ThailandRetail and e-commerce2019 – ongoing

Pomelo Fashion

Personalized product recommendations and category rankings

Pomelo Fashion reported a 400% rise in recommendation-carousel ROI after tuning Amazon Personalize

WorkingVendor case studyVendor ↗

Problem

Pomelo's category rankings gave shoppers in each country the same product order. Its existing data infrastructure limited personalization.

Approach

Pomelo connected Segment customer-event data to Amazon Personalize. It tuned the Just for You carousel, then tested personalized ranking in dresses before extending it to other categories.

Results

400%increase in Just for You carousel ROI within a month after tuning, per AWSVendor case study[1]

18.3%revenue increase from personalized ranking in the dresses category, per AWSVendor case study[1]

60%share of product views coming from Amazon Personalize recommendations as of November 2020, per AWSVendor case study[1]

Takeaway

Pomelo expanded category ranking after testing a single category. Customer-event collection was part of the implementation work.

Sources

Pomelo Fashion Enhances Shoppers’ Experience, Increases Revenue Using Amazon Personalize
Amazon Web Services2021Vendor publication

Source summaries

[1]Amazon Web Services2021

AWS described Pomelo's rollout of machine-learning recommendations. It reported carousel ROI growth of 400%, an 18.3% revenue increase in dresses and recommendations accounting for 60% of product views.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026