REVTECH Announces 2017 Graduate Program Participants

Every year, REVTECH, an accelerator program based in Dallas that mentors retail tech startups, takes a few top-
tier groups under their wing and gives them the tools to become successful businesses. This year’s theme is “AI, Automation, and Analytics – vital tools for the retailer in the age of Amazon.” The cohorts involved in the accelerator course develop products to help today’s retailers enhance their in-store experience for customers. REVTECH announced the 2017 Graduate Program Participants on March 6, 2017.

Accel Robotics is based in San Diego is a four-man team that creates extraordinary robots designed to enhance the human experience.

Arcade is a team split between Melbourne, Australia, and Dallas, Texas that look to bring gamification to retail stores that will increase retail employee engagement.

Banter is from Palo Alto, California who is using a combination of Artificial Intelligence and human agents to create better communication between businesses and customers to help make easier purchases and receive real-time assistance.

Birdzi, from Iselin, New Jersey is building a personalization platform for retailers and brands to connect with customers through omnichannels that are accessible from any device.

Fract is a team from San Francisco, California who has created an app that helps retailers accurately predict the best place to set up shop by using data of the location to predict if an area is an optimal spot for patrons.

Kwik is a company from Tel Aviv, Israel who is utilizing an Internet of Things platform to connect retailers, brands and service providers to their customers at the click of a single button for repeat orders.

SupplyAI from San Francisco, California looks to be the world’s first AI-powered platform that helps retailers predict customers’ return behaviors and prevent loss of revenue from dissatisfaction from products.


To learn about REVTECH and the teams check out their website here.

See previous LaunchDFW coverage on REVTECH here.

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