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AI Retailer Systems – Powering Data-Driven Stores with Visual AI

Visual AI system that automatically matches shoppers and purchased items

EN
Solution Type: Video Analytics
Targeted Industries: Retail
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Solution Description

AI Retailer Systems enable retailers to deliver the in-store shopping experience of the future with its Visual AI platform to maximize the productivity of staff time in the store, and the value of shoppers' trips.

There are three main applications:

  • Actionable shelf intelligence for ensuring the presentation of goods is as intended or ensuring high availability.
  • Preventing theft.
  • Facilitating ultra-convenient Grab & Go shopping with automated checkout.
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User Benefits

  • Grab & Go Shopping: automated checkout experience
  • Theft prevention for hot items
  • Track shelf presentation, engagement & on-shelf stock levels automatically & guide staff activities
  • In-store dashboard for analytics
  • Cost-effective and flexible for use

Key Features

  • Shelf intelligence: shelf presentation compliance, on-shelf article availability, trade marketing & engagement analytics
  • Theft prevention: hot items protection, VMS bookmarking/tagging, real-time video evidence
  • Automated checkout with automatic basket recognition
  • SaaS plugged to IP cameras for live video streams analytics

Solution Architecture

Hikvision Product Compatibility

Network Camera

Technical Details

Partner Product Name: Visual AI Platform

Partner Product Version: TBD

Hikvision Product Models and Firmware Versions: All IPC that support ONVIF

Integration Protocol: ONVIF

Availability

Regions: Europe

Languages: English

About AI Retailer Systems

Founded in 2019, AI Retailer Systems is an award-winning Spin-Off startup of the Swiss Federal Institute of Technology Zurich (ETH) with a vision for a world where shopping awaits You round the corner & feels seamless. Its mission is to enable retailers deliver the in-store shopping experience of the future with its Visual AI platform to maximize the productivity of staff time in the store and the value of shoppers’trip to the store.

Please contact us with any questions or if you are interested in this solution.
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