Data analytics for cannabis operators. We unify cultivation, compliance, and retail data to cut cost, improve margin, and meet Metrc reporting.
POS, inventory, and cost data live in separate systems with no unified view
Yes. We build automated pipelines from Metrc and other state track-and-trace systems into your reporting layer so compliance reporting is generated automatically rather than assembled manually.
Yes. We integrate POS systems including Flowhub, Dutchie, and others with your financial and inventory data to give you a unified view of margin, inventory turns, and revenue by location and SKU.
We design data architectures that normalize data across state-specific compliance requirements and POS configurations so you can see a consolidated view of operations without losing the state-level detail you need for compliance.
Most cannabis data foundation engagements run 8 to 12 weeks. We start with a 30-day Analytics Truth Audit that maps your current systems and data gaps before any build work begins.
Data analytics consulting for cannabis operators. Unify cultivation, compliance, and retail data to reduce costs and meet Metrc reporting requirements.
Data and analytics consulting for cannabis operators. Compliance, inventory, and revenue metrics.
The cannabis industry is maturing fast. Operators who built on spreadsheets and disconnected point-of-sale systems are now competing against companies with unified data platforms. We connect cultivation, compliance, retail, and finance data so you can see margin by SKU, track Metrc compliance in real time, and stop losing hours to manual reporting.
We pull your cultivation, compliance, and retail data together in one spot. Simple.
We create dashboards that lay out your margins and operations clearly. No extra fluff, just straight-up numbers to help you make better decisions.
We keep your compliance data ready to go. No guessing, no rushing at the last minute. Just clean, organized info you can count on.
The 30-day Analytics Truth Audit identifies every manual reporting workflow that should be automated and every data gap that creates compliance risk.