Case Study: Pomelo Fashion achieves higher revenue and better shopper experiences with Amazon Web Services

Pomelo Fashion Enhances Shoppers’ Experience, Increases Revenue Using Amazon Personalize

Pomelo Fashion, an e-commerce retailer, wanted a better way to personalize product discovery and improve shopping experiences across its app, website, and kiosks. Working with Amazon Web Services and using Amazon Personalize alongside Segment, the company replaced an older algorithm and gained the ability to tailor recommendations at scale without building heavy in-house infrastructure.

Amazon Web Services helped Pomelo Fashion implement personalized ranking and recommendation models that used customer behavior and product metadata to sort items in real time. The results were strong: return on investment for its “Just for You” carousel rose 400%, dresses category click-through rates increased 10%, revenue grew 18.3%, and category-page gross revenue increased by up to 15%, with 60% of product views later driven by Amazon Personalize-powered recommendations.

Pomelo Fashion

Shane Leese

Business Intelligence Director