Forecast Accuracy

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Forecast Period

6 Months

March - August 2025

ML Models Active

1

Quantity, Revenue, & Demand
Forecasting Focus: Flower Category Revenue

This dashboard showcases a predictive model trained exclusively on Flower category sales data. As our most robust and reliable model to date, it serves as a proof of concept for what's possible with advanced machine learning and public cannabis sales data in Maryland.

Coming Soon: Enhanced AI-Powered Predictive Analytics

We're developing advanced machine learning models to forecast cannabis sales trends, quantity sold, and consumer behavior across Maryland. These predictive analytics will help stakeholders anticipate market changes, plan inventory, and make evidence-based business and policy decisions.

Note: Forecasts are based on historical MCA data and machine learning models. Prediction intervals show confidence ranges.
Sample Forecast: Flower Revenue

This chart displays a 6-month projection of cannabis revenue for the "Flower" category using machine learning trained on historical sales data from the Maryland Cannabis Administration (MCA).

  • 🔵 Predicted Line: Represents the projected revenue
  • 🔘 Confidence Band: Shows 95% prediction interval
This forecast is not intended for operational use. Accuracy will improve with direct integration into data sources like METRC and POS systems.
Predicted Sales Revenue vs Quantity Sold

Coming Soon: Once integrated with official sales data systems (e.g., METRC), this chart will show side-by-side forecasts for both quantity sold and revenue, broken down by product category and region.

We're actively building toward this as part of our Predictive Analytics premium tier.

What's Next for Predictive Analytics?
  • Integration with METRC for real-time inventory + pricing data
  • Advanced models using consumer behavior + point-of-sale trends
  • Regional demand forecasting and AI-powered recommendations

This page reflects an early preview based on publicly available data from the MCA. For licensing or data partnerships, get in touch.

Forecast Insights
  • Trend Analysis: Flat prediction suggests market stabilization
  • Confidence Intervals: Widening bounds indicate increasing uncertainty over time
  • Revenue Correlation: Strong positive relationship between quantity and revenue
  • Data Source: Maryland Cannabis Administration (MCA)