Sonepar
Global predictive AI platform for inventory and sales
Sonepar extended predictive models to businesses representing 95% of group revenue
Problem
Sonepar's international distribution network managed a broad product range under pressure to maintain availability. Its subsidiaries needed better demand forecasts and more consistent use of customer and logistics data.
Approach
Sonepar worked with Onepoint to design and deploy a shared Data and AI platform. The architecture used Microsoft Fabric and Azure AI Foundry. Deployed applications included personalized product recommendations and automatic categorization of sales emails.
Results
Takeaway
The reported coverage measured the revenue represented by participating businesses. Sonepar did not quantify inventory savings or conversion improvements attributable to the models.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chainMarketing and sales
- Innovation type
- Process innovation
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
Sonepar described a global platform developed with Onepoint and deployed recommendation and email-classification applications. It reported predictive-model coverage across businesses representing 95% of group revenue.
Full details are in the original sources.