The startup manufactures an audience analysis system that utilizes artificial intelligence and machine learning to capture accurate demographic data in high-footfall areas. By integrating with third-party data sources, the system provides real-time customer insights that enable retailers to make data-driven decisions to enhance growth and increase average spending.
Funding
$5.3M 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
Brick and mortar retailers often lack the detailed customer insights that online stores possess, making it difficult to optimize store layouts, staffing, and product placement for maximum revenue. Understanding shopper demographics, behavior, and product engagement in real-time is challenging with traditional methods.
Solution
VisionR provides an in-store audience analysis system that uses smart cameras and AI to capture shopper demographics and behavior as they navigate physical stores. The system analyzes shopper traffic, profiles, and product engagement, and integrates with till data to provide a comprehensive view of in-store performance. Retailers gain real-time insights into shopper behavior, allowing them to optimize store operations, improve product placement, and personalize the shopping experience. The platform also offers benchmarking capabilities, enabling retailers to compare store performance against historical data and other stores in the area.
Target Audience
The primary target audience includes brick and mortar retailers seeking to improve in-store performance, optimize operations, and enhance the shopping experience through data-driven insights.
Features
- Real-time shopper traffic measurement for accurate rostering and inventory management
- Shopper profiling to understand demographics and identify high-value customers
- Product engagement tracking to identify popular products and optimize placement
- Till integration for a unified view of sales data and shopper behavior
- Benchmarking to compare store performance against historical data and other stores
- Opportunity spend analysis to identify underperforming areas and potential revenue gains
- Suggested actions to optimize business performance based on real-time data
- Unified commerce view linking online marketing activities to in-store shopper spend
- Integration with ANPR and loyalty card data for enhanced customer insights