The problem
What was breaking
Store managers reordered by intuition, so best-sellers ran out while slow lines piled up.
All workIllustrative scenario
TM
Retail · GCC · 9-week build
The Modern Souk
AI Automation
Demand forecasting and auto-replenishment across nine mall stores.
Bold result
Stock-outs on top sellers down 64%
Fewer stock-outs
0%
Lower carrying cost
0%
The approach
How we thought about it
We built demand forecasting on POS history and seasonality, driving automatic replenishment suggestions per store.
The AI system
What we deployed
- POS-driven demand forecasting per store and SKU.
- Automatic replenishment suggestions with approval.
- Slow-mover alerts for markdown planning.
What AIROS runs for them now
The engine, still running.
- Replenishment suggestions land with managers every morning.
Want a result like this?
Talk to AIROS about your funnel — or book a call and we'll walk you through the plan.
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