By AWS and Intel
Pomelo Fashion, a global fashion e-commerce service based in Southeast Asia, had been displaying items on its website in much the same way since it was founded in 2013. The setup had grown stale, not to mention that the algorithm for displaying the items relied on old data streams with limited inputs and spotty accuracy. So as a fast-growing, innovative startup, Pomelo Fashion set out to create personalized customer experiences that would improve the discoverability of new items and increase revenue and it needed a solution that would do so at scale.
Pomelo Fashion turned to Amazon Web Services (AWS) and used Amazon Personalize, which enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations. By using Amazon Personalize and the services of AWS Advanced Technology Partners Segment and Braze to build fresh sorting and categorizing features, Pomelo Fashion created a unique, per