Preferabli – the leading AI-driven B2B2C product discovery and recommendation AI software for wine, spirits and food with industry-first capability for cheese – announces the appointment of Matthew Rose ACS CCP, CCSE as the brand’s Cheese Curation Analyst. With years of experience across hospitality, grocery retail, and consumer goods, Matthew is primed to scale Preferabli’s software capabilities for specialty cheese.
With his background as the Lead Cheesemonger at the notable Fairfield Cheese Company in Fairfield, Connecticut. Matthew is excited to employ his sensory skills to evaluate cheeses for use in Preferabli discovery and recommendation software solutions. Matthew will also be providing insight on market dynamics relevant to the cheese industry.
Rose expresses “I am delighted to join the Preferabli team to help expand the only platform that provides a personalized tasting experience in cheese for consumers. Preferabli offers me a chance to bring together my experience and knowledge to connect customers with all of the incredible and diverse cheeses available today.”
Matthew is one of the few experts in the world who holds both the American Cheese Society’s Certified Cheese Professional® (ACS CCP®) and ACS Certified Cheese Sensory Evaluator® (ACS CCSE®) certifications. This dual accreditation is a testament to his extensive knowledge and experience in cheese making and retailing. The ACS CCP® certification signifies a comprehensive understanding and expertise demanded by the cheese industry, while the ACS CCSE® certification showcases his skill in the assessment, evaluation, care, and service of cheese.
“Matthew brings a layer of expertise to the enterprise that will accelerate our solutions for specialty cheese in the way we’ve been known for in wine, spirits and food. As with wine, cheese can be overwhelming to consumers since relatively few are known to them. Our software supports businesses to help their consumers find what they will love,” explains Pam DIllon, Co-Founder and CEO of Preferabli.
Trusted by specialty and grocery retailers, hospitality and travel, and DTC marketplaces and distribution, Preferabli licenses product discovery and recommendation software to help the industry market and sell to individual taste preferences in the way a human expert would – at scale. Preferabli works across web, mobile and GenAI.
Preferabli makes 1:1 personalized, taste-based recommendations from customer signal using their purchases, ratings and search histories. All recommendations are based on individual preferences, not crowdsourcing. The software uses a novel form of machine learning protected by 12 patents and built by PhDs in physiology and applied mathematics, and the largest group of Masters of Wine and Master Sommeliers in the world.
