KPI benchmark
How much does AI improve forecast accuracy?
Relative reduction in forecast error, or relative improvement in forecast accuracy, against the method used before.
How to measure it
Forecast error (for example mean absolute percentage error) of the new model versus the previous method, on the same items, horizon and holdout period.
Across the library
3 reported values, listed per use case below.
Higher is better. Unit: percent.
Reported values by use case
AI demand forecasting and automated replenishment for retail
- Aeon Retailup to 40% · organization claim
Use cases that should track forecast accuracy improvement
Frequently asked questions
- How do you measure forecast accuracy improvement?
- Forecast error (for example mean absolute percentage error) of the new model versus the previous method, on the same items, horizon and holdout period.
- Where do these forecast accuracy improvement numbers come from?
- From public AI deployments in the Blits.ai AI Use Case Library. Every value is quoted from a named source, each organization counts once, and "up to" claims are listed but left out of the median.