Genetica's Flora Match utilizes machine learning and a data pool of over 650 million sources to provide personalized product recommendations for cannabis consumers based on their unique health factors and preferences. This technology enhances customer experience and increases retailer revenue by accurately matching individuals with the most suitable products, resulting in significant improvements in transaction size and customer retention.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Cannabis retailers often struggle to provide personalized product recommendations due to the vast array of available products and the unique preferences and health factors of individual consumers. This can lead to customer dissatisfaction, reduced sales, and difficulty in building customer loyalty.
Solution
Genetica's Flora Match is an AI-powered product recommendation platform designed to enhance the cannabis retail experience. By leveraging a data pool of over 650 million sources and machine-learning algorithms, Flora Match analyzes individual customer profiles based on their specific needs, wants, and health factors. The platform then curates a selection of cannabis products from the store's inventory that best align with the customer's profile. This personalized approach enables retailers to improve customer satisfaction, increase transaction sizes, and foster long-term customer retention.
Target Audience
The primary target audience is cannabis and hemp retailers in the United States and Europe seeking to improve customer experience, increase sales, and build customer loyalty through personalized product recommendations.
Features
- AI-driven product recommendations based on individual customer profiles
- Data pool of over 650 million sources, including cannabis research and consumer data
- Customer engagement through a questionnaire (12-15 questions) via a custom QR code
- Recommendation of 3-5 products best suited for individual needs
- Continuous learning from customer ratings of previous purchases
- Integration with Flora OS for streamlined operations and improved profitability
- Analytics dashboard for tracking key metrics such as transaction size and customer retention