Contemporary / Fashion
This dynamic 'online-first' direct-to-consumer (DTC) fashion brand, known for its best-in-industry sustainability outcomes, super fast supply chain, extensive product catalog, and data-driven merchandising model, sought an AI-based solution to improve their product discovery online. The goal was to support their business strategy by leveraging AI technology. Their specific requirements included a solution that could be swiftly and seamlessly implemented, offering both immediate impact and compatibility with their long-term AI strategy. Our Composable AI approach aimed to provide them with the flexibility to experiment and achieve tangible business results.
XGEN AI deployed a sophisticated AI model to personalize the highly trafficked Product Details Pages. Event tracking on the front end was live for about one week to gather the minimum required data to train this customer's AI model and to go live. The HRNN model we deployed was trained with the optimal goal of maximizing revenue. For the test XGEN AI created the recommendations carousels and rendered them seamlessly on the website. Go-Live was ready in 2 weeks and the performance A/B test ran in the US market. XRecommend was present on the Product Details Pages only, Statistical Significance was reached in 3 weeks.
During the test XRecommend delivered a lift of +4% on Revenue Per User for the test group exposed to XRecommend compared to the SFCC Einstein recommendations.
