A BOGO deal brings people in the door but kills your margin on items that would have sold at full price anyway. Which promos actually grow revenue? Which ones just move the same sales forward a week? The data is there across POS, inventory, and marketing. Nobody connects it until the quarterly review.
Foot traffic went up during the sale. But was that incremental revenue or would those customers have come anyway? Did the BOGO on SKU #1142 bring in new buyers, or did it just discount purchases that would have happened at full price? Most retail teams measure promos by traffic and units sold, not by margin impact.
POS knows what sold. Marketing knows what ads ran. Inventory knows what was stocked. Nobody merges these into a single promo performance view. The result is promo decisions based on gut feel, repeated year after year. The promos that destroy margin look identical to the ones that build it because the connected data is not available.
askotter connects POS transaction data, inventory movement, and marketing spend to calculate margin-adjusted ROI per promotion, per SKU, per store. A BOGO on SKU #1142 might show +18% foot traffic but -$4.2K in margin. Or it might be a net positive because the basket size grew 23%. The difference is invisible without connecting the data. askotter makes it visible, per-store, 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 monitors per-store waste in real time. Connects POS, inventory, and cooler data to catch spoilage, overstock, and shrinkage before they hit the P&L.
askotter gives retail operators daily per-store profitability scoring. Connect POS, staffing, and inventory data to see which locations need help right now.
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.