Wayvee Analytics

New York,  NY 
United States
https://wayvee.com/

• Booth: 2313

Wayvee Analytics is a retail tech company offering the latest advancements in emotion recognition, evaluating Customer Satisfaction (C-SAT) and engagement in real-time within brick-and-mortar stores. Using radio frequency (RF) waves and proprietary AI algorithms, Wayvee analyzes emotional responses - based on physiological signals such as breathing, heart rate, and micro-movements - and directly correlates this data with customer satisfaction, while ensuring customer privacy. Installed in-store and applicable to shelves, displays, and point-of-sale systems, the Wayvee device delivers instant feedback on 100% of customer interactions. Along with evaluating key performance metrics like dwell time and engagement, Wayvee pinpoints sources of dissatisfaction and provides actionable recommendations. With real-time access to these insights through an interactive dashboard, retailers can optimize shelf layouts, improve store performance, allocate resources efficiently based on customer flow, evaluate conversion rates, and enhance the overall customer experience.

 Press Releases

• Wayvee Analytics Secures $5M for Emotion AI Tech (Oct 14, 2024)

  Team of ex-CERN Physicists and Neuroscientists Combine Radio Frequency Waves and AI-Powered Sensor to Analyze Physiological Signals and Measure Customer Satisfaction Anonymously
  
  New York - October , 2024 - Wayvee Analytics, a customer satisfaction analytics innovator for brick-and-mortar retailers, today emerged from stealth with $5 million in pre-seed funding led by Tetrad.vc. By uniting radio frequency (RF) waves with proprietary artificial intelligence (AI) algorithms, Wayvee’s emotion AI technology anonymously analyzes emotional responses based on physiological signals in real time, evaluating Customer Satisfaction Score (C-SAT) and key performance metrics for retailers. Installed in-store and applicable to shelves, displays, and point-of-sale systems, Wayvee device delivers instant feedback on all customer interactions, identifying sources of customer dissatisfaction that impact C-SAT and offer actionable recommendations for improvement. Having this data in real-time through a data dashboard, retailers can evaluate conversion rates, plan store operations, do a/b testing for shelves to optimise layout, etc. 

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