Dive Into The Largest Dataset In Cannabis

All data on Headset begins at the retail and dispensary level. Data is collected from participating retailers’ POS systems at +3000 retailers across the United States and Canada.

Data is aggregated, anonymized and normalized (mapped to a product in our database) to provide a standard view of the market. We also combine our data with information from government agencies as well as publicly traded company reporting

Robots to the rescue! Machine learning algorithms help normalize the disparate product data found in the retailer data. Machine learning automates much of the process of turning messy data into something tidy.

Data entry and product catalog specialists ensure quality, enter new products and associate metadata with those products into product traits

Aggregated retailer data is cleansed to reduce noise and skew. Inferential statistics methods are applied to the sample to ensure accuracy. We also validate with product manufacturers against their sell-in data.

From this sample, projections are developed and published on the Headset plaftorm.