In today’s content-rich digital world, delivering the right content to the right user at the right time is crucial. Building on our earlier work on Momspresso’s data pipeline, we’ve now implemented a powerful recommendation engine that personalizes content for millions of Momspresso users. Let’s dive into how we built this system.
In the rapidly evolving landscape of e-commerce, personalization has become a key differentiator for businesses seeking to enhance user experience and drive conversions. As India’s largest eyewear e-commerce player and a unicorn startup, Lenskart recognized the need to leverage cutting-edge data science techniques to provide tailored product recommendations to its vast customer base. This article delves into my experience as a data science consultant, working on an innovative recommendation system that transformed the way Lenskart’s users discover and interact with eyewear products.