Overview

Standard AI offers a video‑analysis platform that turns existing retail cameras into actionable store‑level insights. The system is known as VISION and is designed to run on the edge so the video stays local while the AI extracts privacy‑safe data that is sent to a cloud dashboard. It aims to help retailers gauge how media, merchandising, signage, and staffing influence shopper behavior and conversion.

You begin by building a digital twin of the space and mapping the camera layout. Then you define the zones or “areas of interest” that matter most, such as media placements, merchandising aisles, or service counters. VISION's edge‑side processing extracts metrics like verified shopper counts, awareness, engagement, and conversion for each zone. These results appear in customizable dashboards or can be exported directly to other analytics systems. The platform specifically avoids facial recognition, so the data remains anonymized and privacy‑conscious. The calibration period is short and after it the system measures performance, compares outcomes, and lets you run A/B tests on layouts or promotions.

Typical inputs are standard CCTV feeds; outputs include heat maps of movement, dwell‑time charts, and verified foot‑fall counts per zone. These outputs help retailers understand where shoppers spend time, which displays drive engagement, and how staffing affects service interactions. For example, a retailer can see “time to first contact” with staff, or “total time with customer,” and link those metrics to sales lift. The platform also filters out pass‑through traffic, providing true conversion data rather than raw footfall.

The tool suits mid‑ to large‑scale retailers who already own a camera network and want a straightforward way to add analytics without deploying new hardware. It may not be the best fit for small stores without sufficient camera coverage or for businesses that require real‑time person‑tracking or facial recognition. The listing does not disclose pricing, free‑trial limits, or specific integrations with other retail software; those details would need to be requested directly.

Key features

Edge deployment that keeps video local, reduces bandwidth, and simplifies IT
Works with existing camera infrastructure, no new hardware needed
Custom zone definition to target specific store areas
Privacy‑safe data extraction with no facial recognition
Dashboards showing verified shopper counts, engagement, dwell time, and conversion
Capability to conduct A/B testing on layouts or promotions