_id': 'WH_0036', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'orders_backordered': 2, 'backorder_rate_pct': 66.7}, {'uid': 'district_store:WH_0087', 'warehouse_id': 'WH_0087', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 66.7}, {'uid': 'district_store:WH_0048', 'warehouse_id': 'WH_0048', 'warehouse_level': 'district_store', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 2, 'backorder_rate_pct': 66.7}, {'uid': 'district_store:WH_0011', 'warehouse_id': 'WH_0011', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 66.7}, {'uid': 'district_store:WH_0019', 'warehouse_id': 'WH_0019', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'orders_backordered': 2, 'backorder_rate_pct': 66.7}, {'uid': 'district_store:WH_0033', 'warehouse_id': 'WH_0033', 'warehouse_level': 'district_store', 'commodity_category': 'malaria_commodities', 'orders_backordered': 5, 'backorder_rate_pct': 62.5}, {'uid': 'district_store:WH_0019', 'warehouse_id': 'WH_0019', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 3, 'backorder_rate_pct': 60.0}, {'uid': 'district_store:WH_0033', 'warehouse_id': 'WH_0033', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 4, 'backorder_rate_pct': 57.1}, {'uid': 'district_store:WH_0070', 'warehouse_id': 'WH_0070', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 57.1}, {'uid': 'district_store:WH_0006', 'warehouse_id': 'WH_0006', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'orders_backordered': 5, 'backorder_rate_pct': 55.6}, {'uid': 'district_store:WH_0024', 'warehouse_id': 'WH_0024', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 3, 'backorder_rate_pct': 50.0}, {'uid': 'district_store:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'district_store', 'commodity_category': 'IV_fluids', 'orders_backordered': 2, 'backorder_rate_pct': 50.0}, {'uid': 'district_store:WH_0018', 'warehouse_id': 'WH_0018', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 4, 'backorder_rate_pct': 44.4}], 'regional_warehouse': [{'uid': 'regional_warehouse:WH_0054', 'warehouse_id': 'WH_0054', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 12, 'backorder_rate_pct': 92.3}, {'uid': 'regional_warehouse:WH_0096', 'warehouse_id': 'WH_0096', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'surgical_supplies', 'orders_backordered': 5, 'backorder_rate_pct': 83.3}, {'uid': 'regional_warehouse:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 10, 'backorder_rate_pct': 76.9}, {'uid': 'regional_warehouse:WH_0044', 'warehouse_id': 'WH_0044', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 6, 'backorder_rate_pct': 75.0}, {'uid': 'regional_warehouse:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 12, 'backorder_rate_pct': 75.0}, {'uid': 'regional_warehouse:WH_0022', 'warehouse_id': 'WH_0022', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 9, 'backorder_rate_pct': 75.0}, {'uid': 'regional_warehouse:WH_0089', 'warehouse_id': 'WH_0089', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'orders_backordered': 12, 'backorder_rate_pct': 70.6}, {'uid': 'regional_warehouse:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'orders_backordered': 9, 'backorder_rate_pct': 69.2}, {'uid': 'regional_warehouse:WH_0073', 'warehouse_id': 'WH_0073', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 10, 'backorder_rate_pct': 66.7}, {'uid': 'regional_warehouse:WH_0047', 'warehouse_id': 'WH_0047', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 8, 'backorder_rate_pct': 66.7}, {'uid': 'regional_warehouse:WH_0092', 'warehouse_id': 'WH_0092', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 6, 'backorder_rate_pct': 66.7}, {'uid': 'regional_warehouse:WH_0030', 'warehouse_id': 'WH_0030', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 6, 'backorder_rate_pct': 66.7}, {'uid': 'regional_warehouse:WH_0090', 'warehouse_id': 'WH_0090', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 6, 'backorder_rate_pct': 66.7}, {'uid': 'regional_warehouse:WH_0064', 'warehouse_id': 'WH_0064', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 16, 'backorder_rate_pct': 66.7}, {'uid': 'regional_warehouse:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 13, 'backorder_rate_pct': 65.0}, {'uid': 'regional_warehouse:WH_0066', 'warehouse_id': 'WH_0066', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'surgical_supplies', 'orders_backordered': 9, 'backorder_rate_pct': 64.3}, {'uid': 'regional_warehouse:WH_0041', 'warehouse_id': 'WH_0041', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 11, 'backorder_rate_pct': 61.1}, {'uid': 'regional_warehouse:WH_0079', 'warehouse_id': 'WH_0079', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'orders_backordered': 6, 'backorder_rate_pct': 60.0}, {'uid': 'regional_warehouse:WH_0029', 'warehouse_id': 'WH_0029', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'orders_backordered': 9, 'backorder_rate_pct': 60.0}, {'uid': 'regional_warehouse:WH_0025', 'warehouse_id': 'WH_0025', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 6, 'backorder_rate_pct': 60.0}, {'uid': 'regional_warehouse:WH_0088', 'warehouse_id': 'WH_0088', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'IV_fluids', 'orders_backordered': 6, 'backorder_rate_pct': 60.0}, {'uid': 'regional_warehouse:WH_0096', 'warehouse_id': 'WH_0096', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'controlled_substances', 'orders_backordered': 6, 'backorder_rate_pct': 60.0}, {'uid': 'regional_warehouse:WH_0053', 'warehouse_id': 'WH_0053', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'orders_backordered': 6, 'backorder_rate_pct': 60.0}, {'uid': 'regional_warehouse:WH_0032', 'warehouse_id': 'WH_0032', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'controlled_substances', 'orders_backordered': 6, 'backorder_rate_pct': 60.0}, {'uid': 'regional_warehouse:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 16, 'backorder_rate_pct': 57.1}, {'uid': 'regional_warehouse:WH_0075', 'warehouse_id': 'WH_0075', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 8, 'backorder_rate_pct': 57.1}, {'uid': 'regional_warehouse:WH_0098', 'warehouse_id': 'WH_0098', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 6, 'backorder_rate_pct': 54.5}, {'uid': 'regional_warehouse:WH_0070', 'warehouse_id': 'WH_0070', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'orders_backordered': 8, 'backorder_rate_pct': 53.3}, {'uid': 'regional_warehouse:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 9, 'backorder_rate_pct': 52.9}, {'uid': 'regional_warehouse:WH_0046', 'warehouse_id': 'WH_0046', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 5, 'backorder_rate_pct': 50.0}, {'uid': 'regional_warehouse:WH_0004', 'warehouse_id': 'WH_0004', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 8, 'backorder_rate_pct': 50.0}, {'uid': 'regional_warehouse:WH_0025', 'warehouse_id': 'WH_0025', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'orders_backordered': 9, 'backorder_rate_pct': 50.0}, {'uid': 'regional_warehouse:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'IV_fluids', 'orders_backordered': 5, 'backorder_rate_pct': 50.0}, {'uid': 'regional_warehouse:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'orders_backordered': 8, 'backorder_rate_pct': 50.0}, {'uid': 'regional_warehouse:WH_0037', 'warehouse_id': 'WH_0037', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'orders_backordered': 8, 'backorder_rate_pct': 47.1}, {'uid': 'regional_warehouse:WH_0025', 'warehouse_id': 'WH_0025', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'orders_backordered': 8, 'backorder_rate_pct': 47.1}, {'uid': 'regional_warehouse:WH_0005', 'warehouse_id': 'WH_0005', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 8, 'backorder_rate_pct': 47.1}, {'uid': 'regional_warehouse:WH_0091', 'warehouse_id': 'WH_0091', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 8, 'backorder_rate_pct': 47.1}, {'uid': 'regional_warehouse:WH_0001', 'warehouse_id': 'WH_0001', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 8, 'backorder_rate_pct': 47.1}, {'uid': 'regional_warehouse:WH_0063', 'warehouse_id': 'WH_0063', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'IV_fluids', 'orders_backordered': 7, 'backorder_rate_pct': 46.7}, {'uid': 'regional_warehouse:WH_0045', 'warehouse_id': 'WH_0045', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 7, 'backorder_rate_pct': 46.7}, {'uid': 'regional_warehouse:WH_0066', 'warehouse_id': 'WH_0066', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 6, 'backorder_rate_pct': 46.2}, {'uid': 'regional_warehouse:WH_0006', 'warehouse_id': 'WH_0006', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 6, 'backorder_rate_pct': 46.2}, {'uid': 'regional_warehouse:WH_0046', 'warehouse_id': 'WH_0046', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 6, 'backorder_rate_pct': 46.2}, {'uid': 'regional_warehouse:WH_0053', 'warehouse_id': 'WH_0053', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 5, 'backorder_rate_pct': 45.5}, {'uid': 'regional_warehouse:WH_0011', 'warehouse_id': 'WH_0011', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 5, 'backorder_rate_pct': 45.5}, {'uid': 'regional_warehouse:WH_0013', 'warehouse_id': 'WH_0013', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'surgical_supplies', 'orders_backordered': 5, 'backorder_rate_pct': 45.5}, {'uid': 'regional_warehouse:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'orders_backordered': 7, 'backorder_rate_pct': 43.8}, {'uid': 'regional_warehouse:WH_0012', 'warehouse_id': 'WH_0012', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'orders_backordered': 7, 'backorder_rate_pct': 43.8}, {'uid': 'regional_warehouse:WH_0060', 'warehouse_id': 'WH_0060', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 7, 'backorder_rate_pct': 43.8}, {'uid': 'regional_warehouse:WH_0052', 'warehouse_id': 'WH_0052', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 7, 'backorder_rate_pct': 41.2}, {'uid': 'regional_warehouse:WH_0082', 'warehouse_id': 'WH_0082', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 5, 'backorder_rate_pct': 38.5}, {'uid': 'regional_warehouse:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'IV_fluids', 'orders_backordered': 5, 'backorder_rate_pct': 38.5}, {'uid': 'regional_warehouse:WH_0074', 'warehouse_id': 'WH_0074', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'orders_backordered': 8, 'backorder_rate_pct': 38.1}, {'uid': 'regional_warehouse:WH_0027', 'warehouse_id': 'WH_0027', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'surgical_supplies', 'orders_backordered': 3, 'backorder_rate_pct': 37.5}, {'uid': 'regional_warehouse:WH_0055', 'warehouse_id': 'WH_0055', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'orders_backordered': 7, 'backorder_rate_pct': 36.8}, {'uid': 'regional_warehouse:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 4, 'backorder_rate_pct': 36.4}, {'uid': 'regional_warehouse:WH_0007', 'warehouse_id': 'WH_0007', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'controlled_substances', 'orders_backordered': 9, 'backorder_rate_pct': 36.0}, {'uid': 'regional_warehouse:WH_0052', 'warehouse_id': 'WH_0052', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'IV_fluids', 'orders_backordered': 7, 'backorder_rate_pct': 35.0}, {'uid': 'regional_warehouse:WH_0051', 'warehouse_id': 'WH_0051', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 5, 'backorder_rate_pct': 33.3}, {'uid': 'regional_warehouse:WH_0003', 'warehouse_id': 'WH_0003', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 5, 'backorder_rate_pct': 33.3}, {'uid': 'regional_warehouse:WH_0073', 'warehouse_id': 'WH_0073', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 3, 'backorder_rate_pct': 33.3}, {'uid': 'regional_warehouse:WH_0082', 'warehouse_id': 'WH_0082', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'controlled_substances', 'orders_backordered': 4, 'backorder_rate_pct': 30.8}, {'uid': 'regional_warehouse:WH_0008', 'warehouse_id': 'WH_0008', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 3, 'backorder_rate_pct': 30.0}, {'uid': 'regional_warehouse:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 6, 'backorder_rate_pct': 30.0}, {'uid': 'regional_warehouse:WH_0029', 'warehouse_id': 'WH_0029', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 28.6}, {'uid': 'regional_warehouse:WH_0091', 'warehouse_id': 'WH_0091', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 4, 'backorder_rate_pct': 28.6}, {'uid': 'regional_warehouse:WH_0086', 'warehouse_id': 'WH_0086', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'orders_backordered': 5, 'backorder_rate_pct': 27.8}, {'uid': 'regional_warehouse:WH_0053', 'warehouse_id': 'WH_0053', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 3, 'backorder_rate_pct': 27.3}, {'uid': 'regional_warehouse:WH_0093', 'warehouse_id': 'WH_0093', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'surgical_supplies', 'orders_backordered': 3, 'backorder_rate_pct': 23.1}, {'uid': 'regional_warehouse:WH_0043', 'warehouse_id': 'WH_0043', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 5, 'backorder_rate_pct': 22.7}, {'uid': 'regional_warehouse:WH_0088', 'warehouse_id': 'WH_0088', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 2, 'backorder_rate_pct': 20.0}]}}

Q: how do district_store and regional_warehouse compare on backorders?
A:

Chosen response:
FACTS: backorders by warehouse_level: district_store: worst WH_0067 (surgical_supplies) at 100.0%, 2 orders; regional_warehouse: worst WH_0054 (laboratory_reagents) at 92.3%, 12 orders
RECOMMENDATION: expedite the district_store group first - highest backorder rate.

Rejected response:
FACTS: backorders by warehouse_level: regional_warehouse: worst WH_0054 (laboratory_reagents) at 92.3%, 12 orders
RECOMMENDATION: expedite the district_store group first - highest backorder rate.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({'uid': 'regional_warehouse:WH_0037'}) -> [{'uid': 'regional_warehouse:WH_0037', 'warehouse_id': 'WH_0037', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'orders_backordered': 8, 'backorder_rate_pct': 47.1}]

Q: which category has the most backorders at WH_0037 at the regional_warehouse?
A:

Chosen response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0037). worst: WH_0037 (regional_warehouse, ARVs) at 47.1% backorder rate
RECOMMENDATION: expedite WH_0037 (regional_warehouse).

Rejected response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0887). worst: WH_0887 (regional_warehouse, ARVs) at 47.1% backorder rate
RECOMMENDATION: expedite WH_0887 (regional_warehouse).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'uid': 'national_CMS:WH_0009'}) -> []

Q: does WH_0009 at the national_CMS currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=national_CMS:WH_0009)
RECOMMENDATION: nothing urgent here.

Rejected response: not sure, you'd have to check the system yourself


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'district_store:WH_0017'}) -> [{'uid': 'district_store:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'district_store', 'commodity_category': 'nutrition_commodities', 'risk_score': 7.0, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']}]

Q: is WH_0017 at the district_store at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=district_store:WH_0017) is WH_0017 (district_store, nutrition_commodities), score=7.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0017 (district_store).

Rejected response:
FACTS: top shortage risk (uid=district_store:WH_0017) is WH_0017 (district_store, nutrition_commodities), score=7.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium'] Not sure about the rest of the details.
RECOMMENDATION: focus replenishment planning on WH_0017 (district_store).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'regional_warehouse:WH_0009'}) -> [{'uid': 'regional_warehouse:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'risk_score': 11.0, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']}, {'uid': 'regional_warehouse:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'risk_score': 6.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_high']}]

Q: is WH_0009 at the regional_warehouse at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0009) is WH_0009 (regional_warehouse, essential_medicines), score=11.0, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']
RECOMMENDATION: focus replenishment planning on WH_0009 (regional_warehouse).

Rejected response: FACTS: focus replenishment planning on WH_0009 (regional_warehouse).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'district_store:WH_0099'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 42.5, 'avg_order_fulfilment_rate_pct': 24.2, 'months_with_stockout': 1, 'issue_counts': {'receiving_error': 1}, 'uid': 'district_store:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'district_store'}

Q: how is WH_0099 at the district_store doing overall?
A:

Chosen response:
FACTS: WH_0099 (district_store): avg inventory accuracy 42.5%, avg fulfilment 24.2%, 1 months w/ stockout (based on 1 records), issues on record: {'receiving_error': 1}
RECOMMENDATION: worth a review.

Rejected response:
FACTS: WH_0099 (district_store): avg inventory accuracy 42.5%, avg fulfilment 24.2%, 1 months w/ stockout (based on 1 records), issues on record: {'receiving_error': 1} Not sure about the rest of the details.
RECOMMENDATION: worth a review.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: stockouts({'uid': 'district_store:WH_0011'}) -> []

Q: does WH_0011 at the district_store currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=district_store:WH_0011)
RECOMMENDATION: nothing urgent here.

Rejected response: not sure, you'd have to check the system yourself


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'warehouse_level': 'district_store'}) -> {'dominant_issue': 'theft_pilferage', 'count': 6, 'n_records': 66, 'issue_counts': {'theft_pilferage': 6, 'expired_stock': 6, 'stock_record_discrepancy': 6, 'temperature_excursion': 6, 'FEFO_not_followed': 6, 'damaged_goods': 6, 'overstocking': 6, 'receiving_error': 6, 'understocking': 6, 'dispatch_error': 6, 'pest_infestation': 6}}

Q: why are warehouses in the district_store tier failing?
A:

Chosen response:
FACTS: most common issue (warehouse_level=district_store): theft_pilferage (6 of 66 records)
RECOMMENDATION: investigate theft_pilferage as the top recurring issue.

Rejected response:
FACTS: most common issue (warehouse_level=district_store): theft_pilferage (6 of 66 records)
RECOMMENDATION: Not sure. (Not enough information to determine)
FACTS: to repeat, the figure is 6. Again, 6 is the number.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: backorders({'uid': 'regional_warehouse:WH_0042'}) -> [{'uid': 'regional_warehouse:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 12, 'backorder_rate_pct': 75.0}]

Q: which category has the most backorders at WH_0042 at the regional_warehouse?
A:

Chosen response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0042). worst: WH_0042 (regional_warehouse, laboratory_reagents) at 75.0% backorder rate
RECOMMENDATION: expedite WH_0042 (regional_warehouse).

Rejected response: not sure, you'd have to check the system yourself


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'compare_by': 'region_type', 'compare_values': ['peri_urban', 'rural']}) -> {'_grouped_by': 'region_type', 'groups': {'rural': [{'uid': 'district_store:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0006', 'warehouse_id': 'WH_0006', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'district_store:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'district_store', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}], 'peri_urban': [{'uid': 'district_store:WH_0087', 'warehouse_id': 'WH_0087', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'regional_warehouse:WH_0025', 'warehouse_id': 'WH_0025', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'regional_warehouse:WH_0089', 'warehouse_id': 'WH_0089', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'risk_score': 11.0, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']}]}}

Q: how do peri_urban and rural compare on shortage risk?
A:

Chosen response:
FACTS: shortage risk by region_type: peri_urban: top risk WH_0087 (vaccines), score=11.5; rural: top risk WH_0028 (vaccines), score=11.5
RECOMMENDATION: focus replenishment planning on the rural group first - highest risk score.

Rejected response:
FACTS: shortage risk by region_type: peri_urban: top risk WH_0087 (vaccines), score=11.5; rural: top risk WH_0028 (vaccines), score=11.5
RECOMMENDATION: Not sure. (Not enough information to determine)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: shortage_risk({'uid': 'national_CMS:WH_0003'}) -> [{'uid': 'national_CMS:WH_0003', 'warehouse_id': 'WH_0003', 'warehouse_level': 'national_CMS', 'commodity_category': 'medical_devices_consumables', 'risk_score': 9.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']}]

Q: is WH_0003 at the national_CMS at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=national_CMS:WH_0003) is WH_0003 (national_CMS, medical_devices_consumables), score=9.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']
RECOMMENDATION: focus replenishment planning on WH_0003 (national_CMS).

Rejected response:
FACTS: top shortage risk (uid=national_CMS:WH_0895) is WH_0895 (national_CMS, medical_devices_consumables), score=9.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']
RECOMMENDATION: focus replenishment planning on WH_0895 (national_CMS).
FACTS: top shortage risk (uid=national_CMS:WH_0895) is WH_0895 (national_CMS, medical_devices_consumables), score=9.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']
RECOMMENDATION: focus replenishment planning on WH_0895 (national_CMS).


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'district_store:WH_0099', 'commodity_category': 'controlled_substances', 'year': 2024, 'month': 7}) -> {'status': 'ok', 'uid': 'district_store:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'district_store', 'year': 2024, 'month': 7, 'reported_issue': 'receiving_error', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (42.5%)', 'high wastage (32.1%)', 'active stockout'], 'uncertain': True}

Q: why is WH_0099 at the district_store failing fulfillment for controlled substances?
A:

Chosen response:
FACTS: WH_0099 (district_store, 7/2024): reported issue = receiving_error. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (42.5%); high wastage (32.1%); active stockout (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (receiving_error).

Rejected response: FACTS: address the reported issue (receiving_error).

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (42.5%)
high wastage (32.1%)
active stockout


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: kpis({'uid': 'national_CMS:WH_0050'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 72.2, 'avg_order_fulfilment_rate_pct': 74.1, 'months_with_stockout': 0, 'issue_counts': {'damaged_goods': 1}, 'uid': 'national_CMS:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'national_CMS'}

Q: how is WH_0050 at the national_CMS doing overall?
A:

Chosen response:
FACTS: WH_0050 (national_CMS): avg inventory accuracy 72.2%, avg fulfilment 74.1%, 0 months w/ stockout (based on 1 records), issues on record: {'damaged_goods': 1}
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0050 (national_CMS): avg inventory accuracy 72.2%, avg fulfilment 74.1%, 0 months w/ stockout (based on 1 records), issues on record: {'damaged_goods': 1}
RECOMMENDATION: Not sure. To get more information, I would need to check further.


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'compare_by': 'warehouse_level', 'compare_values': ['district_store', 'regional_warehouse']}) -> {'_grouped_by': 'warehouse_level', 'groups': {'district_store': {'dominant_issue': 'theft_pilferage', 'count': 6, 'n_records': 66, 'issue_counts': {'theft_pilferage': 6, 'expired_stock': 6, 'stock_record_discrepancy': 6, 'temperature_excursion': 6, 'FEFO_not_followed': 6, 'damaged_goods': 6, 'overstocking': 6, 'receiving_error': 6, 'understocking': 6, 'dispatch_error': 6, 'pest_infestation': 6}}, 'regional_warehouse': {'dominant_issue': 'stock_record_discrepancy', 'count': 6, 'n_records': 72, 'issue_counts': {'stock_record_discrepancy': 6, 'pest_infestation': 6, 'theft_pilferage': 6, 'understocking': 6, 'expired_stock': 6, 'overstocking': 6, 'receiving_error': 6, 'FEFO_not_followed': 6, 'temperature_excursion': 6, 'damaged_goods': 6, 'dispatch_error': 6}}}}

Q: how do district_store and regional_warehouse compare on why they're failing?
A:

Chosen response:
FACTS: most common issue by warehouse_level: district_store: theft_pilferage (6x); regional_warehouse: stock_record_discrepancy (6x)
RECOMMENDATION: focus on the district_store group's most common issue first.

Rejected response:
FACTS: most common issue by warehouse_level: district_store: theft_pilferage (6x); regional_warehouse: stock_record_discrepancy (6x)
RECOMMENDATION: Not sure. (Not enough information to determine)
FACTS: most common issue by warehouse_level: district_store: theft_pilferage (6x); regional_warehouse: stock_record_discrepancy (6x)
RECOMMENDATION: Not sure. (Not enough information to determine)


Prompt:
You're a warehouse assistant. Answer using only the data given. Separate FACTS from RECOMMENDATION. Say if you're not sure. Don't make stuff up.

tool call: explain_issue({'uid': 'regional_warehouse:WH_0041', 'commodity_category': 'medical_devices_consumables', 'year': 2022, 'month': 11}) -> {'status': 'ok', 'uid': 'regional_warehouse:WH_0041', 'warehouse_id': 'WH_0041', 'warehouse_level': 'regional_warehouse', 'year': 2022, 'month': 11, 'reported_issue': 'temperature_excursion', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (39.3%)', 'high wastage (22.5%)'], 'uncertain': True}

Q: why is WH_0041 at the regional_warehouse failing fulfillment for medical devices consumables?
A:

Chosen response:
FACTS: WH_0041 (regional_warehouse, 11/2022): reported issue = temperature_excursion. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (39.3%); high wastage (22.5%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (temperature_excursion).

Rejected response:
FACTS: WH_0041 (regional_warehouse, 26.1/2022): reported issue = temperature_excursion. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (39.3%); high wastage (22.5%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (temperature_excursion).

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (39.3%)
high wastage (22.5%)