#SuccessStories - Ask Your Data: How Sia Built Talk To My Data for L'Oréal North America's Retail Performance

1. Context

Consumer goods companies hold rich sell-in and sell-out data, but business teams often still depend on analysts to understand retail performance and to answer recurring questions. Generative business intelligence lets users ask questions in plain language and get answers directly from the data.

At L'Oréal North America, sell-in and sell-out data existed, but business teams still depended on analysts to understand retail performance.

2. Client Challenge

L'Oréal North America wanted to:

• Give Retail and Commerce teams self-service access to sell-in and sell-out performance.
• Let them analyze performance across brands, products, retailers and markets without navigating complex data structures.
• Reduce their dependence on analysts for recurring questions.

3. What Sia Did ?

Sia embedded a product and engineering team from its Data & AI practice alongside L'Oréal North America's business and technology teams:

• Talk To My Data: a tool that let users explore sell-in and sell-out performance through natural-language questions.
• Self-service analysis: Retail and Commerce teams could analyze performance across brands, products, retailers and markets.
• Continuous improvement: real business questions and user feedback used to keep improving accuracy, relevance and adoption.

4. Results & Outlook

Talk To My Data became an adopted retail decision product, with a growth path running from the sell-in and sell-out use case to additional datasets, brands, markets and commercial decisions.

By combining generative BI with close collaboration with business users, Sia helps consumer goods companies put their data in everyone's hands.