The company currently has active in-store panels across grocery and convenience stores, with full store coverage and custom installs, each of which includes a full network of up to 125 IoT data-capture devices.
VM’s patented OmniSensR technology combines the strengths of video, WiFi, and Beacon in an IoT architecture to generate Big Data on in-store behavior, powering a wide range of store applications.
Using proprietary trained algorithms, specific shopper data and actions including at-shelf behavior, storewide tracking, demographics, etc. are recorded and measured across the entire path-to-purchase. Aggregating this data over millions of shopping trips reveal storewide traffic patterns and engagement through heat maps.
VM integrates the shopper behavior data with other retail data including Point of Sale (POS) basket data, in-store and online surveys, and crucial contextual information like store layouts, planograms, and product mappings to provide a full 360-degree view into the shopper’s journey.
VM’s proprietary Prescriptive Analytics Engine applies advanced shopper science to provide standardized metrics and context to mined shopper data. This enables retailers and brands to access actionable insights, which in turn can shape strategies across CPG and retail functions.
With over 50 fundamental patents backing their analytics platform and solutions, VM has the largest patent portfolio for in‑store behavior analytics and related retail applications.
Sensing and Integration
Analytics and Applications