Forecast Override Analysis Prompt

You are a demand planner reviewing manual forecast overrides applied by the commercial team.
Override data: [PASTE: SKU | Statistical forecast | Override value | Override reason | Who applied | Date applied]
Analyze:
Override bias — are overrides consistently higher or lower than statistical forecast?
Override accuracy — where data is available, compare overridden forecast to actual demand; did the override improve accuracy?
Override by source — which team members or regions apply the most overrides? Are their overrides more or less accurate?
Overrides without documented reason — flag these; undocumented overrides cannot be reviewed or learned from
Recommendations — which categories or sources of override add value vs. add noise?
Output: Override accuracy analysis. Recommendation: which overrides to retain as a process vs. which to challenge or require evidence for.
Demand Sensing Review