SwedenRetail and e-commerce2023 – ongoingH&M
AI stock reallocation to match local demand
H&M expanded AI stock reallocation across almost all its teams
Problem
H&M needed to match available stock with demand across locations.
Approach
H&M used AI to redirect products toward areas with demand. It reported almost complete rollout across teams during 2023.
Results
No published figures
Takeaway
H&M attributed lower stock relative to sales to combined AI improvements; it did not isolate reallocation's contribution.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Optimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
[1]H&M GroupMar 2024
H&M reported broad deployment of stock reallocation. It gave no separate savings figure for this tool.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026
