United StatesRetail and e-commerce2023 – ongoingThe Home Depot
Sidekick task prioritization and shelf replenishment
The Home Depot installed its Sidekick replenishment app in more than 600 stores
Problem
Store associates needed to identify urgent replenishment work and locate stock held above the sales floor. Products unavailable on shelves could prevent customers from finding what they wanted.
Approach
The Home Depot built Sidekick for associates' hdPhone devices. Machine learning prioritized tasks, while machine vision identified stock gaps and helped locate products. The app directed work to particular associates and gave managers a view of outstanding tasks.
Results
Takeaway
Sidekick connected stock detection with assigned work on associates' existing devices. The disclosed store count measured deployment, without quantifying labor savings or sales gains.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Production and qualityLogistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLComputer vision
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
The Home Depot described its internally developed replenishment app and its machine-learning and vision functions. It reported installation in more than 600 stores, with wider deployment planned.
Full details are in the original sources.