Pensa utilizes video-based computer vision and AI to provide real-time, accurate insights into retail shelf conditions, enabling brands and retailers to optimize inventory management and enhance product visibility. This technology addresses stockouts and shelf share issues, ultimately driving revenue growth and improving the omnichannel customer experience.
Funding
$41.9M 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.
AVFounders
Product
Problem
CPG brands and retailers often struggle with inaccurate or delayed insights into retail shelf conditions, leading to stockouts, suboptimal shelf share, and poor product visibility. The gap between point-of-sale data and actual shelf inventory makes it difficult to optimize inventory management and ensure planogram compliance. Traditional methods of shelf monitoring are often labor-intensive, expensive, and lack the scalability needed for comprehensive, real-time visibility across all channels.
Solution
Pensa Systems provides a vision-based AI platform that delivers real-time, granular data on retail shelf conditions. By digitizing the physical shelf, Pensa's technology automatically recognizes products, reconstructs shelf layouts, and identifies discrepancies, providing a total category view across all channels and SKUs. The platform's syndicated data signal closes the gap between point-of-sale and retail inventory data, enabling brands and retailers to minimize stockouts, increase shelf share, and optimize product planning. Pensa's solution offers actionable insights to improve omnichannel customer experience and drive revenue growth by leveraging shelf visibility as a competitive advantage.
Target Audience
Pensa Systems targets CPG brands and retailers seeking to improve portfolio performance, increase share of shelf, optimize omnichannel activation, improve in-stock levels, and enhance the overall customer experience.
Features
- Video-based computer vision for accurate, real-time shelf monitoring
- AI-powered product recognition and shelf layout reconstruction
- Automated identification of stockouts, planogram violations, and other shelf issues
- Granular data tailored to specific needs, including product placement, pricing, and promotions
- Scalable solution that can monitor millions of square feet of shelving
- Integration with existing retail systems for seamless data sharing
- Web-based dashboard for visualizing shelf conditions and tracking key metrics
- Alerts and notifications for immediate action on critical shelf issues