Connect with us

Business

Genetica Unveils Cannabis AI Retail Platform ‘Flora Match’

Uses machine-learning science and consumer data to generate personal product recommendations.

mm

Published

on

PHOTO BY GLOBAL CANNABIS TIMES

Genetica has announced the launch of Flora Match, an AI-powered cannabis retail platform which will work to generate tailored product recommendations for consumers.

Utilizing over 650 million data points in real-time, the company says Flora Match is built to “enhance the retail environment for both customers and retailers.” By analyzing an array of data points – including the consumer’s dietary habits, activity levels, age, medical conditions, and desired outcomes – the platform works to provide “bespoke product recommendations,” Genetica states.

“This roll-out marks a significant stride in our mission to elevate retail experiences through smarter, data-driven tools,” said Genetica CEO Ben York.

Even with over two hundred dispensaries already on the wait-list for Flora Match, Genetica says that the platform is just the beginning. An all-in-one operating system, Flora OS, in already in the works for the near future.

Advertisement

SPONSORED VIDEO

Going Global - Pioneering Cannabis Hospitality: A Conversation with Arend Richard

In this enlightening interview, Arend Richard, a seasoned entrepreneur from the cannabis industry, shares his journey from starting a YouTube channel to educate on cannabis use, to co-founding WeedTube, and developing a unique cannabis hospitality business. Born and raised in Colorado, Aaron discusses the evolution of his business ventures and his current project—creating a welcoming, educational environment for both seasoned and first-time cannabis users. He delves into the challenges of establishing a cannabis-friendly social space, including regulatory hurdles and community engagement, and highlights his vision for a new kind of social interaction centered around cannabis.

Promoted Headlines

Advertisement

Advertisement

Advertisement

Facebook

LATEST COMMENTS

Most Popular