VISION is Standard AI's computer vision analytics platform built for physical retail environments. Using a store's existing camera infrastructure, it transforms raw video footage into privacy-safe, actionable intelligence about shopper behavior, product performance, and store operations — all without facial recognition or transmission of raw video outside the store.
The platform creates a digital twin of each retail space and deploys AI models at the edge, keeping video local while securely sending anonymized metadata to the cloud. Retailers define specific zones and areas of interest — media placements, merchandising areas, service zones — and receive trusted dashboards or direct data feeds tailored to their workflows.
Standard AI measures verified impressions, shopper engagement, traffic patterns, conversion by zone, and service metrics such as time to first contact and total time with customer. These capabilities allow retailers and CPG brands to assess promotion effectiveness, test layout configurations, optimize staffing, and refine in-store media strategy using objective data rather than modeled estimates.
The platform runs inside Docker containers orchestrated via Kubernetes and integrates with existing camera infrastructure, supporting on-premises deployment. Enterprise-grade security is maintained through encrypted IPSec tunnels and fully anonymized metadata. Standard AI partners with Google Cloud, NVIDIA, and Axis Communications to power its technology stack.
- Measure verified shopper impressions and engagement across in-store media placements to prove media impact
- Analyze aisle traffic and shopper flow patterns to identify store layout optimization opportunities
- Track promotion performance by comparing pre- and post-campaign shopper engagement and conversion data
- Monitor service metrics including time to first contact and total employee-to-customer interaction time
- Segment true buyers from pass-through traffic to calculate accurate zone-level conversion rates
- A/B test fixture and display configurations to identify which layouts encourage shopper browsing
- Evaluate CPG product placement effectiveness and shelf engagement across retail locations in real time
- Optimize labor staffing decisions by connecting service quality data directly to conversion outcomes
- Assess zone performance across store formats to guide capital investment and space planning decisions
- Support retail media network strategies with verified impression counts and shopper behavior data
- Identify underperforming store sections and surface actionable insights for merchandising teams

