Pan-India FMCG Distributor Increased Shelf Compliance 28% with Mobile-Based Computer Vision

The Challenge

Field sales reps audited shelf compliance manually using a paper checklist, taking 8-12 minutes per store and producing inconsistent data. Planogram violations went undetected for weeks, costing the brand visibility against competitors at point-of-sale.

Our Solution

Iedeo built a mobile-first CV app where sales reps capture 3 photos per visit. A custom YOLO-v8 model detects SKUs, classifies shelf positions, and scores planogram compliance in under 4 seconds. Violations trigger automated workflows to the regional manager with photo evidence.

Architecture & Stack

• React Native field app with offline-first photo capture
• YOLOv8 fine-tuned on 47K labeled shelf images (200 SKU variants)
• On-device TFLite inference for sub-4-second scoring
• Cloud aggregation pipeline: AWS S3 + Lambda + EventBridge
• Regional manager dashboard built on Metabase
• CPG analytics export to client BI (Power BI)

Timeline

2 weeks discovery → 8 weeks build (incl. 4 weeks data labeling) → 6 weeks pilot in 2 states → 8 weeks rollout

“For 18 years our shelf data lagged reality by weeks. Now we know within hours when a SKU is out of place anywhere in 7 states.”