How to Implement Generative AI for E-commerce Product Recommendations

Last quarter, our product discovery engine was underperforming. We had all the right data—browsing behavior, purchase history, SKU attributes—but our rule-based recommendation system couldn't keep up with rapidly shifting consumer preferences. Cart abandonment rates were climbing, and our CLV metrics were stagnating.

That's when we implemented Generative AI for E-commerce recommendations. Within 60 days, we saw conversion rates increase by 34% and average order value climb 22%. Here's the step-by-step process we followed—and the lessons we learned along the way.

Step 1: Audit Your Current Recommendation Performance

Before implementing any new technology, establish your baseline metrics.…