Predicts stock needs based on sales trends
Using this sales data [PASTE_LAST_90_DAYS_SALES] and current inventory levels [CURRENT_STOCK], predict required inventory for next [TIMEFRAME]. Consider: 1) Seasonality factors [SPECIFY] 2) Lead times [DAYS] 3) Minimum order quantities. Output as [PRODUCT_ID] → [PREDICTED_NEED] units (+[%_CHANGE] from current).
For retail/e-commerce operations optimization