AI that reads one live source, not two lagging ones.
Live demand forecasting
Reorder suggestions and daily prep quantities are re-evaluated on commit, not overnight. A morning spike shifts the afternoon plan.
Anomaly detection at the counter
Unusual price overrides, sudden margin drops and mis-scanned SKUs are flagged in seconds, not in a weekly variance report.
Explanations, not just numbers
Every forecast and every flag carries the transactions that drove it, so a manager can drill into the events that caused the model to react.
Same event, this view
One live source. Every signal.
Forecasts and anomaly checks read from the same transaction table the counter writes to - so a sale at 2:58 is in the 3:00 forecast.
Point of sale
Counter 2 - Terminal A
Item
Woven silk stole - Ivory
WSL-IVR-01
Total
3,499
Payment
UPI
Inventory
-
Aisle 3 - Stoles
Finance
-
4000 - Retail sales
Sales & CRM
-
Anitha K. - Counter 2
What ships in this module
Capabilities that pull their weight.
Not a feature list to make a comparison chart look busy. These are the pieces that actually do the daily lifting of a live business.
- Live SKU-level demand forecasts by location
- Reorder point suggestions that shift with the day
- Price and margin anomaly detection
- Basket and cross-sell recommendations at the counter
- Cohort and churn signals as first-class events
- Staff performance and shift productivity analysis
- Wastage and shrinkage prediction for perishables
- Explanations that link every insight back to the events
Where this shines