Press Release

Hi Auto Crowned 'Innovator of the Year' for Pioneering Voice AI in Drive-Thrus

By Hi Auto

2 min read

Hi Auto Crowned 'Innovator of the Year' for Pioneering Voice AI in Drive-Thrus

Hi Auto, a trailblazing company in drive-thru voice AI technology, has been named "Innovator of the Year" at the Checkers & Rally's annual convention. This prestigious accolade underscores Hi Auto's pivotal role in transforming the quick service restaurant (QSR) industry with its advanced voice AI solution.

"This recognition is a testament to our team’s relentless drive for innovation and excellence," said Roy Baharav, CEO of Hi Auto. "Collaborating with Checkers & Rally's, we are setting a new standard for the QSR experience by deploying our voice AI technology across their extensive national footprint. Our shared vision is to redefine efficiency and customer engagement in the drive-thru landscape."

Hi Auto stands at the forefront of the QSR technology sector, with its voice AI technology now a cornerstone in over 400 locations across more than 20 states in the U.S., including a significant presence in Checkers and Rally's franchises and corporate-owned restaurants.

Minh Le, Chief Information Officer at Checkers & Rally's Restaurants, praised Hi Auto's innovative streak: "Hi Auto's drive-thru voice AI technology is not just innovative; it's revolutionary. With advanced features such as bilingual English and Spanish capabilities to enhance inclusivity and cloned voices to enhance branding, Hi Auto is propelling our restaurants to new heights of customer interaction and service."

Checkers & Rally's, operating over 800 restaurants, celebrated a transformational year at their annual convention in Nashville. The event brought together more than 300 franchisees, vendors, and Restaurant Support Center employees to honor excellence and introduce new initiatives. Among dozens of vendors, Hi Auto stood out, securing its market-leading position with its proprietary natural language processing and high-accuracy voice recognition technologies, specifically tailored for QSRs

Sources

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TopicsAutomatic Speech RecognitionDrive-ThruHi AutoNatural Language ProcessingVoice

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