Standard Cognition offers an autonomous checkout solution that utilizes AI-enabled cameras to monitor shopper interactions and detect potential theft in real-time. This technology enhances inventory management and optimizes store layouts, ultimately increasing sales and reducing losses for retailers.
Funding
Funding not disclosed
+6Founders
Product
Problem
Brick-and-mortar retailers face challenges in optimizing store layouts, managing inventory effectively, preventing theft, and understanding shopper behavior, leading to lost revenue and operational inefficiencies. Traditional methods lack real-time insights into shopper interactions and product engagement.
Solution
Standard AI provides a platform that uses AI-enabled cameras to monitor shopper behavior, product interactions, and store dynamics in real-time. The system analyzes video feeds to provide predictive insights on merchandising changes, increase shelf availability through optimized inventory management, trigger real-time offers based on predicted customer paths, and detect potential theft with curated video evidence. Retailers gain access to a dashboard displaying key metrics such as conversion rates, sales performance, traffic patterns, and shopper impressions, enabling data-driven decisions to improve store operations and increase profitability. The AI technology prioritizes customer privacy by avoiding facial recognition.
Target Audience
The primary target audience includes brick-and-mortar retailers seeking to optimize store operations, improve inventory management, prevent theft, and gain deeper insights into shopper behavior.
Features
- AI-powered video analytics for real-time monitoring of shopper behavior and product interactions
- Predictive insights on merchandising effectiveness before implementation
- Optimized inventory management to increase shelf availability
- Real-time offer triggers based on predicted customer paths
- AI-driven theft detection with curated video evidence
- Customizable dashboard displaying conversion rates, sales performance, traffic patterns, and shopper impressions
- Privacy-focused technology that avoids facial recognition