Stock what sells. Skip what doesn't.
Demand forecasting agents optimise inventory across thousands of SKUs, cutting waste and ensuring shelves are stocked with what customers actually want.
The challenge
Retailers lose $1.75 trillion annually to overstock and stockouts. Demand patterns shift with seasons, promotions, social trends, and competitor actions. Static forecasts can't keep up, and most ML solutions require a dedicated data team to operate.
How JITM.ai helps
Upload POS data, inventory levels, promotional calendars, and web traffic. JITM.ai builds demand models per SKU or category that agents can query in real time for restocking decisions, pricing adjustments, and promotional planning.
What you can predict
SKU-level demand, promotional lift, churn risk, customer lifetime value, return probability, optimal markdown timing, and regional demand variation.
Why it matters
Even a 1% improvement in forecast accuracy can reduce inventory costs by millions for mid-size retailers. Agents that react to demand signals in real time mean shelves stay stocked and warehouses stay lean.