AI-Powered Smart Shelf Ecosystem
Overview
A revolutionary retail infrastructure solution that transforms traditional store shelves into intelligent, data-driven platforms using IoT sensors, computer vision, and AI algorithms to optimize inventory management, enhance customer experience, and drive sales performance in real-time.
Problem
- Traditional retail shelves lack real-time inventory visibility, leading to stockouts and overstock situations.
- Manual shelf monitoring is labour-intensive and prone to errors.
- Static pricing fails to adapt to demand fluctuations and market conditions.
- Limited customer engagement and personalisation at the shelf level.
- Delayed response to planogram compliance issues.
- Inefficient workforce allocation for shelf maintenance.
Solution
- Continuous inventory monitoring.
- Real-time stock level tracking.
- Automatic reorder triggers.
- Product placement verification.
- Demographics tracking.
- Interactive product information.
Key Impact
Reduce stockouts by 40-50% while decreasing inventory holding costs by 15-20%
Increase sales conversion rate through personalisation
Improve labour efficiency by through automated monitoring and smart task allocation
Boost customer engagement metrics through interactive displays
Ideal Customer Profile (ICP)
Size
Large retail chains with 50+ stores
Annual Revenue
More than $100M
Budget Owner
Chief Technology Officer/ VP of Store Operations
Volume
More than 1000 SKUs per store
Technology Maturity
Medium to High
Key Decision Makers
- CTO/CIO
- COO
- VP of Retail Operations
- Head of Digital Innovation
- Store Operations Director
