Product
AI for retail: an analyst on duty in every store
RetailPOS AI reads your own sales and stock data — not generic benchmarks — and turns it into a daily recommendation inbox: what to order, what to mark down, and what looks wrong. You approve; it never acts alone.
- Forecasts from your own data
- Recommendations, never autonomous actions
- Works inside purchasing, pricing and audit screens
Software view
AI Retail as a working product surface
This page leads with the actual operating surface: the screens, controls and connected data the team uses in daily retail work.
- Demand forecastingItem-level forecasts per store, learning seasonality and local patterns.
- Reorder recommendationsSuggested purchase orders sized by forecast, lead time and minimums.
- Pricing signalsSlow movers flagged for markdown; fast movers priced below potential.
AI Command Center · All stores
5 recommendations- View Forecast
Demand forecasting
Demand for Beverages is expected to rise across 3 stores this week.
- Review Suggested Purchase Order
Reorder recommendation
12 items may reach minimum stock levels within 6 days.
- Review Activity
Anomaly detection
Unusual discount activity detected at Store 04 during evening shift.
- Review Markdown Suggestions
Pricing signal
8 slow-moving items identified in Home Care.
- Compare Stores
Multi-store insight
Anna Nagar Store inventory turnover is below network average.
Recommendations always require human approval before any order, price or stock change is made.
Illustrative RetailPOS interface
Capabilities
What the product includes
Demand forecasting
Item-level forecasts per store, learning seasonality and local patterns.
Reorder recommendations
Suggested purchase orders sized by forecast, lead time and minimums.
Pricing signals
Slow movers flagged for markdown; fast movers priced below potential.
Anomaly alerts
Unusual discounts, voids and cash patterns surfaced daily.
How it works
The product workflow, end to end
- 01
Learn
Models read your sales, stock and store patterns continuously.
- 02
Recommend
Actionable suggestions appear where the work happens.
- 03
You approve
Nothing is ordered, repriced or posted without a human decision.
FAQ
AI Retail questions, answered directly
Related
Explore connected capabilities
- AI-Powered RetailPut AI demand forecasting, reorder recommendations, pricing signals and anomaly alerts inside purchasing, pricing and audit workflows — with human approval on every action.Learn more
- Inventory ManagementReal-time stock across stores and warehouses with reorder rules, batch and expiry tracking, serial numbers, transfers and audit-friendly cycle counts.Learn more
- Retail AnalyticsDashboards and scheduled reports for sales, margins, stock turns, dead stock and staff performance — per store, per category, per item.Learn more
See the AI recommendation inbox on demonstration data
A 30-minute walkthrough with your items, your workflows and your questions.