Forecast when and how much stock will run out based on historical sales, seasonality, and trends. Prevents both overstocking and understocking.

Go beyond simple thresholds—analyze demand spikes, weather, holidays, or promotions. Upcoming holiday likely to increase sugar demand by 30%—reorder early.”

Spot inconsistencies between sales and stock levels (e.g., missing items, theft, or data entry errors). Reduces losses and track inventory health.

Identify products that haven’t moved in a while and suggest actions (discount, bundle, return). Free up space and capital. “You haven’t sold rice flour in 21 days—consider bundling it with beans at a discount.”