MACHINE LEARNING

AI-Powered Personalized Product Recommendations for eCommerce Growth

Delivering the right product at the right moment can significantly improve the customer experience. We built an AI-powered recommendation engine that delivers personalized product suggestions in real time, increasing engagement, conversion rates, and revenue.

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Impact

+$40M

in Revenue

Randomized A/B Tested Across 50% of Site Traffic

Improved Conversion and Cart Size

Mudrick & Associates developed an AI-powered product recommendation engine for a $4.5B retailer's eCommerce platform to deliver personalized shopping experiences at scale. Using historical sales data, a TensorFlow-based neural network, and a microservices architecture, the platform generated real-time product recommendations tailored to each customer's interests and purchasing behavior. Recommendations were strategically displayed beneath the "Add to Cart" button, encouraging additional product discovery at a critical point in the buying journey.

To measure business impact, the recommendation engine was deployed through a randomized A/B test, with personalized recommendations shown to 50% of site visitors while the remaining users experienced the standard shopping experience. This controlled approach allowed the client to accurately measure improvements in conversion rates, cart size, and incremental revenue, providing clear evidence of the value generated by AI-driven personalization.

The Result: Personalized product recommendations generated more than $40 million in incremental revenue while increasing conversion rates and average cart size. The solution demonstrated how AI-driven personalization can improve the customer experience while delivering measurable business value.