Customer Service Automation · Document Processing
Legrand, a leader in electrical and digital building infrastructures, powers everyday life by delivering essential products, from lighting controls to wiring devices. But with more than 300,000 products across 90 countries, keeping product information accurate, up-to-date, and globally relevant is a monumental challenge.
Reported impact
Legrand co-developed AI-powered tools Gaia and Elia, using Microsoft Azure OpenAI Service, to streamline product data management and improve customer support. Using Gaia reduced the time to generate product data by 60%, while using Elia improved customer support interactions with fast, accurate information.
Legrand used Azure OpenAI Service, Azure AI Search, Microsoft Dynamics 365 to turn complex business content into faster digital workflows. Legrand, a leader in electrical and digital building infrastructures, powers everyday life by delivering essential products, from lighting controls to wiring devices. But with more than 300,000 products across 90 countries, keeping product information accurate, up-to-date, and globally relevant is a monumental challenge. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Azure AI Search retrieves enterprise content so answers stay grounded in customer data; Microsoft Dynamics 365 provides the common business process layer that standardizes operations; Azure Data Lake stores shared enterprise data for analytics and AI workloads. Business documents and enterprise content are ingested into the AI workflow, classified or summarized by the model layer, and routed into...
Business documents and enterprise content are ingested into the AI workflow, classified or summarized by the model layer, and routed into the application or operations process where employees can review and act on the output.
Legrand co-developed AI-powered tools Gaia and Elia, using Microsoft Azure OpenAI Service, to streamline product data management and improve customer support.
Legrand co-developed AI-powered tools Gaia and Elia, using Microsoft Azure OpenAI Service, to streamline product data management and improve customer support. Using Gaia reduced the time to generate product data by 60%, while using Elia improved customer support interactions with fast, accurate information.
Legrand, a leader in electrical and digital building infrastructures, powers everyday life by delivering essential products, from lighting controls to wiring devices. But with more than 300,000 products across 90 countries, keeping product information accurate, up-to-date, and globally relevant is a monumental challenge.
Vincent Wang, Chief Digital Officer at Legrand, captures the scale of the task: “With so many product references, it’s a huge challenge at the group level to provide the most correct, relevant data.” AI-powered tools to transform operations To meet this challenge, Legrand collaborated with Artefact’s AI and data specialists to co-develop two powerful tools—Gaia and Elia—developed with Azure OpenAI Service Azure AI Search , and Azure Data Lake Storage , within Microsoft Cloud for Manufacturing .
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The page says "More than 39,600 employees worldwide".
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