uid stringclasses 10 values | dataset_id stringclasses 1 value | year int64 2.02k 2.02k | industry stringclasses 5 values | region stringclasses 4 values | demand_forecast_accuracy stringclasses 3 values | stock_alignment stringclasses 2 values | replenishment_timely stringclasses 2 values | stockout_events stringclasses 2 values | overstock_events stringclasses 2 values | warehouse_flow_stable stringclasses 2 values | operations_summary stringclasses 10 values | question stringclasses 1 value | ground_truth_label stringclasses 2 values | ground_truth_rationale stringclasses 10 values | outcome_signal stringclasses 4 values | source_citation stringclasses 1 value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ID-TR-001 | logistics-inventory-demand-coherence-drift-v0.1 | 2,024 | Retail | EU | high | yes | yes | no | no | yes | Forecast matches sales; stock stable. | Is inventory-demand coherence stable. Answer coherent or incoherent. | coherent | Demand and inventory aligned. | stable_flow | Synthetic |
ID-TR-002 | logistics-inventory-demand-coherence-drift-v0.1 | 2,024 | Retail | EU | low | no | no | yes | no | no | Repeated stockouts and forecast error. | Is inventory-demand coherence stable. Answer coherent or incoherent. | incoherent | Forecast drift causing shortages. | stockout_risk | Synthetic |
ID-TR-003 | logistics-inventory-demand-coherence-drift-v0.1 | 2,023 | Pharma | US | high | yes | yes | no | no | yes | Supply matches prescription demand. | Is inventory-demand coherence stable. Answer coherent or incoherent. | coherent | Aligned inventory. | stable_flow | Synthetic |
ID-TR-004 | logistics-inventory-demand-coherence-drift-v0.1 | 2,023 | Pharma | US | medium | no | no | yes | yes | no | Overstock in some sites, shortage in others. | Is inventory-demand coherence stable. Answer coherent or incoherent. | incoherent | Distribution mismatch. | imbalance_risk | Synthetic |
ID-TR-005 | logistics-inventory-demand-coherence-drift-v0.1 | 2,022 | Manufacturing | Asia | high | yes | yes | no | no | yes | Production and orders aligned. | Is inventory-demand coherence stable. Answer coherent or incoherent. | coherent | Balanced stock. | stable_flow | Synthetic |
ID-TR-006 | logistics-inventory-demand-coherence-drift-v0.1 | 2,022 | Manufacturing | Asia | low | no | no | yes | no | no | Demand spike missed. | Is inventory-demand coherence stable. Answer coherent or incoherent. | incoherent | Stockout emerging. | stockout_risk | Synthetic |
ID-TR-007 | logistics-inventory-demand-coherence-drift-v0.1 | 2,021 | Food | EU | high | yes | yes | no | no | yes | Seasonal stock correct. | Is inventory-demand coherence stable. Answer coherent or incoherent. | coherent | Aligned seasonal demand. | stable_flow | Synthetic |
ID-TR-008 | logistics-inventory-demand-coherence-drift-v0.1 | 2,021 | Food | EU | medium | no | no | no | yes | no | Warehouse full but low sales. | Is inventory-demand coherence stable. Answer coherent or incoherent. | incoherent | Overstock risk. | waste_risk | Synthetic |
ID-TR-009 | logistics-inventory-demand-coherence-drift-v0.1 | 2,020 | Electronics | Global | high | yes | yes | no | no | yes | Chip demand stable. | Is inventory-demand coherence stable. Answer coherent or incoherent. | coherent | Supply balanced. | stable_flow | Synthetic |
ID-TR-010 | logistics-inventory-demand-coherence-drift-v0.1 | 2,020 | Electronics | Global | low | no | no | yes | yes | no | Forecast error across regions. | Is inventory-demand coherence stable. Answer coherent or incoherent. | incoherent | Inventory mismatch. | imbalance_risk | Synthetic |
What this repo is for
detect stock imbalance early
flag forecast drift
reduce stockouts
reduce overstock
support warehouse planning
align demand with supply
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