Driving Retail Uplift with AI-Powered Shelf Analytics
Used CCTV and ML to optimize product visibility and placement in-store, boosting revenue, reducing manual audits, and enabling real-time shelf insights.
Built on Amazon SageMaker and Amazon Rekognition
+5%
increase in sales revenue from improved shelf visibility
-75%
reduction in manual audit effort
+20%
improvement in product allocation efficiency
Overview
About the Customer
A major home improvement retail chain in Southeast Asia, operating 140+ stores with over 120 active SKUs, was grappling with declining in-store sales. Poor product placement, lack of shelf analytics, and manual audit processes made it difficult for store managers to optimize visibility and replenishment. The client needed a scalable, data-driven approach to monitor product visibility and reduce operational inefficiencies.
The Challenge
Business Challenges
- Traditional shelf audits were time-consuming, inconsistent, and reactive
- Without digital tools to monitor shelf placement or stock gaps, high-value SKUs were often poorly positioned or out of stock—directly impacting sales
- The retailer lacked a scalable, real-time system to analyze shelf performance or alert store teams in time for corrective action
The Solution
Solution Approach
OBZ deployed an AI-powered shelf visibility engine that transformed existing CCTV footage into actionable insights using computer vision and ML. Hosted entirely within the client's AWS environment, the solution leveraged Amazon SageMaker and Rekognition for model development and product detection. Processed video frames were labeled via SageMaker Ground Truth, then run through custom models trained to detect product placements, gaps, and anomalies. Data was funneled into a real-time dashboard using Amazon QuickSight and DynamoDB, enabling store managers to proactively manage shelf health.
AWS Services Used
Built on AWS
Amazon SageMaker – For custom ML model development and training
Amazon Rekognition – Real-time object detection for shelf-level product analysis
Amazon SageMaker Ground Truth – For data labeling and image annotation
Amazon QuickSight – Real-time dashboarding for store-level insights
Amazon S3 – Secure storage for video frames and model outputs
Amazon CloudWatch – Monitoring system performance and alert thresholds
Outcome
Business Outcomes
- Boosted sales revenue by 5% by optimizing product visibility
- Reduced manual audit labor by 75%, freeing staff for higher-value tasks
- Increased shelf utilization by 20% in underperforming zones
- Achieved real-time stock-out detection, with alerts triggering every 2 hours
- Created a scalable, automated shelf audit process with continuous model improvements
About OneByZero
OneByZero is a frontier Systems Integrator specialising in AI Coworker design, build, and deployment for regulated enterprises across financial services, telecommunications, and retail. We operate across ASEAN, India, ANZ, and Japan, with a presence in the United States, combining domain expertise in regulated industries with deep AI engineering capability.
HQ Singapore · Tech HQ USA · Australia · India · Indonesia · Malaysia · Philippines · Thailand · Vietnam
