The Challenge
A mid-market e-commerce retailer with 2M monthly active users was struggling with flat revenue despite increasing traffic. Their existing recommendation engine used simple collaborative filtering that produced generic, often irrelevant product suggestions.
The Solution
We implemented a generative AI-powered recommendation system that combined purchase history, browsing behavior, seasonal trends, and real-time inventory data to produce highly contextual product pairings and personalized landing experiences.
- Dynamic Product Narratives: AI-generated product descriptions tailored to each user's browsing context.
- Predictive Bundling: Automated creation of product bundles based on complementary purchase patterns.
- Smart Logistics Routing: AI-optimized fulfillment paths that reduced delivery times by 20%.
The Results
Cross-sell conversion rates increased by 28%, contributing to an overall 15% revenue growth in the first quarter post-deployment. Customer satisfaction scores rose 12 points due to faster delivery and more relevant recommendations.