Data & Analytics
Predictive Analytics to Optimise Retail Inventory
AI that predicts demand and automatically optimises your stock levels
Problem
Current situation
Recurring stock-outs on key products, overstocking on slow-moving items. 30% of capital tied up unnecessarily, estimated lost sales of €15k/month.
Stock-outs 2-3 times/month
30% of stock = slow-moving products
€15k/month in lost sales
Restocking based on intuition
Solution
How AI solves the problem
AI model that analyses history, trends, seasonality, weather and events to predict demand and automatically generate optimal orders.
Demand prediction per SKU for 7-30 days
Seasonality and event consideration
Automatic restocking suggestions
Proactive stock-out alerts
Stock level optimisation per store
FAQ
Frequently asked questions
Implementation time?
Between 1 and 8 weeks depending on your infrastructure.
What ROI to expect?
Positive ROI within 3-6 months thanks to operational savings.
For what company size?
SMEs, Large enterprises. Solution adapted to your scale.
Impact
Measurable results
Stock-outs
Before2-3/mois
After< 1/an
-95%
Overstock
Before30%
After8%
-73%
Lost sales
Before15k€/mois
After1k€/mois
-93%
Capital freed
Before0€
After180k€
ROI x6