SuperAPI AI Directory

Standard ai

Standard AI turns security camera footage into actionable shopper insights for retailers and brands.

Open website

About this tool

Standard AI provides an AI computer vision solution that turns existing security cameras into retail insights, with its core product being VISION.

Purpose: VISION is designed to help retailers and brands understand the shopper behavior that actually happens in stores, going beyond the limitations of traditional footfall counting by analyzing what shoppers see, how they move, and how they interact with staff, in order to optimize operations, merchandising, and media effectiveness evaluation.

Key capabilities:

  • Validate exposure: measure real shopper behavior rather than simulated metrics, track attention, engagement, and conversion, prove media impact, and optimize promotional effectiveness.
  • Understand movement and interaction: observe customer movement paths, the timing of staff interactions, and how service moments affect conversion, used to optimize staffing, layout, and experience.
  • Spatial performance analysis: identify which areas succeed, which underperform, and why, supporting layout, experience, and investment decisions.
  • Privacy and security: the technology does not use facial recognition, video is processed at the edge, and only privacy-safe data is sent to the cloud.

How to use it:

  1. Leverage existing resources: Standard AI creates a digital twin of the space, evaluates existing camera coverage, and configures VISION to seamlessly fit the current setup.
  2. Activate edge intelligence: VISION is deployed at the edge, has low computing requirements, keeps video local, and after algorithms convert it into privacy-safe data, sends it securely to the cloud, reducing bandwidth and simplifying IT integration.
  3. Customize what is measured: jointly define the most important areas and "areas of interest," such as media locations, product zones, service areas, or key spaces.
  4. Take action and grow: obtain customized dashboards or direct data delivery, and after a short calibration period, measure performance, compare results, and make decisions.

Applicable scenarios: suitable for physical retail environments, such as stores and brand stores, helping retailers and brands evaluate the impact of media, promotions, signage, and fixtures on shopper engagement and sales lift, and optimize employee scheduling, layout, and space utilization.

Limitations: the materials do not provide detailed information such as specific pricing, deployment time, a hardware compatibility list, or performance metrics. VISION depends on existing camera coverage and explicitly does not use facial recognition in order to protect privacy.