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RadiusAI Retail

RAI's Computer Vision Can Give You The Advantage You Have Been Searching For

Our proven computer vision, Viztel™ technology can help you understand where your missed opportunities are, where bottlenecks are reducing sales, or where your product placement is not catching the right customer's eyes.
With RadiusAI Retail, that is just the beginning.
Other solutions merely count people, review video footage after the fact, or look at POS data, which doesn't truly help you improve performance and profit.

Using Existing Security Cameras

Retail AI With Real-Time Actionable Insights

Queue Analytics
Queue analytics including cause of delays
Customer Counts
Customer (not just people) count and visitor-to-customer conversion
Store Layout
Product placement including beverage bar and kitchen analytics
Parking Lot Analytics
Lot occupancy and dwell time
Customer Journey
A unique profile for every customer along each journey, including the products they focus on
Employee Metrics
Security and staff identification
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More Sales and Satisfied Customers

RadiusAI's computer vision help you take advantage of the missed opportunities such as knowing if someone left the store without purchasing or if your product placement is ideal, in order to provide the insight to help you create more sales and satisfied customers.
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Make Swift, Data-Driven Decisions

The focus of our human-centric AI is to nudge your staff in real-time so they can make improvements and our customizable management dashboard allows decision-makers to make swift, data-driven decisions which can ultimately reduce costs, improve revenue, and naturally lead to an increase in profit.
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Map Customer Journeys

With our Retail AI, we map tens of millions of customer journeys every single year. This allows our customers to be adept in shifting their focus if necessary and solidly plan for the future.
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Insights and Comparative Analysis

Team members appreciate our retail solution as it allows them to run a comparative analysis of shift performance with similar time periods (e.g., the first Monday of the month to the last Monday of the month), and find valuable insights such as checkout time and queue wait time, that POS data alone does not cover.
Jeff Cox
Jeff Cox
Co-Founder & Executive Chairman, RadiusAI

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