ShopperAI utilizes AI algorithms and computer vision to analyze video footage from in-store cameras, extracting over 300 data points on shopper interactions. This technology identifies blind spots in customer behavior, enabling retailers to enhance customer engagement and optimize store layouts for improved sales performance.
Funding
$6.3M 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
Retailers often lack comprehensive, real-time data on in-store shopper behavior, leading to inefficiencies in store layout, customer engagement strategies, and overall sales performance. Traditional methods of gathering this data are often labor-intensive, inaccurate, and provide limited insights into the nuances of customer interactions within the physical store environment.
Solution
ShopperAI leverages existing in-store security camera footage and advanced AI algorithms to provide retailers with actionable insights into shopper behavior. The platform analyzes video data to identify patterns in customer movement, product interaction, and engagement levels, extracting over 300 data points related to the in-store customer journey. By transforming raw video data into valuable intelligence, ShopperAI enables retailers to optimize store layouts, enhance customer engagement, and ultimately increase in-store ROI. The technology seamlessly integrates with existing camera infrastructure, providing a cost-effective and scalable solution for understanding and improving the in-store shopping experience.
Target Audience
The primary target audience includes retail chains and store managers seeking to improve customer experience, optimize store layouts, and increase sales through data-driven insights.
Features
- AI-powered video analytics that transforms security camera footage into shopper behavior insights
- Extraction of over 300 data points on shopper interactions, including movement patterns and product engagement
- Identification of in-store data blind spots to optimize store layouts and customer engagement strategies
- Real-time data visualization on a local and global scale
- Seamless integration with existing in-store camera systems
- Rapid data delivery, providing valuable insights within one week of integration