AI Consulting for Cannabis Operators Who Are Done Running the Business From Spreadsheets
Palomar Group builds the data foundation, analytics, and AI automation that dispensaries and MSOs need to stop guessing and start scaling — from store performance to vendor promotions.
You're Running a Modern Retail Business on Manual Reporting
- Store performance, inventory, and vendor data live in silos
- Promotions and vendor credits are tracked by hand — and money slips through the cracks
- There’s no historical view for forecasting, planning, or vendor negotiation
- Every new store or SKU means more manual work, not less
That’s not a reporting problem. It’s a data infrastructure problem — and it’s exactly what we fix.
What We Do
AI Consulting and Analytics Built Specifically for Cannabis Retail
Palomar Group is an AI consulting firm that works with dispensary operators and MSOs to replace spreadsheet chaos with a real data and analytics foundation — then layers in the AI tools that make it actionable. We work three ways:
We migrate your retail sales, customer, campaign, and inventory data to a secure cloud platform (Google Cloud) and build the integrated data warehouse your business runs on. From there, we implement AI/ML for customer segmentation, demand forecasting, and inventory optimization, plus conversational GenAI tools for business intelligence and automated product-data cleanup. This is full digital transformation, not a dashboard bolt-on.
A hosted analytics layer that sits on top of Dutchie, Flowhub, or Blaze and turns two years of transaction history into answers on day one: weekly store scorecards, automated AI insights every Monday morning, vendor and inventory analysis, and budtender productivity tracking. Fully hosted — nothing for your team to install or maintain. Live in days.
An AI-assisted system that plans your promotional calendar, connects to live POS data for real-time performance tracking, and automatically calculates and generates vendor credit notices. Operators typically recover 40–80 hours a month and stop losing margin to uncollected credits.
What This Looks Like in Practice
Case Study: Full Digital Transformation for a Cannabis Retailer
The challenge:
A cannabis retail client was running the business largely from spreadsheets — manual reporting, no historical insight, no forecasting, and no automation of core backend processes.
What we did:
Palomar migrated all retail sales, customer, campaign, inventory, and related data to Google Cloud and built an integrated data and analytics warehouse. On top of it, we implemented AI/ML for customer segmentation, forecasting, promotions and vendor credit management, and inventory optimization — plus a conversational GenAI tool for BI and a GenAI pipeline to clean and enrich messy product data.
The results:
- Saved hundreds of hours by automating manual data management
- Gained integrated historical data for forecasting and planning
- Increased campaign ROI through customer segmentation and targeted offers
- Generated incremental revenue through more efficient, better-documented vendor negotiations
- Transitioned to a next-gen, data- and analytics-driven retail model
Stack:
Google Cloud, Vertex AI, BigQuery, Looker Studio, Gemini. Integrated with POS (Blaze), SMS campaigns (Leaf Buyer, Black Leaf), ERP (Distru), and store operations (Kayapush).
“By moving from spreadsheets to Palomar, we didn’t just save hours — we stopped leaking margin on uncollected vendor credits.”
Why Cannabis Operators Work With Palomar
- We know the cannabis stack. Dutchie, Flowhub, Blaze, Distru, Leaf Buyer — we integrate with what you already run.
- Fully hosted, fast to launch. Go live in days, not months. We manage the backend so your team doesn’t have to.
- Consulting and software. We don’t just advise — we build and operate the systems (Dispensary Navigator, Promotions Management) that make the strategy real.
- Built to scale. Add a store or 50 SKUs next month; the data pipeline scales with you as a Google Cloud Partner.