TREN

Retail · Scope and volume to be defined during discovery

AI System for Visual Planogram Compliance Review

We design an AI system that reviews shelf images, planograms and store section data together with source and time information. The system prepares a non-compliance review list but does not implement technical, security or access decisions. If a promotional display or temporary placement is present, the system does not finalise the result; the visual merchandising manager assesses the evidence.

Representative visual layout ops panel with a work queue, checks and an audit trail: planogram compliance review queue — **Planogram compliance review queue** Representative interface — contains no real data. Shelf and product IDs are illustrative. The panel does not alter layouts or assign store staff.

The problem

In day-to-day operations, shelf images, planograms and store section data 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 the non-compliance review list is prepared, route the case to the wrong team and leave the basis for the technical decision unclear.

Incomplete automation may overlook a promotional display or temporary placement, while incorrect automation risks treating a correct placement as an error.

What we set out to improve

Time taken for the draft non-compliance review list to become ready for specialist review
Referral of records with a promotional display or temporary placement to the correct specialist queue
Record of suggestions corrected or rejected by the visual merchandising manager

How the system works

01 Retrieve shelf image, planogram and store section data from authorised sources
02 Verify the source, timestamp and record identifier
03 Add the context of the relevant asset, user, store, vehicle or content
04 Prepare the draft non-compliance review list
05 Compare the draft with technical rules and authority boundaries
06 Exception check: a promotional display or temporary placement is present
07 Have the visual merchandising manager approve, correct or reject the suggestion
08 Write the input, suggestion, change and final decision to the audit trail

Methods we used

Source- and time-referenced data extraction for shelf images, planograms and store section data
Structured output that constrains the non-compliance review list fields using technical rules
An exception gate that removes promotional displays or temporary placements from machine-led processing
An authorised queue showing the evidence and suggestion together for the visual merchandising manager
Duplicate-processing controls and a rollback record to mitigate the risk of treating a correct placement as an error

Where people stay involved

The visual merchandising manager makes the final decision. If a promotional display or temporary placement is present, the workflow stops and the evidence is referred to the specialist queue. The system does not make blocking, access-change, technical intervention or physical action decisions by itself.

Data and security

Only fields from shelf images, planograms and store section data 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

A good fit

Teams performing repeat reviews in retail
Companies with defined source and approval responsibilities
Organisations that want exceptions to remain under human oversight

Not a good fit

When source data are not current
When there is no decision owner or rollback process
When the existing method can handle the low volume

Frequently asked questions

What data are used?

Shelf images, planograms and store section data are used. The exact connections, fields and retention limits are defined during the access review.

How are exceptions handled?

If a promotional display or temporary placement is present, the machine-led workflow stops. The record is referred to the visual merchandising manager's queue with its source evidence.

Does the system take action by itself?

No. Because of the risk of treating a correct placement as an error, final technical, security and access decisions remain with a person; the suggestion and decision are recorded separately.

Project led by:DijitalPi

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