Skrible Startup Seeks Restaurants to Beta Test Analytics Tool

Skrible is designed to collect data from restaurants in order to predict if they will be profitable from week to week, its co-founder says.

Skrible

Restaurant data analytics startup Skrible is looking for a few good eateries to beta test its product.

Anthony Ball, CEO and co-founder of Skrible told Dallas Innovates that the startup will be releasing its beta product on Oct. 1.

“Beta testers will have the opportunity to utilize our software for free until Jan. 1,” he said. 

There is is no limit on the number of beta users, but Ball said the testers must be located in the Dallas-Fort Worth area.

“Skrible is designed to collect data from restaurants in order to predict if they will be profitable from week to week.”
Anthony Ball

“Skrible is designed to collect data from restaurants in order to predict if they will be profitable from week to week,” Ball said via email. “At the end of each week, we’ll then analyze the performance in order to identify problems that might have caused a reduction in profits or a loss and finally we’ll provide owners with insight on how to solve the problem.”

Ball said that Skrible is built “utilizing machine learning algorithms and our proprietary formula which is based around your restaurants unique profit metrics.”

Skrible’s niche is that it is a self-serve restaurant intelligent program that targets small to mid-market restaurant groups. 

“And, unlike other programs, we’re not designed to be a management tool, instead we’re specifically designed to provide restaurant owners with insight,” he said. “And, we summarize that insight via a report card which breaks the restaurant down into categories and scores each category.” 

The company wants feedback specifically from restaurant owners, “since our product is designed to cater to their need,” he said.

Skrible recently “leveled up” at the Dallas-based Tech Wildcatters accelerator.

If you’re a restaurant owner and you’d like to participate, visit the Skrible website here.


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