Adidas learns from its consumers' design creation to better anticipate future demand trends using machine learning
Summary:
With the use of machine learning, Adidas is able to reduce the typical 18 month timeframe of turning trends into commercially saleable shoes to just 24 hours. It does so by letting consumers design their own shoes in its prototype SpeedFactory, from which then the product ships immediately. As a result, by analysing the co-created designs with machine learning, the company gains insight into future trends and can efficiently anticipate future demand.
Problem:
In 2017, Adidas unveiled the Speedfactory, a manufacturing site for radically accelerated footwear production, utilising athlete data-driven design and open source co-creation. "However, along with real-time product creation capability came an increased need for anticipation of the materials necessary, as well as their location within the supply chain."
- Industry
- Retail
- Function
- Marketing
- Company Name
- Adidas
- Vendors
- Confidential
- AI Technologies
- Link to usecase
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