Shelf Monitoring & Inventory Tracking

The Problem

Out-of-stock products cost retailers billions annually. Manual shelf audits are time-consuming and infrequent. By the time a stockout is noticed, sales have already been lost. Planogram compliance is difficult to enforce across hundreds of stores.

How Computer Vision Solves It

vfrog enables you to build product detection models that monitor shelves using existing security cameras. Describe products and shelf positions, upload a few reference images, and deploy. The system detects empty shelves, misplaced products, and planogram violations in real-time, triggering restocking alerts.

The Challenge with Current Solutions

Product packaging changes seasonally. Store lighting varies across locations. Camera angles differ between store formats. High product density makes individual SKU identification difficult.

What vfrog Brings That's Different

Per-store model training on your actual shelf layouts and product packaging. Synthetic data for new product launches before real images are available. Fast model updates when packaging designs or planograms change.

Key Benefits

• Reduce out-of-stock incidents by up to 30%
• Automated planogram compliance checking
• Real-time restocking alerts to store associates
• Leverage existing camera infrastructure — no new hardware
• Scale across all store locations from a single dashboard