Data Analysis
Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.
H&M uses machine learning models to scan social media platforms, fashion blogs, search trends, and internal sales data to identify emerging fashion trends in real time, feeding those insights into product design and buying decisions.
Details
H&M's trend analysis AI uses natural language processing and machine learning to process large volumes of unstructured data from sources including Instagram, TikTok, fashion blogs, Google Trends, and point-of-sale data. The system identifies emerging colors, styles, and materials and surfaces these patterns to design and buying teams. H&M employs more than 200 data scientists, analysts, and engineers to develop and run these analytics capabilities.
Products affected
H&M product designH&M buying and merchandising
Sources & Evidence
News Article
Cite this record
Trace Foundation. (2026). H&M Group: H&M uses machine learning models to scan social media platforms, fashion blogs, search trends, and internal sales data to identify emerging fashion trends in real time, feeding those insights into product design and buying decisions (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/3e63342a-97e4-4f09-a331-c8ae1cd549a9. Accessed October 5, 2026.
- Stable link
- https://www.aitrace.org/r/practice/3e63342a-97e4-4f09-a331-c8ae1cd549a9
- Data as of
- May 11, 2026
- Last verified
- Not recorded
Other practices by H&M Group
Creative GenH&M deployed AI-generated digital twins of 30 real human models, in partnership with AI provider Uncut, to produce product imagery and marketing content for social media and advertising campaigns. The first set of images was published in July 2025, with all AI-generated content watermarked and labeled for transparency.RecommendationH&M uses AI algorithms to recommend products to shoppers based on their purchase history, browsing behavior, and demographic data, both on the H&M website and app and in physical stores using RFID technology. H&M hosted a public Kaggle competition in 2022 to improve its recommendation engine.Data AnalysisH&M uses AI-powered demand forecasting systems to predict how much of each product will sell in each store, helping the company decide what to produce and where to stock it. H&M created its AI department in 2018 and has since built this capability on a Google Cloud data platform announced in 2022.
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