Customer stockouts cut by 40 %, seasonal forecasts automated.
A small-appliances manufacturer running forecasts by gut feel and suffering recurring customer stockouts. Today, its seasonal forecasts are automated on the platform.
Anonymized at customer request
- Context
- 110 employees · €25M revenue
- Geography
- Belgium and Northern France
- Plan chosen
- Executive
- Deployment duration
- 10 weeks (week 1 to 10)
Stack before Metryx
Odoo 17 (Manufacturing, Stock, Sales, Purchasing) · Excel · fragmented Power BI
The problem
Seasonal forecasts were built by hand in Excel by 3 different people every quarter. Customer stockouts were common on high-rotation SKUs. Per-product margins were only consolidated at year-end.
What we put in place
Microsoft Fabric platform installed and monitored by Metryx. Three packs: Production & Capacity, Stock & Procurement, Product Margins. Row-level access on sensitive purchase prices. Proactive cloud cost monitoring. Seasonal forecasting automated on the platform, with an AI-readiness diagnostic delivered at the end of the engagement.
The results
| Metric | Before | After |
|---|---|---|
| Customer stockouts | Recurring on top SKUs | -40 % |
| Per-product margins | Consolidated at year-end | Tracked monthly |
| Seasonal forecast preparation | 3 people · 1 week / quarter | Automated, validated in 1 day |
| Capacity to activate AI use cases | Impossible (fragmented data) | Base ready, diagnostic delivered |
« We've crossed a threshold. We no longer wonder if our data is reliable, we wonder what decision to make with it. »