Product Recommendations
Drive an Increase in Sales by Displaying Relevant Product Recommendations Unique to the Customer.
Our team supplied the client’s ecommerce team with an Artificial
Intelligence powered Product Recommendation Engine utilizing customer sales data, a tensor flow neural network, and microservices. The products and their images which our team recommended were featured on the retailer’s ecommerce site, right below the add to cart button. The recommendations were A/B tested by displaying the content to a randomized 50% of the site traffic and compared to the 50% of traffic which did not receive the content.
After A/B testing, it was found that our Product Recommendation Engine led to a $40,000,000 lift in incremental annual revenue for the client.
