Use case
AI Inventory Forecasting
Predict what you'll sell, what to reorder, and what to discount — before it bites you.
AI inventory forecasting predicts demand at the SKU level so you stop running out of bestsellers and stop sitting on dead stock. The model pulls from your sales history (Shopify, BigCommerce, Square, Lightspeed), supplier lead times, seasonality patterns, marketing calendar, and external signals like weather or local events. It outputs a reorder schedule, a markdown plan for slow-movers, and a forecast you can show your bank. We integrate with Cin7, Inventory Planner, or directly with your POS. Setup is 4 to 6 weeks because clean historical data is everything and most clients need a tidy-up first. Wins: stockouts drop, working capital tied up in slow stock drops, and gross margin climbs because markdown timing gets smarter. For restaurants the same model forecasts food orders by day and station, killing waste. The forecast is never perfect — it's just way better than the gut feeling you've been using.
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