Predictive ordering by SKU
Ordering by gut feel means you're either overstocked and writing off spoilage, or understocked and 86'ing items on a Friday night. This playbook generates auto-suggested purchase order lines tied to a real demand forecast, so the manager's job becomes approval, not arithmetic.
Connect sales and inventory history
The forecast needs POS sales history and current on-hand counts per SKU, ideally going back 12+ months to catch seasonality.
Layer in demand signals
Add weather, local events, and day-of-week patterns the same way labor forecasting does - the underlying signal set is similar.
Generate and approve the PO draft
The AI proposes order quantities per SKU; the manager adjusts for anything it doesn't know about (a promo, a closure) and submits.
Worth knowing
Predictive ordering works best for stable, repeat-purchase SKUs. New menu items or one-off promotional items don't have enough history yet - order those manually until the data builds up.