From stockouts and overstock to smarter daily replenishment.
An independent suburban retailer has sales data in its POS, stock counts in spreadsheets and supplier information across emails and portals. The data exists—but the daily ordering decision still depends on manual checking and instinct.
Business friction
Cash and sales are both at risk.
- Popular products run out before the next order
- Slow-moving stock ties up working capital
- Staff compare suppliers and build orders manually
Agentic AI response
A daily exception-led workflow.
- Combine POS sales, current stock and open orders
- Flag unusual demand, stockout risk and overstock
- Recommend quantities and supplier options for approval
Human control
The owner keeps the final decision.
- Show the reason behind every recommendation
- Escalate unusual items, margins or supplier changes
- Create the purchase order only after approval
Measures that prove value
Stockout rateInventory daysWrite-offsAdmin hours