Flora Match, part of Genetica’s Flora AI product suite, is a product recommendation platform and dashboard utilizing a data pool of over 650 million sources in real-time to select the best products for individual consumers scientifically. Flora Match leverages a unique combination of machine-learning science and consumer data to build the foundation for your staff to serve your customers better, leading to larger cart sizes and customer loyalty retention. It learns about a customer’s unique wants, needs, and health factors while curating a library of the most highly-cited, global Cannabis Research. It then calculates nuanced differences amongst products in the store inventory to provide guidance in products fitting the customer’s wants, needs, and availability – on the site, in the dispensary, or in the store. Utilizing Flora Match in your retail store is simple – the customer answers 12-15 questions after scanning your store's custom QR code, and is recommended 3-5 products best suited for their individual needs.
Flora OS, a part of Genetica's Flora AI product suite, provides retailers with the technology to connect all your data and get the guidance you need to streamline operations and improve profitability. This operating system is designed to remove the need for operators to check multiple data points and sources to make their own conclusions. Remove the need for spreadsheets and calculators, Flora OS is a full business operating system at your fingertips.
Customers engage with Flora Match through their smartphones, answering 12-15 questions in ~90 seconds
Flora AI recommends 3-5 products that are best suited for your customer's needs and desires
Returning customers are prompted to rate their previous purchases and will consider that data for future purchases
Accurate product recommendations lead to an increase in top line revenue, customer retention, and loyalty program conversions!
Hear how those utilizing Flora Match are transforming their customer’s experiences and making cannabis education accessible.
Results After 120 days With Flora Match:
Genetica is proud to partner with cannabis and hemp companies that are integrated into every aspect of the industry. From seed banks to store retailers, Genetica’s partners represent an ongoing need for science and technology where it relates to making personalized product recommendations to consumers.
The Flora AI product suite is available to select cannabis and hemp retailers across the United States and Europe. If you’re ready to see how the Flora AI product suite can transform your business, schedule your consultation with a member of the Genetica team today and learn how easy it is to integrate our technology into your store.
Give your customers what they need, enrich your staff with learning opportunities, and grow your business with powerful analytics.
Schedule your demo today!
The Science supporting the technology known as Flora AI is called Collective Dynamics. Collective Dynamics (CD) is based upon a merging of multiple scientific disciplines.
Product Recommendations come from a Knowledge System that leverages a multivariate landscape of diverse sources to feed the engine in its endeavor to understand user needs while balancing budtender advice and store owner focus
Her product recommendations are based on a multiple variables, such as; ailment, experience level, pharmacokinetics, pharmcodynamics, store inventory, budtender insight, cumulative consumer reviews, and more
Using numerous subspecialities within Artificial Intelligence, Flora learns about a customer’s unique needs, wants and health factors while curating a library of the most highly-cited worldwide Cannabis Research. Flora then calculates nuanced differences amongst products in the store inventory to provide guidance in products fitting the wants, needs and availability intersection of the customer on the site, in the dispensary or store.
The Science supporting the technology known as Flora AI is called Collective Dynamics. Collective Dynamics (CD) is based upon a merging of multiple scientific disciplines.
Product Recommendations come from a Knowledge System that leverages a multivariate landscape of diverse sources to feed the engine in its endeavor to understand user needs while balancing budtender advice and store owner focus
Her product recommendations are based on a multiple variables, such as; ailment, experience level, pharmacokinetics, pharmcodynamics, store inventory, budtender insight, cumulative consumer reviews, and more
Schedule a demo today to see how Flora could help support your customers.
Interested in our services? Fill out this form and a member of the Genetica team will be in touch as soon as possible.
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