AI Trace
Recommendation SystemVerified

Reviewed and published by trentmaziarz, April 21, 2026. Discovered and drafted by our automated research pipeline.

ASOS uses machine learning to recommend products to shoppers by analyzing their browsing history, past purchases, and the buying patterns of similar customers. The system delivers billions of product recommendations per day across the ASOS website and app.

Details

ASOS's recommendation engine uses collaborative filtering — a technique that identifies patterns in how customers interact with products — to suggest items likely to appeal to individual shoppers. It also uses deep neural networks to classify products by attributes such as color, style, and occasion, enabling recommendations that go beyond similar items to suggest complementary ones that form complete outfits. The system is built on Microsoft Azure Machine Learning and processes data from the platform's full product catalog continuously.

Products affected

ASOS websiteASOS app

Sources & Evidence

Cite this record

Trace Foundation. (2026). ASOS: ASOS uses machine learning to recommend products to shoppers by analyzing their browsing history, past purchases, and the buying patterns of similar customers. The system delivers billions of product recommendations per day across the ASOS website and app (data as of 2026-04-21) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/3f6b37b2-7fab-4a39-9e89-50bb305e9178. Accessed October 5, 2026.

Stable link
https://www.aitrace.org/r/practice/3f6b37b2-7fab-4a39-9e89-50bb305e9178
Data as of
April 21, 2026
Last verified
April 22, 2026

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