Measure and learn
Get better over time.
The system measures itself and shows you where it's right, where it's wrong, and how it's improving—automatically and visibly.
Forecast Accuracy
Measure performance with MAPE, WAPE, and bias tracking at every level.
Bias Tracking
Identify systematic over or under-forecasting before it impacts margins.
Drift Detection
Automatic alerts when model performance diverges from real-world demand.
KPIs that come from your loops — not a data warehouse
Every metric in the Improve pillar is computed from loop events. Inventory turns, OTIF, forecast accuracy, and loop cycle time are live — not last-week's batch run. And they're mapped to the Five Pillars, so you know which part of the system to fix.
- Loop cycle time: how long each loop type takes from open to close
- Exception rate: loops that hit a non-standard state before closing
- OTIF and order fill rate: Execute pillar performance
- Forecast accuracy and bias: Sense and Decide pillar performance
Five Pillars KPI scorecard
Forecast accuracy: 89.3%
2 SKUs without committed forecast
OTIF: 94.2%
Lot pass rate: 97.8%
Cycle time ↓ 0.4 days
Measure the system, not just the inventory.
Most tools show you what you have. Better Data shows you how well your logic is working. Close the loop between decision and outcome.
- Forecast accuracy dashboards by SKU
- Accuracy segmentation by location & channel
- Bias tracking and drift detection
- Operational performance KPIs
Improve feeds back into Sense. The loop is complete.
The Improve pillar doesn't end the loop — it restarts it. Forecast accuracy feeds back into the Sense pillar's signal weights. Cycle time analysis updates threshold configurations in Decide. The system that ran this week is more accurate than the system that ran last week. Automatically.