(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 business. Since 2020, the Data Science team has introduced AI features to improve user experience by enriching product functionalities with AI (automatic recategorization, price anomaly detection, etc.), and in 2023, after the advent of ChatGPT, with product description enrichment.

With the arrival of GenAI, we saw the opportunity to rethink our product engineering by rebuilding them with AI at the core. This led us to shift from a Data Science project mode to an AI product approach with AI teams.

In this presentation, we will break down the steps that allowed us to go from three features in the product to a 'One Click Transformer' in just six months:

1) The product discovery/research phase,

2) How to achieve a beta version with a generative AI feature in the hands of our customers,

3) Iteration and continuous improvement based on user problems,

4) The scaling phase with layering and tuning to improve quality while controlling costs at scale. As well as extending to an AI product approach for the entire team.