VeroTerra utilizes computer vision and AI technology to capture real-time customer satisfaction feedback through intuitive hand signals while customers are still in-store. This approach addresses the low response rates of traditional email surveys by significantly shortening the feedback loop and enhancing customer engagement.
Funding
$1M 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
Traditional customer satisfaction surveys often suffer from low response rates and delayed feedback, making it difficult for businesses to address issues in real-time and improve the customer experience. Email surveys, in particular, can be easily ignored or forgotten, leading to incomplete or outdated data.
Solution
VeroTerra offers a real-time customer satisfaction feedback system that utilizes computer vision and AI to capture customer sentiment through intuitive hand signals while they are still in the store. This approach provides immediate insights into the customer experience, enabling businesses to promptly address concerns and improve service quality. By shortening the feedback loop and enhancing customer engagement, VeroTerra helps businesses turn customers into advocates and drive positive outcomes.
Target Audience
The primary target audience is brick and mortar retail businesses seeking to improve customer satisfaction and gather real-time feedback on the in-store experience.
Features
- Real-time customer satisfaction data capture using computer vision and AI
- Intuitive hand signal recognition for easy customer feedback
- In-store feedback collection for immediate insights