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VeroTerra

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.

Traction 4/10
Westminster, Moldova · HQ
Founded 20232100+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Retail Technology
  • Software Only
Updated 7 months ago

Funding

Raised to date

$1MRaised 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.

across 1 round

$1M · Seed

Announced Sep 2024

Disclosed cumulative: $1M

Founders

2 founders

Ray K. Ragan

Washington DC, United States

Co-Founder & CEO

Profile summary: Master of Administration

Christine Loredo

Menlo Park, United States

Co-Founder

Profile summary: MIM in International Business

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 Email surveys, in particular, can be easily ignored or forgotten, leading to incomplete or outdated data.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
This profile is AI-generated and may contain inaccuracies.