Create a SMART commitment to backtest an AI forecast before changing a planning rule.
AI forecast backtest before changing a supply plan a Ramadan, holiday, launch, or promotion forecast where the AI recommendation could change inventory, capacity, or allocation By [day/time], I will backtest [specific AI forecast slice] against [baseline] using [metric 1], [metric 2], and [business impact metric]. If the AI beats the baseline by [threshold] without raising [risk metric], I will [decision change]. If not, I will [fallback]. By Thursday 3 p.m., I will backtest the AI forecast for the top 30 Ramadan replenishment SKUs against last year's planner baseline using bias, WAPE, and overstock value. If it improves WAPE by 10%…
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