(Gen)AI at the Heart of Mirakl's Product: From Inception to Deployment of the Mirakl Catalog Transformer

Mirakl was founded in 2012 with the idea of enabling any retailer to offer the best deals to their customers by developing a marketplace activity. Since 2020, the Data Science team has introduced AI features to enhance user experience by enriching the product's functionalities with AI (automatic recategorization, price anomaly detection etc.), and in 2023, post the birth of ChatGPT, with the enrichment of product descriptions. With the arrival of GenAI, we saw the opportunity to rethink the engineering of our products by rebuilding them with AI at their core. This challenged us to transition from a Data Science project mode to an AI product approach with AI squads. In this talk, we will break down the steps that allowed us to move from three features in the product to a "One Click Transformer" in just six months:

The Discovery/Product Research phase, How to reach a Beta with a Generative AI feature in the hands of our customers, Iteration and Continuous improvement based on user problems, and The scaling phase with layering and fine-tuning to improve quality while controlling costs at scale. And the scale to an AI Product Approach to all the team