Home / Case Studies / Planogram Recognition Case Study: AI Shelf Compliance

AI-Powered Planogram Recognition

for a Latin American Retail Chain

Industry: Retail / FMCG
Location: LatAm
Timeline: 2022 - ongoing
Platform: AI / Computer Vision

Client Background

The client is a large retail chain operating across Latin America, with a footprint of 3,500+ store locations. Due to a non-disclosure agreement, the client's name is not publicly shared.

One Logic Soft has partnered with the client since 2022 to bring AI-driven automation to one of retail's most persistent operational problems: verifying that products on the shelf actually match the approved planogram.

Who was the client?

  1. Retail chain operating 3,500+ stores across Latin America
  2. Client identity protected under NDA
  3. Partnership running since 2022, ongoing

Challenge

With thousands of stores to manage, the client had no reliable way to confirm that shelves matched the approved plan.

Audit 3,500+ stores without a scalable verification method

Replace manual shelf checks that were slow and inconsistent

Detect misplaced and missing products before sales are affected

Give category teams visibility beyond small sample audits

Solution & Approach

We built an AI-powered system that analyzes photos of in-store shelves and automatically checks whether the actual product layout matches the client's approved planogram, turning a manual, store-by-store audit into an automated, repeatable process.

Platform:

AI / Computer Vision system for retail shelf recognition

Engagement Model:

Time & Material

Delivery Approach:

Agile, with a dedicated cross-functional team

Technologies:

Computer Vision Python image processing pipeline cloud infrastructure planogram matching algorithm reporting dashboard

Key Elements of the Solution

  1. Photo capture store staff photograph shelves through a mobile app or upload flow
  2. Product detection a computer vision model identifies products and their position on the shelf
  3. Planogram matching automated comparison between the detected layout and the approved plan
  4. Compliance scoring each shelf is flagged for missing, misplaced or incorrectly faced products
  5. Reporting dashboard store and region level visibility for category and operations teams

Execution

One Logic Soft designed, trained and deployed the recognition system, then scaled it across the client's national store network.

  1. Collected and labeled a shelf-image dataset covering the client's core product categories

  2. Trained and validated a custom computer vision model for on-shelf product detection

  3. Built the matching logic that compares detected layouts against approved planograms

  4. Integrated photo capture into the daily workflow already used by in-store staff

  5. Rolled out across 3,500+ locations, retraining the model as the assortment changed

  6. Continuously optimized the model to maintain accuracy as products and packaging evolved

Results & Business Impact

Operational Impact

  • Shelf audits automated across all 3,500+ store locations
  • Audit time cut from around 45 minutes to under 5
  • Coverage expanded from sample checks to the full network

Partner Value

  • Model retrained continuously as assortment and packaging evolve

Business Impact

  • Planogram compliance improved from roughly 70% to 90%
  • Manual audit costs reduced by around 40%

Detection Accuracy

  • 95% product recognition accuracy on shelf photos
  • Compliance results returned in under 30 seconds
  • Over 1 million photos processed since 2022

Client Testimonial

This system gave us visibility into shelf compliance we never had before, across thousands of stores, not just a sample. It's changed how our teams catch issues before they affect the business.

Need Shelf-Compliance Automation Like This?

Whether you run a hundred stores or several thousand, we can help you turn shelf photos into reliable compliance data. Tell us about your network and we will map out an approach.

Book a free 30-min call

Future Improvements

  1. Expanding recognition to additional product categories
  2. Real-time alerts for compliance issues as photos are uploaded
  3. Deeper integration with the client's inventory and ERP systems
  4. Predictive analytics on compliance trends across regions

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Kristina  (HR-Manager)