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AI That Delivers: Use Cases for Cannabis Retail Operators

Hi Reader,

Top dispensary operators aren’t chasing AI hype—they’re using it to cut costs, save time, and make smarter decisions. In this week's newsletter we are going to explore 7 real-world ways AI is transforming cannabis retail today:

• Data Cleansing: Fix vendor typos, duplicate strain names, and SKU mismatches for cleaner, faster reporting and eComm sync in minutes.
• Auto-Reformatting: Convert vendor files, COAs, and POs into import-ready formats —no more late night spreadsheet chaos.
• COA Parsing + Content: Extract batch data and auto-generate brand-aligned menu and marketing content from lab docs that resonates with your dispensary guests.

• Enterprise Data Agent: Ask plain-English questions and get instant answers from your POS, inventory, loyalty, and other data. Your 24/7 personal data analyst.
• Customer AI Models: Predict churn, segment by shopping habits, and target offers to optimize marketing spend and maximize customer lifetime value.
• AI Forecasting: Boost SKU-level accuracy with models that adjust for volatility, seasonality, events and drop timing.
• Vendor Review & Category Planning Templates: Use AI to auto-populate templates with your data, build better assortments, negotiate smarter deals, hold vendors accountable and track performance.

AI is already in your tool kit, automating some tasks— where are you going to harness AI as an enterprise tool for efficiency and bigger financial impact?

Let’s talk: nick@palomargroup.ai

Be well!

Nick

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Palomar Group, NW Washington DC 20008 United States
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