This startup develops automated checkout technology that utilizes computer vision and artificial intelligence to create cashier-less retail environments. By transforming traditional points-of-sale into autonomous systems, the technology enhances theft prevention, marketing, and operational analytics, enabling retailers to offer a seamless shopping experience around the clock.
Funding
$220K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Retailers face significant losses due to theft and shrinkage, requiring extensive monitoring and investigation processes. Traditional methods often involve time-consuming manual reviews of security footage and can be ineffective in preventing losses at various points, including shelves, exits, and checkout areas.
Solution
AI Retailer Systems offers a real-time theft prevention solution based on computer vision and AI, designed to minimize shrinkage without requiring major changes to existing retail systems. The system automates monitoring by analyzing video feeds to detect and prevent theft at shelves, exits, and checkout points. It assigns virtual RFID tags to products, tracks customer journeys anonymously, and monitors shelf interactions to ensure accurate virtual cart updates. The technology provides real-time alerts to security teams and integrates with cashier systems to address unscanned items at checkout, enhancing overall security and operational efficiency.
Target Audience
The primary target audience includes retailers looking to reduce theft and shrinkage, improve operational efficiency, and enhance the customer shopping experience in their stores.
Features
- Real-time theft detection using computer vision to monitor shelves, exits, and checkout areas
- Virtual RFID tags for products to prevent theft at any exit point
- Anonymized customer journey tracking from entrance to checkout using unique "Basket IDs"
- Shelf interaction and hand position tracking to automatically update virtual carts
- Checkout alerts triggered if items are not scanned, with silent notifications to security or integration with cashier systems
- In-store analytics to measure the effectiveness of layout and item placements on a daily, weekly, monthly, or seasonal basis