Matt Kurtzman

Founder and CEO at Canold

Matt Kurtzman has a diverse work experience spanning different industries and positions. Matt is the Founder and CEO of Canold and played a key role in establishing Short Path Distillery, a craft distillery and cocktail bar. Additionally, they have worked as a Data Scientist at Reputation Institute and Senior Data Scientist at The Boston Consulting Group, where they contributed to solving complex analytical problems using tools such as SAS Enterprise Miner, Alteryx, and Tableau. Matt also has experience as a Senior Business Analyst at TripAdvisor, where they focused on analytics and dashboard reporting. Prior to that, they worked at Staples as a Senior Site Optimization Analyst, Lean Six Sigma Black Belt, and Senior Transportation Analyst. Matt began their career as an Assistant Buyer at Bose Corporation and held a role as a Transportation Analyst at Seven Up Bottling Company. Matt also worked as a Logistics Assistant at Tyco Healthcare, where they implemented and managed a U.S. customs compliance record keeping system.

Matt Kurtzman earned a Bachelor of Science degree in Supply Chain Management and Accounting from Northeastern University, where they attended from 2002 to 2007. Prior to their university studies, Matt obtained their High School Diploma from Academic Magnet High School.

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Boston, United States

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Canold

Canold offers a wide range of data-driven consulting services, proprietary software solutions, and customized middleware for the cannabis industry. We have the necessary tools and expertise to help you grow your business and show you how to properly manage your data and leverage it to create actionable insights. Services include: Predictive analytics Data-driven customer/patient churn prevention and intervention Customer / patient retention optimization Customer/patient lifetime value analytics Customer / patient cross-sell and up-sell Promotion, marketing, and loyalty program effectiveness Geo-spatial analytics Customer / patient segmentation analytics New vs. returning patient SKU, Category and strain level analytics Customer/patient geographic and demographic analysis Data visualization Dashboard creation Command center creation Monthly reporting services Custom analytics Data-driven process optimization


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