SingaporeRetail and e-commerce2024 – ongoingSHEIN
Machine-learning demand prediction and supplier feedback
SHEIN said 5,400 suppliers had access to AI demand signals to adjust production
Problem
SHEIN needed to match production to rapidly changing customer preferences while limiting unsold inventory.
Approach
SHEIN used proprietary machine-learning applications to predict demand from customer preferences. Its strategy executive said suppliers received updates through an AI platform and changed production in response.
Results
Takeaway
Supplier access established the platform's reach. SHEIN's claims about lower waste did not quantify the AI system's separate contribution.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Grist reported SHEIN's use of machine learning and quoted its strategy executive on supplier access. It examined the company's environmental claims without establishing a causal estimate of AI's effect on emissions.
Full details are in the original sources.
