FranceManufacturing2024 – ongoing

Legrand

Gaia and Elia AI tools for product data and sales support

Legrand cuts product data generation time by 60% with an Azure OpenAI tool

WorkingVendor's case studyVendor ↗

Problem

More than 300,000 products across 90 countries needed accurate descriptions and translations for about 200 local entities.

Approach

With the consultancy Artefact, Legrand built Gaia to write localised, SEO-ready product descriptions and Elia to answer product questions for sales and service staff. Both run on Azure OpenAI Service and Azure AI Search.

Results

60%Reduction in time to generate product data with Gaia, according to MicrosoftVendor's case study[1]

82%Share of marketing managers who preferred Gaia's descriptions over manual ones in A/B testingVendor's case study[1]

about 20 minutesEstimated daily time saved per sales rep and customer advisor with Elia (company estimate)Vendor's case study[1]

Takeaway

In A/B testing, 82% of marketing managers preferred Gaia's descriptions to manually written ones.

Sources

Legrand customer story
Microsoft14 Nov 2024Vendor publication

Source summaries

[1]Microsoft14 Nov 2024

Legrand built Gaia and Elia with Artefact on Azure OpenAI. Microsoft reports that Gaia cut product data generation time by 60% and that 82% of marketing managers preferred its descriptions in A/B tests. The company estimates Elia saves each sales rep and customer advisor about 20 minutes a day.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026