Shelf Image Product Gap Review System

The problem

In day-to-day operations, shelf photographs, store data and product placement records arrive through different systems and event logs, preventing the team from viewing the case on a single timeline.

This can break the link to the source while gap and incorrect placement candidates are prepared, route the case to the wrong team and leave the basis for the technical decision unclear.

Incomplete automation may overlook an obscured label or incomplete shelf image, while incorrect automation risks creating the wrong replenishment task.

What we set out to improve

• Time taken for the draft gap and incorrect placement candidates to become ready for specialist review
• Referral of records with an obscured label or incomplete shelf image to the correct specialist queue
• Record of suggestions corrected or rejected by the store operations manager

How the system works

1. 01 Retrieve shelf photograph, store and product placement record data from authorised sources
2. 02 Verify the source, timestamp and record identifier
3. 03 Add the context of the relevant asset, user, store, vehicle or content
4. 04 Prepare draft gap and incorrect placement candidates
5. 05 Compare the draft with technical rules and authority boundaries
6. 06 Exception check: the label is obscured or the shelf image is incomplete
7. 07 Have the store operations manager approve, correct or reject the suggestion
8. 08 Write the input, suggestion, change and final decision to the audit trail

Methods we used

• Source- and time-referenced data extraction for shelf photographs, store data and product placement records
• Structured output that constrains gap and incorrect placement candidate fields using technical rules
• An exception gate that removes obscured labels or incomplete shelf images from machine-led processing
• An authorised queue showing the evidence and suggestion together for the store operations manager
• Duplicate-processing controls and a rollback record to mitigate the risk of creating the wrong replenishment task

Where people stay involved

Data and security

Only fields from the shelf photograph, store data and product placement record that are required for the task are processed. Source-system permissions are retained, and sensitive personal, technical and security data are minimised before being sent to the model. Every retrieval, suggestion, human change and target-system action is written to the audit trail.

Who this suits

Frequently asked questions