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FranceRetail and e-commerce2026 – ongoing

Sonepar

Global predictive AI platform for inventory and sales

Sonepar extended predictive models to businesses representing 95% of group revenue

WorkingCompany's own claimOfficial ↗

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

95%share of group revenue represented by businesses benefiting from predictive models, according to SoneparCompany's own claim[1]

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

Innovation type
Process innovation
Evidence
Company's own claim

Sources

Source summaries

[1]Sonepar24 Sep 2026

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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