TechSee Launches First Scalable AR Assistant Platform Powered by Computer Vision AI
EVE Cortex utilizes neural networks and synthetic data to learn in hours rather than months for powerful self-service applications
TechSee, the market leader in Computer Vision solutions for customer service, announced the launch of EVE Wonder, the company’s next-generation artificial intelligence platform (AI) that teaches itself to recognize thousands of products, models, parts, and components by ingesting only a handful of data points. EVE Cortex utilizes a combination of patented AI neural networks and synthetic data to train itself in a matter of hours, making it the first truly scalable, interactive augmented reality (AR) self-service platform for widespread use across dozens of consumer and enterprise applications. Here’s how EVE Cortex works.
Throughout the pandemic, enterprises flocked to video and AR for customer support and began to realize the data from these transactions could be leveraged for AI solutions. But having the data and actually being able to utilize it for a Computer Vision platform was nearly impossible; high costs and labor coupled with months and years of data collection and training was prohibitive. Using visual data to train AI to recognize thousands of consumer devices – let alone teaching it how to troubleshoot and repair them – was a mountain that couldn’t be conquered.
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EVE Cortex turns that notion on its head. It builds on the industry’s first AR assistant introduced by TechSee in 2018 by enabling enterprises to custom-build their own visual self-service flows in less than half the time and at a fraction of the cost than previously possible. No knowledge of advanced coding, programming languages, or algorithmic science is necessary to create journeys for product unboxing, b******, contracting, troubleshooting, w******* claims, product registration, and highly technical repair.
The end result is a visual assistant that gives smartphones and tablets the ability to see what customers see. Users merely point their smartphone or tablet camera at a device for the AI to troubleshoot and resolve issues. There’s no need to call customer support or wait hours for a technician.
“The future is here, and it’s time to say goodbye to user manuals and embrace AR assistants,” said Eitan Cohen, CEO of TechSee. “Virtual assistants that can see, hear, read, and interact are what’s going to transform the way that consumers and employees receive assistance, while saving brands millions and generating new revenue.”
Enterprises, as a result, are saving millions of dollars by cutting call volumes, increasing first-contact resolution rates, reducing truck rolls and dispatches, decreasing product return rates, and improving the customer experience.
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According to Gartner, only 9 percent of self-service interactions are actually successful in resolving a customer’s issue; AR Assistants, a new market category that was introduced by TechSee in 2019, brings ‘smart eyes’ to self-service channels and opens a new world of use cases that previously couldn’t be addressed.
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Product unboxing – EVE Cortex walks consumers through unboxing and setup of various consumer electronics, from security cameras to mesh networks to smart thermostats.
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Product registration and w******* activation – Consumer electronics manufacturers and retailers use EVE to simplify w******* registration and capture customer information within seconds for unique upselling opportunities.
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B****** and invoice explainers – Service providers enable EVE to explain bills and invoices to consumers while reading physical devices such as water/gas/electrical meters and POS terminals.
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Insurance claims and underwriting assistance – Policyholders use EVE Cortex to capture damage to insured property or identify items they want to insure for virtual underwriting.
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Job verification – EVE Cortex certifies that an on-site field technician has made a successful repair by examining work via the technician’s smartphone or tablet camera or AR glasses. Tens of thousands of field service technicians in the U.S are already using it to install fiber optic boxes.
Companies such as Vodafone, Telus, Orange and Hippo have begun using EVE Cortex to provide end-users with step-by-step visual guidance with an easy AR overlay without the help of a customer support representative or in-person technician.
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