Simbe’s Next-Generation Computer Vision Technology to Transform Retail Execution

Simbe launched Simbe Vision, an AI-powered computer vision (CV) technology designed to empower retailers to implement AI-driven actions that optimize store operations.

"The most successful retailers are leveraging real-time, AI-powered insights to drive execution excellence," says Brad Bogolea, co-founder and CEO of Simbe. "What sets industry leaders apart is how they're combining cutting-edge computer vision with Simbe's Store Intelligence platform to identify the next best action for their teams. Together, we are enabling faster, smarter decision-making exactly when it matters most, creating a competitive advantage in today's challenging retail environment."

Key takeaways:

·        Low-stock on shelf detection combines volumetric detections and advanced depth sensing to identify products running low before they become out-of-stock.

·        Comprehensive shelf intelligence detects product spreads, plugs, misplaced items, and missing price tags using advanced AI technology.

·        Breakthrough inventory monitoring adapts to dynamic retail environments by combining mobile and fixed sensors.

·        Product recognition and similarity detection employs AI-powered visual search for precise product identification across shelves.

·        Shelf-to-stock comparison cross-checks on-shelf inventory with backroom stock data to uncover hidden "plugs" that appear fully stocked at a glance, preventing phantom out-of-stocks and improving replenishment accuracy.

·        Automated shelf tag verification utilizes barcode scanning, optical character recognition (OCR), and proprietary machine learning to detect mismatches between price tags and products.

·        Simbe Vision delivers continuous, full-store visibility with 98.7% SKU-level identification accuracy and over 99.3% shelf condition recall. Overall shelf condition precision exceeds 99%.