Smart Retail Audits

Photos to planogram compliance in minutes. Mobile audits with computer vision to detect product presence, facing, price tags, and shelf gaps for instant store/SKU reports.

10 weeks delivery

FMCG & Grocery Retail

+11% on-shelf availability

The Challenge

An FMCG company operating across grocery retail needed better visibility into their shelf presence. Manual audits were time-consuming, error-prone, and provided low data fidelity. Store managers couldn't react quickly to stockouts or planogram violations.

They needed a mobile solution that could turn photos into actionable compliance data, detect issues in real-time, and provide SKU-level insights to improve on-shelf availability and drive sales.

Manual

Audit process

Low

Data fidelity

Slow

Corrective actions

Our Solution

We developed a mobile audit app with computer vision that detects products, reads price tags, counts facings, and validates against planograms in real-time. Field teams snap photos, AI does the analysis, and compliance reports are generated instantly.

Technology Stack

Computer Vision & AI

YOLO/SAM for object detection
EasyOCR for price tag reading
PyTorch for model training
OpenAI Vision for verification
FastAPI for inference API

Mobile & Backend

React Native for mobile app
PostgreSQL for planogram data
S3/R2 for image storage
Metabase for reporting
Redis for offline sync

Product Detection

Computer vision models detect and classify products on shelves, count facings, and identify missing SKUs or gaps.

Planogram Compliance

Automatic validation against defined planograms to detect placement, assortment, and layout violations in real-time.

Price Tag OCR

OCR reads price tags and validates against expected pricing, detecting discrepancies and compliance issues.

Mobile App

Offline-first React Native app for field teams with instant photo capture, on-device processing, and sync when online.

The Results

The smart audit solution transformed retail operations, providing real-time visibility and actionable insights that drove measurable improvements in on-shelf availability and sales.

+11%

On-Shelf Availability

Across audited stores

92%

Detection Accuracy

Product & price recognition

Real-Time

Compliance Reports

Instant actionability

"AUTNEX's vision solution has revolutionized our retail audits. We now have real-time visibility into shelf conditions across all stores. The 11% OSA improvement alone has paid for the investment many times over. Our field teams love how easy it is to use."

Carlos Mendez

VP of Retail Operations, FMCG Company

The Process

W1-3

Data Collection & Model Training

Collected shelf images, annotated training data, and trained custom YOLO models for product detection and OCR for price tags.

Data Collection Annotation Model Training

W4-7

Mobile App Development

Built React Native app with camera integration, on-device inference, planogram validation, and offline sync capabilities.

Mobile App Vision Pipeline Offline Mode

W8-10

Pilot & Rollout

Pilot in 5 stores, refined model accuracy, trained field teams, and rolled out to all retail locations with support infrastructure.

Pilot Testing Model Tuning Full Rollout