Food expires on shelves while the same items get reordered somewhere else. Too much in one region, not enough in another. Without per-store demand signals, waste is built into how you operate. Even a 1% reduction across a large chain saves millions annually.
Waste is not just expired food. It is overstock that gets marked down, inventory that sits too long and loses margin, and perishables that spoil because a cooler drifted 8 degrees and nobody noticed. The data exists across POS, temperature sensors, and inventory management. Nobody connects it until the quarterly P&L arrives.
Inventory systems set reorder points as static numbers. They do not know that Store #412 sells 3x more berries in July than January, or that a local event changes demand for a weekend. Without per-store demand forecasting that adapts to patterns, you are always ordering based on averages that do not match reality.
askotter connects POS velocity, inventory levels, cooler temperatures, and seasonal patterns per store. Agents learn what normal demand looks like for each location and flag anomalies. When produce waste jumps 40% at Store #412 because a cooler temp drifted, maintenance gets routed before $8K in spoilage. When berries are overstocked in one district and understocked in another, the imbalance is visible in real time.
Understanding these metrics helps you measure the problem and track improvement. Each links to our full glossary definition with formulas, benchmarks, and role-specific context.
askotter detects stockout risk across every store in real time. POS, inventory, and supply chain data unified so your team catches gaps before customers notice.
askotter gives retail operators daily per-store profitability scoring. Connect POS, staffing, and inventory data to see which locations need help right now.
askotter measures true promotional ROI by connecting POS, inventory, and marketing data. See which promos grow margin and which ones cannibalize full-price sales.
We will connect your data, deploy agents that watch for this specific problem, and surface what matters. Your team stays in control. AI suggests, humans decide.