Three AI tools in production for international marketing teams

Context

Within L'Oréal's AI & Tech Accelerator, the marketing and data science teams rely on in-house tools to read the voice of consumers and steer their investments, across several countries at once. We work on three of them.

Approach

On Consumer Loop, a complete overhaul: migration from PostgreSQL to MongoDB, a modernized front end, performance work, then AI features. On BETiq, the brand managers' marketing mix modeling tool, three months embedded in the team. On DaSH, the data science teams' hub, a complete V2 rewrite in two to three months, then maintenance.

Deliverables

• Consumer Loop: consumer ratings and reviews analysis — 250M+ reviews, 300K+ products, 6K+ brands, 9 countries
• AI-generated review summaries and insights
• BETiq: a three-month reinforcement on the marketing budget allocation tool (United States, China, France, United Kingdom, Taiwan)
• DaSH: complete V2 rewrite, performance fixes, maintenance