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_0091'}) -> [{'uid': 'district_store:WH_0091', 'warehouse_id': 'WH_0091', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'risk_score': 8.0, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']}]

Q: is WH_0091 at the district_store at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=district_store:WH_0091) is WH_0091 (district_store, essential_medicines), score=8.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']
RECOMMENDATION: focus replenishment planning on WH_0091 (district_store).

Rejected response:
FACTS: top shortage risk (uid=district_store:WH_0091) is WH_0091 (district_store, essential_medicines), score=8.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']
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_0034'}) -> []

Q: does WH_0034 at the national_CMS currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=national_CMS:WH_0034)
RECOMMENDATION: nothing urgent here.

Rejected response:
FACTS: no active stockouts (uid=national_CMS:WH_0034)
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: backorders({'uid': 'district_store:WH_0046'}) -> [{'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}]

Q: which category has the most backorders at WH_0046 at the district_store?
A:

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0046). worst: WH_0046 (district_store, laboratory_reagents) at 100.0% backorder rate
RECOMMENDATION: expedite WH_0046 (district_store).

Rejected response:
FACTS: 1 backordered records (uid=district_store:WH_0348). worst: WH_0348 (district_store, laboratory_reagents) at 100.0% backorder rate
RECOMMENDATION: expedite WH_0348 (district_store).
FACTS: 1 backordered records (uid=district_store:WH_0348). worst: WH_0348 (district_store, laboratory_reagents) at 100.0% backorder rate
RECOMMENDATION: expedite WH_0348 (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_0017'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 75.9, 'avg_order_fulfilment_rate_pct': 47.6, 'months_with_stockout': 1, 'issue_counts': {'understocking': 1}, 'uid': 'regional_warehouse:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'regional_warehouse'}

Q: how is WH_0017 at the regional_warehouse doing overall?
A:

Chosen response:
FACTS: WH_0017 (regional_warehouse): avg inventory accuracy 75.9%, avg fulfilment 47.6%, 1 months w/ stockout (based on 1 records), issues on record: {'understocking': 1}
RECOMMENDATION: worth a review.

Rejected response:
FACTS: WH_0017 (regional_warehouse): avg inventory accuracy 101.1%, avg fulfilment 47.6%, 1 months w/ stockout (based on 1 records), issues on record: {'understocking': 1}
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({'uid': 'district_store:WH_0022'}) -> [{'uid': 'district_store:WH_0022', 'warehouse_id': 'WH_0022', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'risk_score': 10.0, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']}, {'uid': 'district_store:WH_0022', 'warehouse_id': 'WH_0022', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'risk_score': 6.0, 'risk_factors': ['low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']}]

Q: is WH_0022 at the district_store at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=district_store:WH_0022) is WH_0022 (district_store, laboratory_reagents), score=10.0, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0022 (district_store).

Rejected response: FACTS: focus replenishment planning on WH_0022 (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: backorders({'compare_by': 'warehouse_level', 'compare_values': ['district_store', 'national_CMS']}) -> {'_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}], 'national_CMS': [{'uid': 'national_CMS:WH_0088', 'warehouse_id': 'WH_0088', 'warehouse_level': 'national_CMS', 'commodity_category': 'malaria_commodities', 'orders_backordered': 32, 'backorder_rate_pct': 61.5}, {'uid': 'national_CMS:WH_0075', 'warehouse_id': 'WH_0075', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 32, 'backorder_rate_pct': 59.3}, {'uid': 'national_CMS:WH_0041', 'warehouse_id': 'WH_0041', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 23, 'backorder_rate_pct': 52.3}, {'uid': 'national_CMS:WH_0001', 'warehouse_id': 'WH_0001', 'warehouse_level': 'national_CMS', 'commodity_category': 'IV_fluids', 'orders_backordered': 26, 'backorder_rate_pct': 50.0}, {'uid': 'national_CMS:WH_0040', 'warehouse_id': 'WH_0040', 'warehouse_level': 'national_CMS', 'commodity_category': 'ARVs', 'orders_backordered': 27, 'backorder_rate_pct': 45.8}, {'uid': 'national_CMS:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'orders_backordered': 21, 'backorder_rate_pct': 44.7}, {'uid': 'national_CMS:WH_0075', 'warehouse_id': 'WH_0075', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 24, 'backorder_rate_pct': 44.4}, {'uid': 'national_CMS:WH_0031', 'warehouse_id': 'WH_0031', 'warehouse_level': 'national_CMS', 'commodity_category': 'vaccines', 'orders_backordered': 16, 'backorder_rate_pct': 42.1}, {'uid': 'national_CMS:WH_0094', 'warehouse_id': 'WH_0094', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'orders_backordered': 23, 'backorder_rate_pct': 40.4}, {'uid': 'national_CMS:WH_0078', 'warehouse_id': 'WH_0078', 'warehouse_level': 'national_CMS', 'commodity_category': 'contraceptives', 'orders_backordered': 17, 'backorder_rate_pct': 39.5}, {'uid': 'national_CMS:WH_0040', 'warehouse_id': 'WH_0040', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 20, 'backorder_rate_pct': 39.2}, {'uid': 'national_CMS:WH_0082', 'warehouse_id': 'WH_0082', 'warehouse_level': 'national_CMS', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 16, 'backorder_rate_pct': 39.0}, {'uid': 'national_CMS:WH_0026', 'warehouse_id': 'WH_0026', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 16, 'backorder_rate_pct': 39.0}, {'uid': 'national_CMS:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 21, 'backorder_rate_pct': 38.9}, {'uid': 'national_CMS:WH_0060', 'warehouse_id': 'WH_0060', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'orders_backordered': 23, 'backorder_rate_pct': 38.3}, {'uid': 'national_CMS:WH_0098', 'warehouse_id': 'WH_0098', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 17, 'backorder_rate_pct': 37.8}, {'uid': 'national_CMS:WH_0074', 'warehouse_id': 'WH_0074', 'warehouse_level': 'national_CMS', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 19, 'backorder_rate_pct': 37.3}, {'uid': 'national_CMS:WH_0003', 'warehouse_id': 'WH_0003', 'warehouse_level': 'national_CMS', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 19, 'backorder_rate_pct': 35.8}, {'uid': 'national_CMS:WH_0093', 'warehouse_id': 'WH_0093', 'warehouse_level': 'national_CMS', 'commodity_category': 'contraceptives', 'orders_backordered': 20, 'backorder_rate_pct': 35.7}, {'uid': 'national_CMS:WH_0012', 'warehouse_id': 'WH_0012', 'warehouse_level': 'national_CMS', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 15, 'backorder_rate_pct': 34.9}, {'uid': 'national_CMS:WH_0007', 'warehouse_id': 'WH_0007', 'warehouse_level': 'national_CMS', 'commodity_category': 'ARVs', 'orders_backordered': 17, 'backorder_rate_pct': 34.7}, {'uid': 'national_CMS:WH_0019', 'warehouse_id': 'WH_0019', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 18, 'backorder_rate_pct': 34.6}, {'uid': 'national_CMS:WH_0098', 'warehouse_id': 'WH_0098', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 14, 'backorder_rate_pct': 33.3}, {'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}, {'uid': 'national_CMS:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'national_CMS', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 16, 'backorder_rate_pct': 32.7}, {'uid': 'national_CMS:WH_0082', 'warehouse_id': 'WH_0082', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 15, 'backorder_rate_pct': 32.6}, {'uid': 'national_CMS:WH_0052', 'warehouse_id': 'WH_0052', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 18, 'backorder_rate_pct': 32.1}, {'uid': 'national_CMS:WH_0019', 'warehouse_id': 'WH_0019', 'warehouse_level': 'national_CMS', 'commodity_category': 'contraceptives', 'orders_backordered': 16, 'backorder_rate_pct': 32.0}, {'uid': 'national_CMS:WH_0008', 'warehouse_id': 'WH_0008', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'orders_backordered': 15, 'backorder_rate_pct': 31.2}, {'uid': 'national_CMS:WH_0074', 'warehouse_id': 'WH_0074', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 18, 'backorder_rate_pct': 31.0}, {'uid': 'national_CMS:WH_0018', 'warehouse_id': 'WH_0018', 'warehouse_level': 'national_CMS', 'commodity_category': 'vaccines', 'orders_backordered': 15, 'backorder_rate_pct': 30.6}, {'uid': 'national_CMS:WH_0077', 'warehouse_id': 'WH_0077', 'warehouse_level': 'national_CMS', 'commodity_category': 'vaccines', 'orders_backordered': 14, 'backorder_rate_pct': 28.6}, {'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}, {'uid': 'national_CMS:WH_0080', 'warehouse_id': 'WH_0080', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'orders_backordered': 15, 'backorder_rate_pct': 27.3}, {'uid': 'national_CMS:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 13, 'backorder_rate_pct': 27.1}, {'uid': 'national_CMS:WH_0004', 'warehouse_id': 'WH_0004', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 11, 'backorder_rate_pct': 26.8}, {'uid': 'national_CMS:WH_0069', 'warehouse_id': 'WH_0069', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 15, 'backorder_rate_pct': 26.8}, {'uid': 'national_CMS:WH_0064', 'warehouse_id': 'WH_0064', 'warehouse_level': 'national_CMS', 'commodity_category': 'IV_fluids', 'orders_backordered': 14, 'backorder_rate_pct': 26.4}, {'uid': 'national_CMS:WH_0011', 'warehouse_id': 'WH_0011', 'warehouse_level': 'national_CMS', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 15, 'backorder_rate_pct': 25.9}, {'uid': 'national_CMS:WH_0047', 'warehouse_id': 'WH_0047', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'orders_backordered': 14, 'backorder_rate_pct': 25.5}, {'uid': 'national_CMS:WH_0076', 'warehouse_id': 'WH_0076', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 12, 'backorder_rate_pct': 25.0}, {'uid': 'national_CMS:WH_0047', 'warehouse_id': 'WH_0047', 'warehouse_level': 'national_CMS', 'commodity_category': 'IV_fluids', 'orders_backordered': 10, 'backorder_rate_pct': 24.4}, {'uid': 'national_CMS:WH_0001', 'warehouse_id': 'WH_0001', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'orders_backordered': 16, 'backorder_rate_pct': 24.2}, {'uid': 'national_CMS:WH_0092', 'warehouse_id': 'WH_0092', 'warehouse_level': 'national_CMS', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 9, 'backorder_rate_pct': 23.7}, {'uid': 'national_CMS:WH_0015', 'warehouse_id': 'WH_0015', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'orders_backordered': 13, 'backorder_rate_pct': 22.8}, {'uid': 'national_CMS:WH_0055', 'warehouse_id': 'WH_0055', 'warehouse_level': 'national_CMS', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 9, 'backorder_rate_pct': 22.0}, {'uid': 'national_CMS:WH_0096', 'warehouse_id': 'WH_0096', 'warehouse_level': 'national_CMS', 'commodity_category': 'malaria_commodities', 'orders_backordered': 8, 'backorder_rate_pct': 20.5}, {'uid': 'national_CMS:WH_0034', 'warehouse_id': 'WH_0034', 'warehouse_level': 'national_CMS', 'commodity_category': 'IV_fluids', 'orders_backordered': 10, 'backorder_rate_pct': 20.4}, {'uid': 'national_CMS:WH_0024', 'warehouse_id': 'WH_0024', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 12, 'backorder_rate_pct': 20.0}, {'uid': 'national_CMS:WH_0068', 'warehouse_id': 'WH_0068', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 10, 'backorder_rate_pct': 19.2}, {'uid': 'national_CMS:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 11, 'backorder_rate_pct': 18.6}, {'uid': 'national_CMS:WH_0081', 'warehouse_id': 'WH_0081', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'orders_backordered': 10, 'backorder_rate_pct': 17.9}, {'uid': 'national_CMS:WH_0049', 'warehouse_id': 'WH_0049', 'warehouse_level': 'national_CMS', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 8, 'backorder_rate_pct': 17.4}, {'uid': 'national_CMS:WH_0020', 'warehouse_id': 'WH_0020', 'warehouse_level': 'national_CMS', 'commodity_category': 'ARVs', 'orders_backordered': 8, 'backorder_rate_pct': 16.7}, {'uid': 'national_CMS:WH_0074', 'warehouse_id': 'WH_0074', 'warehouse_level': 'national_CMS', 'commodity_category': 'vaccines', 'orders_backordered': 9, 'backorder_rate_pct': 16.7}, {'uid': 'national_CMS:WH_0089', 'warehouse_id': 'WH_0089', 'warehouse_level': 'national_CMS', 'commodity_category': 'nutrition_commodities', 'orders_backordered': 7, 'backorder_rate_pct': 15.9}, {'uid': 'national_CMS:WH_0053', 'warehouse_id': 'WH_0053', 'warehouse_level': 'national_CMS', 'commodity_category': 'PPE_IPC_supplies', 'orders_backordered': 7, 'backorder_rate_pct': 14.6}, {'uid': 'national_CMS:WH_0086', 'warehouse_id': 'WH_0086', 'warehouse_level': 'national_CMS', 'commodity_category': 'medical_devices_consumables', 'orders_backordered': 9, 'backorder_rate_pct': 13.6}, {'uid': 'national_CMS:WH_0039', 'warehouse_id': 'WH_0039', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'orders_backordered': 8, 'backorder_rate_pct': 13.3}, {'uid': 'national_CMS:WH_0002', 'warehouse_id': 'WH_0002', 'warehouse_level': 'national_CMS', 'commodity_category': 'ARVs', 'orders_backordered': 5, 'backorder_rate_pct': 11.4}, {'uid': 'national_CMS:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'orders_backordered': 6, 'backorder_rate_pct': 11.3}, {'uid': 'national_CMS:WH_0096', 'warehouse_id': 'WH_0096', 'warehouse_level': 'national_CMS', 'commodity_category': 'vaccines', 'orders_backordered': 5, 'backorder_rate_pct': 10.4}, {'uid': 'national_CMS:WH_0034', 'warehouse_id': 'WH_0034', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 3, 'backorder_rate_pct': 10.3}, {'uid': 'national_CMS:WH_0046', 'warehouse_id': 'WH_0046', 'warehouse_level': 'national_CMS', 'commodity_category': 'malaria_commodities', 'orders_backordered': 4, 'backorder_rate_pct': 9.8}, {'uid': 'national_CMS:WH_0091', 'warehouse_id': 'WH_0091', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'orders_backordered': 4, 'backorder_rate_pct': 9.3}, {'uid': 'national_CMS:WH_0034', 'warehouse_id': 'WH_0034', 'warehouse_level': 'national_CMS', 'commodity_category': 'surgical_supplies', 'orders_backordered': 3, 'backorder_rate_pct': 7.0}, {'uid': 'national_CMS:WH_0095', 'warehouse_id': 'WH_0095', 'warehouse_level': 'national_CMS', 'commodity_category': 'IV_fluids', 'orders_backordered': 4, 'backorder_rate_pct': 6.3}, {'uid': 'national_CMS:WH_0032', 'warehouse_id': 'WH_0032', 'warehouse_level': 'national_CMS', 'commodity_category': 'ARVs', 'orders_backordered': 1, 'backorder_rate_pct': 2.0}]}}

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

Chosen response:
FACTS: backorders by warehouse_level: district_store: worst WH_0067 (surgical_supplies) at 100.0%, 2 orders; national_CMS: worst WH_0088 (malaria_commodities) at 61.5%, 32 orders
RECOMMENDATION: expedite the district_store group first - highest backorder rate.

Rejected response:
FACTS: backorders by warehouse_level: national_CMS: worst WH_0088 (malaria_commodities) at 61.5%, 32 orders
RECOMMENDATION: expedite the district_store group first - highest backorder rate.
FACTS: backorders by warehouse_level: national_CMS: worst WH_0088 (malaria_commodities) at 61.5%, 32 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': 'district_store:WH_0010'}) -> [{'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}]

Q: which category has the most backorders at WH_0010 at the district_store?
A:

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0010). worst: WH_0010 (district_store, malaria_commodities) at 77.8% backorder rate
RECOMMENDATION: expedite WH_0010 (district_store).

Rejected response:
FACTS: 1 backordered records (uid=district_store:WH_0438). worst: WH_0438 (district_store, malaria_commodities) at 77.8% backorder rate
RECOMMENDATION: expedite WH_0438 (district_store).
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: kpis({'uid': 'regional_warehouse:WH_0043'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 56.1, 'avg_order_fulfilment_rate_pct': 80.2, 'months_with_stockout': 0, 'issue_counts': {'expired_stock': 1}, 'uid': 'regional_warehouse:WH_0043', 'warehouse_id': 'WH_0043', 'warehouse_level': 'regional_warehouse'}

Q: how is WH_0043 at the regional_warehouse doing overall?
A:

Chosen response:
FACTS: WH_0043 (regional_warehouse): avg inventory accuracy 56.1%, avg fulfilment 80.2%, 0 months w/ stockout (based on 1 records), issues on record: {'expired_stock': 1}
RECOMMENDATION: looks fine.

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: stockouts({'uid': 'national_CMS:WH_0011'}) -> []

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

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

Rejected response:
FACTS: no active stockouts (uid=national_CMS:WH_0492)
RECOMMENDATION: 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: kpis({'uid': 'district_store:WH_0091'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 44.2, 'avg_order_fulfilment_rate_pct': 21.1, 'months_with_stockout': 0, 'issue_counts': {'expired_stock': 1}, 'uid': 'district_store:WH_0091', 'warehouse_id': 'WH_0091', 'warehouse_level': 'district_store'}

Q: how is WH_0091 at the district_store doing overall?
A:

Chosen response:
FACTS: WH_0091 (district_store): avg inventory accuracy 44.2%, avg fulfilment 21.1%, 0 months w/ stockout (based on 1 records), issues on record: {'expired_stock': 1}
RECOMMENDATION: looks fine.

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': 'regional_warehouse:WH_0003', 'commodity_category': 'PPE_IPC_supplies', 'year': 2021, 'month': 5}) -> {'status': 'ok', 'uid': 'regional_warehouse:WH_0003', 'warehouse_id': 'WH_0003', 'warehouse_level': 'regional_warehouse', 'year': 2021, 'month': 5, 'reported_issue': 'understocking', 'has_issue': True, 'signals': ['FEFO compliance failed', 'low inventory accuracy (44.2%)', 'high wastage (19.8%)'], 'uncertain': True}

Q: why is WH_0003 at the regional_warehouse failing fulfillment for PPE IPC supplies?
A:

Chosen response:
FACTS: WH_0003 (regional_warehouse, 5/2021): reported issue = understocking. other signals: FEFO compliance failed; low inventory accuracy (44.2%); high wastage (19.8%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (understocking).

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

FEFO compliance failed
low inventory accuracy (44.2%)
high wastage (19.8%)


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_0007'}) -> [{'uid': 'national_CMS:WH_0007', 'warehouse_id': 'WH_0007', 'warehouse_level': 'national_CMS', 'commodity_category': 'ARVs', 'orders_backordered': 17, 'backorder_rate_pct': 34.7}]

Q: which category has the most backorders at WH_0007 at the national_CMS?
A:

Chosen response:
FACTS: 1 backordered records (uid=national_CMS:WH_0007). worst: WH_0007 (national_CMS, ARVs) at 34.7% backorder rate
RECOMMENDATION: expedite WH_0007 (national_CMS).

Rejected response:
FACTS: 1 backordered records (uid=national_CMS:WH_0007). worst: WH_0007 (national_CMS, ARVs) at 34.7% 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: kpis({'uid': 'regional_warehouse:WH_0009'}) -> {'n_records': 2, 'avg_inventory_accuracy_pct': 75.4, 'avg_order_fulfilment_rate_pct': 56.1, 'months_with_stockout': 1, 'issue_counts': {'stock_record_discrepancy': 1}, 'uid': 'regional_warehouse:WH_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'regional_warehouse'}

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

Chosen response:
FACTS: WH_0009 (regional_warehouse): avg inventory accuracy 75.4%, avg fulfilment 56.1%, 1 months w/ stockout (based on 2 records), issues on record: {'stock_record_discrepancy': 1}
RECOMMENDATION: worth a review.

Rejected response: FACTS: 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: explain_issue({'uid': 'regional_warehouse:WH_0028', 'commodity_category': 'IV_fluids', 'year': 2024, 'month': 2}) -> {'status': 'ok', 'uid': 'regional_warehouse:WH_0028', 'warehouse_id': 'WH_0028', 'warehouse_level': 'regional_warehouse', 'year': 2024, 'month': 2, 'reported_issue': 'receiving_error', 'has_issue': True, 'signals': ['storage conditions not adequate', 'low inventory accuracy (26.9%)', 'high wastage (18.7%)'], 'uncertain': True}

Q: why is WH_0028 at the regional_warehouse failing fulfillment for IV fluids?
A:

Chosen response:
FACTS: WH_0028 (regional_warehouse, 2/2024): reported issue = receiving_error. other signals: storage conditions not adequate; low inventory accuracy (26.9%); high wastage (18.7%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (receiving_error).

Rejected response:
FACTS: WH_0028 (regional_warehouse, 19.9/2024): reported issue = receiving_error. other signals: storage conditions not adequate; low inventory accuracy (26.9%); high wastage (18.7%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (receiving_error).
FACTS: to repeat, the figure is 19.9. Again, 19.9 is the number.

storage conditions not adequate
low inventory accuracy (26.9%)
high wastage (18.7%)


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: kpis({'uid': 'national_CMS:WH_0005'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 81.9, 'avg_order_fulfilment_rate_pct': 100.0, 'months_with_stockout': 0, 'issue_counts': {'expired_stock': 1}, 'uid': 'national_CMS:WH_0005', 'warehouse_id': 'WH_0005', 'warehouse_level': 'national_CMS'}

Q: how is WH_0005 at the national_CMS doing overall?
A:

Chosen response:
FACTS: WH_0005 (national_CMS): avg inventory accuracy 81.9%, avg fulfilment 100.0%, 0 months w/ stockout (based on 1 records), issues on record: {'expired_stock': 1}
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0005 (national_CMS): avg inventory accuracy 81.9%, avg fulfilment 100.0%, 0 months w/ stockout (based on 1 records), issues on record: {'expired_stock': 1}
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': 'district_store:WH_0065'}) -> [{'uid': 'district_store:WH_0065', 'warehouse_id': 'WH_0065', '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_0065 at the district_store at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=district_store:WH_0065) is WH_0065 (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_0065 (district_store).

Rejected response:
FACTS: top shortage risk (uid=district_store:WH_0065) is WH_0065 (district_store, unclassified_stock), score=7.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0065 (district_store).
FACTS: top shortage risk (uid=district_store:WH_0065) is WH_0065 (district_store, unclassified_stock), score=7.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0065 (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: backorders({'uid': 'regional_warehouse:WH_0082'}) -> [{'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_0082', 'warehouse_id': 'WH_0082', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'controlled_substances', 'orders_backordered': 4, 'backorder_rate_pct': 30.8}]

Q: which category has the most backorders at WH_0082 at the regional_warehouse?
A:

Chosen response:
FACTS: 2 backordered records (uid=regional_warehouse:WH_0082). worst: WH_0082 (regional_warehouse, nutrition_commodities) at 38.5% backorder rate
RECOMMENDATION: expedite WH_0082 (regional_warehouse).

Rejected response:
FACTS: 2 backordered records (uid=regional_warehouse:WH_0082). worst: WH_0082 (regional_warehouse, nutrition_commodities) at 38.5% backorder rate
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({'warehouse_level': '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']}, {'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_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: what needs urgent replenishment in the regional_warehouse tier?
A:

Chosen response:
FACTS: top shortage risk (warehouse_level=regional_warehouse) is WH_0007 (regional_warehouse, controlled_substances), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0007 (regional_warehouse).

Rejected response:
FACTS: top shortage risk (warehouse_level=regional_warehouse) is WH_0007 (regional_warehouse, controlled_substances), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical'] Not entirely sure if this is complete.
RECOMMENDATION: focus replenishment planning on WH_0007 (regional_warehouse).
FACTS: to repeat, the figure is 11.5. Again, 11.5 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: backorders({'uid': 'district_store:WH_0091'}) -> [{'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}]

Q: which category has the most backorders at WH_0091 at the district_store?
A:

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0091). worst: WH_0091 (district_store, essential_medicines) at 83.3% backorder rate
RECOMMENDATION: expedite WH_0091 (district_store).

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_0092'}) -> [{'uid': 'district_store:WH_0092', 'warehouse_id': 'WH_0092', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'risk_score': 8.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}]

Q: is WH_0092 at the district_store at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=district_store:WH_0092) is WH_0092 (district_store, vaccines), score=8.5, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0092 (district_store).

Rejected response: FACTS: focus replenishment planning on WH_0092 (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: backorders({'uid': 'district_store:WH_0087'}) -> [{'uid': 'district_store:WH_0087', 'warehouse_id': 'WH_0087', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 66.7}]

Q: which category has the most backorders at WH_0087 at the district_store?
A:

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0087). worst: WH_0087 (district_store, vaccines) at 66.7% backorder rate
RECOMMENDATION: expedite WH_0087 (district_store).

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_0037', 'commodity_category': 'contraceptives', 'year': 2022, 'month': 7}) -> {'status': 'ok', 'uid': 'district_store:WH_0037', 'warehouse_id': 'WH_0037', 'warehouse_level': 'district_store', 'year': 2022, 'month': 7, 'reported_issue': 'receiving_error', 'has_issue': True, 'signals': ['FEFO compliance failed', 'low inventory accuracy (20.2%)', 'high wastage (25.5%)'], 'uncertain': True}

Q: why is WH_0037 at the district_store failing fulfillment for contraceptives?
A:

Chosen response:
FACTS: WH_0037 (district_store, 7/2022): reported issue = receiving_error. other signals: FEFO compliance failed; low inventory accuracy (20.2%); high wastage (25.5%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (receiving_error).

Rejected response:
FACTS: WH_0037 (district_store, 7/2022): reported issue = system_error. other signals: FEFO compliance failed; low inventory accuracy (20.2%); high wastage (25.5%) (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (receiving_error).

FEFO compliance failed
low inventory accuracy (20.2%)
high wastage (25.5%)


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_0036'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 17.3, 'avg_order_fulfilment_rate_pct': 57.6, 'months_with_stockout': 0, 'issue_counts': {'overstocking': 1}, 'uid': 'district_store:WH_0036', 'warehouse_id': 'WH_0036', 'warehouse_level': 'district_store'}

Q: how is WH_0036 at the district_store doing overall?
A:

Chosen response:
FACTS: WH_0036 (district_store): avg inventory accuracy 17.3%, avg fulfilment 57.6%, 0 months w/ stockout (based on 1 records), issues on record: {'overstocking': 1}
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0036 (district_store): avg inventory accuracy 17.3%, avg fulfilment 57.6%, 0 months w/ stockout (based on 1 records), issues on record: {'overstocking': 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: backorders({'uid': 'district_store:WH_0037'}) -> [{'uid': 'district_store:WH_0037', 'warehouse_id': 'WH_0037', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', 'orders_backordered': 1, 'backorder_rate_pct': 100.0}]

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

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0037). worst: WH_0037 (district_store, contraceptives) at 100.0% backorder rate
RECOMMENDATION: expedite WH_0037 (district_store).

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': 'national_CMS:WH_0078'}) -> [{'uid': 'national_CMS:WH_0078', 'warehouse_id': 'WH_0078', 'warehouse_level': 'national_CMS', 'commodity_category': 'contraceptives', 'risk_score': 5.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_medium']}, {'uid': 'national_CMS:WH_0078', 'warehouse_id': 'WH_0078', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'risk_score': 1.5, 'risk_factors': ['criticality_high']}]

Q: is WH_0078 at the national_CMS at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=national_CMS:WH_0078) is WH_0078 (national_CMS, contraceptives), score=5.5, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0078 (national_CMS).

Rejected response:
FACTS: top shortage risk (uid=national_CMS:WH_0078) is WH_0078 (national_CMS, contraceptives), score=33.1, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0078 (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: backorders({'uid': 'regional_warehouse:WH_0041'}) -> [{'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}]

Q: which category has the most backorders at WH_0041 at the regional_warehouse?
A:

Chosen response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0041). worst: WH_0041 (regional_warehouse, medical_devices_consumables) at 61.1% backorder rate
RECOMMENDATION: expedite WH_0041 (regional_warehouse).

Rejected response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0381). worst: WH_0381 (regional_warehouse, medical_devices_consumables) at 61.1% backorder rate
RECOMMENDATION: expedite WH_0381 (regional_warehouse).
FACTS: 1 backordered records (uid=regional_warehouse:WH_0381). worst: WH_0381 (regional_warehouse, medical_devices_consumables) at 61.1% backorder rate
RECOMMENDATION: expedite WH_0381 (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': 'regional_warehouse:WH_0042'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 54.7, 'avg_order_fulfilment_rate_pct': 28.2, 'months_with_stockout': 0, 'issue_counts': {'temperature_excursion': 1}, 'uid': 'regional_warehouse:WH_0042', 'warehouse_id': 'WH_0042', 'warehouse_level': 'regional_warehouse'}

Q: how is WH_0042 at the regional_warehouse doing overall?
A:

Chosen response:
FACTS: WH_0042 (regional_warehouse): avg inventory accuracy 54.7%, avg fulfilment 28.2%, 0 months w/ stockout (based on 1 records), issues on record: {'temperature_excursion': 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: kpis({'warehouse_level': 'national_CMS'}) -> {'n_records': 72, 'avg_inventory_accuracy_pct': 72.2, 'avg_order_fulfilment_rate_pct': 74.5, 'months_with_stockout': 10, 'issue_counts': {'theft_pilferage': 6, 'stock_record_discrepancy': 6, 'damaged_goods': 6, 'overstocking': 6, 'understocking': 6, 'expired_stock': 6, 'FEFO_not_followed': 6, 'receiving_error': 6, 'dispatch_error': 6, 'pest_infestation': 6, 'temperature_excursion': 6}}

Q: what are the kpis for the national_CMS tier?
A:

Chosen response:
FACTS: avg inventory accuracy 72.2%, avg fulfilment 74.5%, 10 months w/ stockout (warehouse_level=national_CMS) (based on 72 records), issues on record: {'theft_pilferage': 6, 'stock_record_discrepancy': 6, 'damaged_goods': 6, 'overstocking': 6, 'understocking': 6, 'expired_stock': 6, 'FEFO_not_followed': 6, 'receiving_error': 6, 'dispatch_error': 6, 'pest_infestation': 6, 'temperature_excursion': 6}
RECOMMENDATION: worth a review.

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({'uid': 'regional_warehouse:WH_0021'}) -> {'n_records': 3, 'avg_inventory_accuracy_pct': 59.8, 'avg_order_fulfilment_rate_pct': 46.9, 'months_with_stockout': 1, 'issue_counts': {'theft_pilferage': 1, 'overstocking': 1, 'dispatch_error': 1}, 'uid': 'regional_warehouse:WH_0021', 'warehouse_id': 'WH_0021', 'warehouse_level': 'regional_warehouse'}

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

Chosen response:
FACTS: WH_0021 (regional_warehouse): avg inventory accuracy 59.8%, avg fulfilment 46.9%, 1 months w/ stockout (based on 3 records), issues on record: {'theft_pilferage': 1, 'overstocking': 1, 'dispatch_error': 1}
RECOMMENDATION: worth a review.

Rejected response:
FACTS: WH_0021 (regional_warehouse): avg inventory accuracy 59.8%, avg fulfilment 46.9%, 1 months w/ stockout (based on 3 records), issues on record: {'theft_pilferage': 1, 'overstocking': 1, 'dispatch_error': 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: shortage_risk({'uid': 'regional_warehouse:WH_0088'}) -> [{'uid': 'regional_warehouse:WH_0088', 'warehouse_id': 'WH_0088', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'IV_fluids', 'risk_score': 6.5, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_high']}, {'uid': 'regional_warehouse:WH_0088', 'warehouse_id': 'WH_0088', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'nutrition_commodities', 'risk_score': 6.0, 'risk_factors': ['stockout', 'high_wastage', 'storage_inadequate', 'criticality_medium']}]

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

Chosen response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0088) is WH_0088 (regional_warehouse, IV_fluids), score=6.5, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_high']
RECOMMENDATION: focus replenishment planning on WH_0088 (regional_warehouse).

Rejected response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0088) is WH_0088 (regional_warehouse, miscellaneous_items), score=6.5, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_high']
RECOMMENDATION: focus replenishment planning on WH_0088 (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_0075'}) -> {'n_records': 2, 'avg_inventory_accuracy_pct': 42.5, 'avg_order_fulfilment_rate_pct': 19.8, 'months_with_stockout': 2, 'issue_counts': {'theft_pilferage': 1, 'stock_record_discrepancy': 1}, 'uid': 'district_store:WH_0075', 'warehouse_id': 'WH_0075', 'warehouse_level': 'district_store'}

Q: how is WH_0075 at the district_store doing overall?
A:

Chosen response:
FACTS: WH_0075 (district_store): avg inventory accuracy 42.5%, avg fulfilment 19.8%, 2 months w/ stockout (based on 2 records), issues on record: {'theft_pilferage': 1, 'stock_record_discrepancy': 1}
RECOMMENDATION: worth a review.

Rejected response:
FACTS: WH_0075 (district_store): avg inventory accuracy 42.5%, avg fulfilment 19.8%, 2 months w/ stockout (based on 2 records), issues on record: {'theft_pilferage': 1, 'stock_record_discrepancy': 1}
RECOMMENDATION: Not sure. (Not enough information)
FACTS: to repeat, the figure is 42.5. Again, 42.5 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: backorders({'uid': 'district_store:WH_0022'}) -> [{'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}]

Q: which category has the most backorders at WH_0022 at the district_store?
A:

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0022). worst: WH_0022 (district_store, laboratory_reagents) at 81.8% backorder rate
RECOMMENDATION: expedite WH_0022 (district_store).

Rejected response:
FACTS: 37.7 backordered records (uid=district_store:WH_0022). worst: WH_0022 (district_store, laboratory_reagents) at 81.8% backorder rate
RECOMMENDATION: expedite WH_0022 (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: backorders({'region_type': 'peri_urban'}) -> [{'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_0018', 'warehouse_id': 'WH_0018', 'warehouse_level': 'district_store', 'commodity_category': 'contraceptives', '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': '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': 'district_store:WH_0091', 'warehouse_id': 'WH_0091', 'warehouse_level': 'district_store', 'commodity_category': 'essential_medicines', 'orders_backordered': 5, 'backorder_rate_pct': 83.3}, '... and 63 more']

Q: which items are backordered in peri_urban areas?
A:

Chosen response:
FACTS: 68 backordered records (region_type=peri_urban). worst: WH_0067 (district_store, surgical_supplies) at 100.0% backorder rate
RECOMMENDATION: expedite WH_0067 (district_store).

Rejected response:
FACTS: 96.8 backordered records (region_type=peri_urban). worst: WH_0067 (district_store, surgical_supplies) at 100.0% backorder rate
RECOMMENDATION: expedite WH_0067 (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({'warehouse_level': 'national_CMS'}) -> [{'uid': 'national_CMS:WH_0080', 'warehouse_id': 'WH_0080', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'national_CMS:WH_0008', 'warehouse_id': 'WH_0008', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'risk_score': 11.0, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']}, {'uid': 'national_CMS:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'risk_score': 10.0, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'criticality_critical']}, {'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']}, {'uid': 'national_CMS:WH_0060', 'warehouse_id': 'WH_0060', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'risk_score': 8.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'criticality_high']}]

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

Chosen response:
FACTS: top shortage risk (warehouse_level=national_CMS) is WH_0080 (national_CMS, controlled_substances), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']
RECOMMENDATION: focus replenishment planning on WH_0080 (national_CMS).

Rejected response:
FACTS: top shortage risk (warehouse_level=national_CMS) is WH_0080 (national_CMS, controlled_substances), score=11.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', '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: kpis({'uid': 'district_store:WH_0017'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 37.2, 'avg_order_fulfilment_rate_pct': 36.7, 'months_with_stockout': 0, 'issue_counts': {'expired_stock': 1}, 'uid': 'district_store:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'district_store'}

Q: how is WH_0017 at the district_store doing overall?
A:

Chosen response:
FACTS: WH_0017 (district_store): avg inventory accuracy 37.2%, avg fulfilment 36.7%, 0 months w/ stockout (based on 1 records), issues on record: {'expired_stock': 1}
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0017 (district_store): avg inventory accuracy 37.2%, avg fulfilment 36.7%, 0 months w/ stockout (based on 1 records), issues on record: {'expired_stock': 1} Not entirely sure if this is complete.
RECOMMENDATION: looks fine.
FACTS: to repeat, the figure is 37.2. Again, 37.2 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: stockouts({'uid': 'regional_warehouse:WH_0025'}) -> [{'uid': 'regional_warehouse:WH_0025', 'warehouse_id': 'WH_0025', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'ARVs', 'facilities_affected_by_stockout': 38}, {'uid': 'regional_warehouse:WH_0025', 'warehouse_id': 'WH_0025', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'vaccines', 'facilities_affected_by_stockout': 7}]

Q: does WH_0025 at the regional_warehouse currently have any active stockouts?
A:

Chosen response:
FACTS: 2 active stockouts (uid=regional_warehouse:WH_0025). worst: WH_0025 (regional_warehouse, ARVs), 38 facilities hit
RECOMMENDATION: prioritize WH_0025 (regional_warehouse) first.

Rejected response:
FACTS: 17.4 active stockouts (uid=regional_warehouse:WH_0025). worst: WH_0025 (regional_warehouse, ARVs), 38 facilities hit
RECOMMENDATION: prioritize WH_0025 (regional_warehouse) 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({'uid': 'district_store:WH_0037'}) -> []

Q: does WH_0037 at the district_store currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=district_store:WH_0037)
RECOMMENDATION: nothing urgent here.

Rejected response:
FACTS: no active stockouts (uid=district_store:WH_0363)
RECOMMENDATION: 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: backorders({'uid': 'regional_warehouse:WH_0030'}) -> [{'uid': 'regional_warehouse:WH_0030', 'warehouse_id': 'WH_0030', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'contraceptives', 'orders_backordered': 6, 'backorder_rate_pct': 66.7}]

Q: which category has the most backorders at WH_0030 at the regional_warehouse?
A:

Chosen response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0030). worst: WH_0030 (regional_warehouse, contraceptives) at 66.7% backorder rate
RECOMMENDATION: expedite WH_0030 (regional_warehouse).

Rejected response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0030). worst: WH_0030 (regional_warehouse, contraceptives) at 66.7% 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: backorders({'uid': 'regional_warehouse:WH_0009'}) -> [{'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_0009', 'warehouse_id': 'WH_0009', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'essential_medicines', 'orders_backordered': 7, 'backorder_rate_pct': 43.8}]

Q: which category has the most backorders at WH_0009 at the regional_warehouse?
A:

Chosen response:
FACTS: 2 backordered records (uid=regional_warehouse:WH_0009). worst: WH_0009 (regional_warehouse, ARVs) at 50.0% backorder rate
RECOMMENDATION: expedite WH_0009 (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: stockouts({'uid': 'district_store:WH_0026'}) -> [{'uid': 'district_store:WH_0026', 'warehouse_id': 'WH_0026', 'warehouse_level': 'district_store', 'commodity_category': 'laboratory_reagents', 'facilities_affected_by_stockout': 2}]

Q: does WH_0026 at the district_store currently have any active stockouts?
A:

Chosen response:
FACTS: 1 active stockouts (uid=district_store:WH_0026). worst: WH_0026 (district_store, laboratory_reagents), 2 facilities hit
RECOMMENDATION: prioritize WH_0026 (district_store) first.

Rejected response:
FACTS: 1 active stockouts (uid=district_store:WH_0026). worst: WH_0026 (district_store, laboratory_reagents), 2 facilities hit Not sure about the rest of the details.
RECOMMENDATION: prioritize WH_0026 (district_store) first.
FACTS: 1 active stockouts (uid=district_store:WH_0026). worst: WH_0026 (district_store, laboratory_reagents), 2 facilities hit Not sure about the rest of the details.
RECOMMENDATION: prioritize WH_0026 (district_store) 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: shortage_risk({'uid': 'national_CMS:WH_0081'}) -> [{'uid': 'national_CMS:WH_0081', 'warehouse_id': 'WH_0081', 'warehouse_level': 'national_CMS', 'commodity_category': 'laboratory_reagents', 'risk_score': 1.5, 'risk_factors': ['high_wastage', 'criticality_medium']}]

Q: is WH_0081 at the national_CMS at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=national_CMS:WH_0081) is WH_0081 (national_CMS, laboratory_reagents), score=1.5, factors=['high_wastage', 'criticality_medium']
RECOMMENDATION: focus replenishment planning on WH_0081 (national_CMS).

Rejected response:
FACTS: top shortage risk (uid=national_CMS:WH_0081) is WH_0081 (national_CMS, laboratory_reagents), score=1.5, factors=['high_wastage', 'criticality_medium']
RECOMMENDATION: Not sure. To get more information, I would need to check further.
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({'compare_by': 'warehouse_level', 'compare_values': ['district_store', 'national_CMS', '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']}], 'national_CMS': [{'uid': 'national_CMS:WH_0080', 'warehouse_id': 'WH_0080', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'risk_score': 11.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_critical']}, {'uid': 'national_CMS:WH_0008', 'warehouse_id': 'WH_0008', 'warehouse_level': 'national_CMS', 'commodity_category': 'essential_medicines', 'risk_score': 11.0, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']}, {'uid': 'national_CMS:WH_0099', 'warehouse_id': 'WH_0099', 'warehouse_level': 'national_CMS', 'commodity_category': 'controlled_substances', 'risk_score': 10.0, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', '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: compare shortage risk across tiers
A:

Chosen response:
FACTS: shortage risk by warehouse_level: district_store: top risk WH_0028 (vaccines), score=11.5; national_CMS: top risk WH_0080 (controlled_substances), 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: kpis({'uid': 'national_CMS:WH_0018'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 62.4, 'avg_order_fulfilment_rate_pct': 71.4, 'months_with_stockout': 0, 'issue_counts': {'receiving_error': 1}, 'uid': 'national_CMS:WH_0018', 'warehouse_id': 'WH_0018', 'warehouse_level': 'national_CMS'}

Q: how is WH_0018 at the national_CMS doing overall?
A:

Chosen response:
FACTS: WH_0018 (national_CMS): avg inventory accuracy 62.4%, avg fulfilment 71.4%, 0 months w/ stockout (based on 1 records), issues on record: {'receiving_error': 1}
RECOMMENDATION: looks fine.

Rejected response:
FACTS: WH_0506 (national_CMS): avg inventory accuracy 62.4%, avg fulfilment 71.4%, 0 months w/ stockout (based on 1 records), issues on record: {'receiving_error': 1}
RECOMMENDATION: looks fine.
FACTS: to repeat, the figure is 62.4. Again, 62.4 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({'compare_by': 'region_type', 'compare_values': ['rural', 'urban']}) -> {'_grouped_by': 'region_type', 'groups': {'rural': {'n_records': 87, 'avg_inventory_accuracy_pct': 42.2, 'avg_order_fulfilment_rate_pct': 42.5, 'months_with_stockout': 45, '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}}, '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: how do rural and urban compare on kpis?
A:

Chosen response:
FACTS: kpis by region_type: rural: avg inventory accuracy 42.2%, avg fulfilment 42.5%, 45 months w/ stockout; urban: avg inventory accuracy 68.8%, avg fulfilment 68.5%, 12 months w/ stockout
RECOMMENDATION: review the rural group first - most months with a stockout.

Rejected response:
FACTS: kpis by region_type: rural: avg inventory accuracy 42.2%, avg fulfilment 42.5%, 45 months w/ stockout; urban: avg inventory accuracy 68.8%, avg fulfilment 68.5%, 12 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: explain_issue({'uid': 'national_CMS:WH_0005', 'commodity_category': 'ARVs', 'year': 2024, 'month': 3}) -> {'status': 'ok', 'uid': 'national_CMS:WH_0005', 'warehouse_id': 'WH_0005', 'warehouse_level': 'national_CMS', 'year': 2024, 'month': 3, 'reported_issue': 'expired_stock', 'has_issue': True, 'signals': ['FEFO compliance failed', 'low inventory accuracy (81.9%)', 'high wastage (19.1%)']}

Q: why is WH_0005 at the national_CMS failing fulfillment for ARVs?
A:

Chosen response:
FACTS: WH_0005 (national_CMS, 3/2024): reported issue = expired_stock. other signals: FEFO compliance failed; low inventory accuracy (81.9%); high wastage (19.1%)
RECOMMENDATION: address the reported issue (expired_stock).

Rejected response:
FACTS: WH_0005 (national_CMS, 35.6/2024): reported issue = expired_stock. other signals: FEFO compliance failed; low inventory accuracy (81.9%); high wastage (19.1%)
RECOMMENDATION: address the reported issue (expired_stock).
FACTS: to repeat, the figure is 35.6. Again, 35.6 is the number.

FEFO compliance failed
low inventory accuracy (81.9%)
high wastage (19.1%)


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_0007'}) -> []

Q: does WH_0007 at the national_CMS currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=national_CMS:WH_0007)
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: backorders({'warehouse_level': '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}, '... and 67 more']

Q: which items are backordered in the regional_warehouse tier?
A:

Chosen response:
FACTS: 72 backordered records (warehouse_level=regional_warehouse). worst: WH_0054 (regional_warehouse, laboratory_reagents) at 92.3% backorder rate
RECOMMENDATION: expedite WH_0054 (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: stockouts({'uid': 'district_store:WH_0091'}) -> []

Q: does WH_0091 at the district_store currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=district_store:WH_0091)
RECOMMENDATION: nothing urgent here.

Rejected response:
FACTS: no active stockouts (uid=district_store:WH_0493)
RECOMMENDATION: 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: explain_issue({'uid': 'regional_warehouse:WH_0050', 'commodity_category': 'laboratory_reagents', 'year': 2024, 'month': 9}) -> {'status': 'ok', 'uid': 'regional_warehouse:WH_0050', 'warehouse_id': 'WH_0050', 'warehouse_level': 'regional_warehouse', 'year': 2024, 'month': 9, 'reported_issue': 'theft_pilferage', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (52.5%)', 'high wastage (19.2%)', 'active stockout']}

Q: why is WH_0050 at the regional_warehouse failing fulfillment for laboratory reagents?
A:

Chosen response:
FACTS: WH_0050 (regional_warehouse, 9/2024): reported issue = theft_pilferage. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (52.5%); high wastage (19.2%); active stockout
RECOMMENDATION: address the reported issue (theft_pilferage).

Rejected response:
FACTS: WH_0050 (regional_warehouse, 9/2024): reported issue = theft_pilferage. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (52.5%); high wastage (19.2%); active stockout Not sure if there's more to report here.
RECOMMENDATION: address the reported issue (theft_pilferage).
FACTS: to repeat, the figure is 9. Again, 9 is the number.

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (52.5%)
high wastage (19.2%)
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': 'district_store:WH_0011'}) -> [{'uid': 'district_store:WH_0011', 'warehouse_id': 'WH_0011', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'orders_backordered': 4, 'backorder_rate_pct': 66.7}]

Q: which category has the most backorders at WH_0011 at the district_store?
A:

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0011). worst: WH_0011 (district_store, vaccines) at 66.7% backorder rate
RECOMMENDATION: expedite WH_0011 (district_store).

Rejected response:
FACTS: 1 backordered records (uid=district_store:WH_0011). worst: WH_0011 (district_store, vaccines) at 66.7% backorder rate
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': 'district_store:WH_0087'}) -> {'n_records': 1, 'avg_inventory_accuracy_pct': 24.5, 'avg_order_fulfilment_rate_pct': 39.2, 'months_with_stockout': 1, 'issue_counts': {'overstocking': 1}, 'uid': 'district_store:WH_0087', 'warehouse_id': 'WH_0087', 'warehouse_level': 'district_store'}

Q: how is WH_0087 at the district_store doing overall?
A:

Chosen response:
FACTS: WH_0087 (district_store): avg inventory accuracy 24.5%, avg fulfilment 39.2%, 1 months w/ stockout (based on 1 records), issues on record: {'overstocking': 1}
RECOMMENDATION: worth a review.

Rejected response: FACTS: 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: kpis({}) -> {'n_records': 210, 'avg_inventory_accuracy_pct': 52.7, 'avg_order_fulfilment_rate_pct': 53.4, 'months_with_stockout': 77, 'issue_counts': {'theft_pilferage': 18, 'expired_stock': 18, 'stock_record_discrepancy': 18, 'temperature_excursion': 18, 'FEFO_not_followed': 18, 'damaged_goods': 18, 'overstocking': 18, 'receiving_error': 18, 'understocking': 18, 'dispatch_error': 18, 'pest_infestation': 18}}

Q: how's everything doing overall?
A:

Chosen response:
FACTS: avg inventory accuracy 52.7%, avg fulfilment 53.4%, 77 months w/ stockout (based on 210 records), issues on record: {'theft_pilferage': 18, 'expired_stock': 18, 'stock_record_discrepancy': 18, 'temperature_excursion': 18, 'FEFO_not_followed': 18, 'damaged_goods': 18, 'overstocking': 18, 'receiving_error': 18, 'understocking': 18, 'dispatch_error': 18, 'pest_infestation': 18}
RECOMMENDATION: worth a review.

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_0018', 'commodity_category': 'vaccines', 'year': 2022, 'month': 9}) -> {'status': 'ok', 'uid': 'national_CMS:WH_0018', 'warehouse_id': 'WH_0018', 'warehouse_level': 'national_CMS', 'year': 2022, 'month': 9, 'reported_issue': 'receiving_error', 'has_issue': True, 'signals': ['low inventory accuracy (62.4%)', 'high wastage (9.8%)']}

Q: why is WH_0018 at the national_CMS failing fulfillment for vaccines?
A:

Chosen response:
FACTS: WH_0018 (national_CMS, 9/2022): reported issue = receiving_error. other signals: low inventory accuracy (62.4%); high wastage (9.8%)
RECOMMENDATION: address the reported issue (receiving_error).

Rejected response:
FACTS: WH_0018 (national_CMS, 9/2022): reported issue = receiving_error. other signals: low inventory accuracy (62.4%); high wastage (9.8%)
RECOMMENDATION: Not sure. To get more information, I would need to check further.

low inventory accuracy (62.4%)
high wastage (9.8%)


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_0017'}) -> [{'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}]

Q: which category has the most backorders at WH_0017 at the regional_warehouse?
A:

Chosen response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0017). worst: WH_0017 (regional_warehouse, medical_devices_consumables) at 52.9% backorder rate
RECOMMENDATION: expedite WH_0017 (regional_warehouse).

Rejected response:
FACTS: 1 backordered records (uid=regional_warehouse:WH_0209). worst: WH_0209 (regional_warehouse, medical_devices_consumables) at 52.9% backorder rate
RECOMMENDATION: expedite WH_0209 (regional_warehouse).
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: stockouts({'uid': 'regional_warehouse:WH_0028'}) -> []

Q: does WH_0028 at the regional_warehouse currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=regional_warehouse:WH_0028)
RECOMMENDATION: nothing urgent here.

Rejected response:
FACTS: no active stockouts (uid=regional_warehouse:WH_0028)
RECOMMENDATION: Not sure. (Not enough information to determine)
FACTS: no active stockouts (uid=regional_warehouse:WH_0028)
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': 'district_store:WH_0069'}) -> [{'uid': 'district_store:WH_0069', 'warehouse_id': 'WH_0069', 'warehouse_level': 'district_store', 'commodity_category': 'medical_devices_consumables', 'risk_score': 9.5, 'risk_factors': ['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']}]

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

Chosen response:
FACTS: top shortage risk (uid=district_store:WH_0069) is WH_0069 (district_store, medical_devices_consumables), score=9.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']
RECOMMENDATION: focus replenishment planning on WH_0069 (district_store).

Rejected response:
FACTS: top shortage risk (uid=district_store:WH_0069) is WH_0069 (district_store, medical_devices_consumables), score=9.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']
RECOMMENDATION: Not sure about that - would need to check the system for more detail.
FACTS: top shortage risk (uid=district_store:WH_0069) is WH_0069 (district_store, medical_devices_consumables), score=9.5, factors=['stockout', 'high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate']
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': 'district_store:WH_0070'}) -> [{'uid': 'district_store:WH_0070', 'warehouse_id': 'WH_0070', 'warehouse_level': 'district_store', 'commodity_category': 'vaccines', 'facilities_affected_by_stockout': 2}]

Q: does WH_0070 at the district_store currently have any active stockouts?
A:

Chosen response:
FACTS: 1 active stockouts (uid=district_store:WH_0070). worst: WH_0070 (district_store, vaccines), 2 facilities hit
RECOMMENDATION: prioritize WH_0070 (district_store) first.

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({'compare_by': 'region_type', 'compare_values': ['rural', 'urban']}) -> {'_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}}, 'urban': {'dominant_issue': 'dispatch_error', 'count': 7, 'n_records': 55, '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: how do rural and urban compare on why they're failing?
A:

Chosen response:
FACTS: most common issue by region_type: rural: FEFO_not_followed (10x); urban: dispatch_error (7x)
RECOMMENDATION: focus on the rural group's most common issue first.

Rejected response:
FACTS: most common issue by region_type: rural: FEFO_not_followed (10x); urban: dispatch_error (7x)
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_0043'}) -> []

Q: does WH_0043 at the regional_warehouse currently have any active stockouts?
A:

Chosen response:
FACTS: no active stockouts (uid=regional_warehouse:WH_0043)
RECOMMENDATION: nothing urgent here.

Rejected response:
FACTS: no active stockouts (uid=regional_warehouse:WH_0374)
RECOMMENDATION: 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: explain_issue({'uid': 'district_store:WH_0069', 'commodity_category': 'medical_devices_consumables', 'year': 2023, 'month': 11}) -> {'status': 'ok', 'uid': 'district_store:WH_0069', 'warehouse_id': 'WH_0069', 'warehouse_level': 'district_store', 'year': 2023, 'month': 11, 'reported_issue': 'overstocking', 'has_issue': True, 'signals': ['storage conditions not adequate', 'low inventory accuracy (35.6%)', 'high wastage (27.2%)', 'active stockout'], 'uncertain': True}

Q: why is WH_0069 at the district_store failing fulfillment for medical devices consumables?
A:

Chosen response:
FACTS: WH_0069 (district_store, 11/2023): reported issue = overstocking. other signals: storage conditions not adequate; low inventory accuracy (35.6%); high wastage (27.2%); active stockout (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (overstocking).

Rejected response:
FACTS: WH_0069 (district_store, 11/2023): reported issue = warehouse_mismanagement. other signals: storage conditions not adequate; low inventory accuracy (35.6%); high wastage (27.2%); active stockout (note: report not submitted, numbers may be provisional)
RECOMMENDATION: address the reported issue (overstocking).

storage conditions not adequate
low inventory accuracy (35.6%)
high wastage (27.2%)
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: explain_issue({'uid': 'regional_warehouse:WH_0017', 'commodity_category': 'medical_devices_consumables', 'year': 2022, 'month': 6}) -> {'status': 'ok', 'uid': 'regional_warehouse:WH_0017', 'warehouse_id': 'WH_0017', 'warehouse_level': 'regional_warehouse', 'year': 2022, 'month': 6, 'reported_issue': 'understocking', 'has_issue': True, 'signals': ['storage conditions not adequate', 'FEFO compliance failed', 'low inventory accuracy (75.9%)', 'high wastage (22.9%)', 'active stockout']}

Q: why is WH_0017 at the regional_warehouse failing fulfillment for medical devices consumables?
A:

Chosen response:
FACTS: WH_0017 (regional_warehouse, 6/2022): reported issue = understocking. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (75.9%); high wastage (22.9%); active stockout
RECOMMENDATION: address the reported issue (understocking).

Rejected response:
FACTS: WH_0017 (regional_warehouse, 6/2022): reported issue = understocking. other signals: storage conditions not adequate; FEFO compliance failed; low inventory accuracy (75.9%); high wastage (22.9%); active stockout
RECOMMENDATION: Not sure about that - would need to check the system for more detail.
FACTS: to repeat, the figure is 6. Again, 6 is the number.

storage conditions not adequate
FEFO compliance failed
low inventory accuracy (75.9%)
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: shortage_risk({'uid': 'regional_warehouse:WH_0086'}) -> [{'uid': 'regional_warehouse:WH_0086', 'warehouse_id': 'WH_0086', 'warehouse_level': 'regional_warehouse', 'commodity_category': 'malaria_commodities', 'risk_score': 8.0, 'risk_factors': ['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']}]

Q: is WH_0086 at the regional_warehouse at risk of running short on anything?
A:

Chosen response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0086) is WH_0086 (regional_warehouse, malaria_commodities), score=8.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']
RECOMMENDATION: focus replenishment planning on WH_0086 (regional_warehouse).

Rejected response:
FACTS: top shortage risk (uid=regional_warehouse:WH_0086) is WH_0086 (regional_warehouse, malaria_commodities), score=8.0, factors=['high_backorder_rate', 'low_fulfilment', 'high_wastage', 'storage_inadequate', 'criticality_high']
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: backorders({'uid': 'district_store:WH_0036'}) -> [{'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}]

Q: which category has the most backorders at WH_0036 at the district_store?
A:

Chosen response:
FACTS: 1 backordered records (uid=district_store:WH_0036). worst: WH_0036 (district_store, essential_medicines) at 66.7% backorder rate
RECOMMENDATION: expedite WH_0036 (district_store).

Rejected response:
FACTS: 1 backordered records (uid=district_store:WH_0036). worst: WH_0036 (district_store, essential_medicines) at 66.7% backorder rate
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: 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: what's our backorder situation?
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: expedite WH_0067 (district_store).