01Challenge
Continuously Monitoring Display Conditions Across Stores Is Difficult
Even when headquarters distributes planograms and promotional instructions, actual store displays may differ because of store size, available stock, and operational conditions.
As the number of locations increases, manually reviewing photographs and preparing implementation reports creates a significant workload.
Missing price labels and promotional materials may also remain unnoticed until the next inspection or store report.
02Solution
Analyze Store Images and Detect Differences from Approved Plans
AI can analyze photographs captured by employees or images from authorized cameras and recognize products, shelves, price labels, and promotional materials.
The results can be compared with approved planograms and campaign plans to identify misplaced products, empty shelf spaces, and missing promotional materials.
For example, the following workflow can be established:
- 1Store Image Capture
- 2AI-Based Product, Shelf, and Promotional Material Recognition
- 3Comparison with Approved Plans
- 4Discrepancy Identification
- 5Store Employee Notification
- 6Correction and Completion Recording
Employees review the sales floor and images when the system cannot verify a location or when human judgment is required.
03Use Cases
Potential Applications
- Checking product placement on shelves
- Comparing store displays with approved planograms
- Detecting empty shelves and insufficient displays
- Verifying price labels and product information
- Checking the placement of promotional materials
- Comparing implementation by store and sales area
- Notifying employees about locations requiring correction
- Managing images and results before and after display improvements
04Expected Benefits
Reduce Inspection Work and Create More Consistent Store Displays
Automating image review can reduce the reporting and verification workload for store employees and headquarters teams.
Identifying and sharing specific improvement areas sooner can increase store-display quality and the consistency of promotional execution.
Robo Lab uses AI video analytics, image recognition, and retail-system integration to support efficient store-display management.