As I transition my i502 data mining project from my laptop to the cloud, I’m working on a conceptual framework for offering competitive briefs, reports, charts, and drill-down maps on i502 Producers, Processors, and Retailers. This will include insight, commentary, and a sizeable chunk of data factoids about your closest competitors.

Here are some of my initial thoughts:

• For Producer/Processors
  • Production/Processing
    • Products made
    • Products sold
    • Products destroyed
    • Products failed testing
  • Heat maps with layers for:
    • Retailers by location
    • Products by retailer
    • Wholesale Sales by product type, product, temporal (daily, weekly, monthly, yearly)
    • Retailer markups
      • By retailer
      • By product type
      • By Product SKU
• For Retailers
  • Wholesale cost
    • By product type
    • By product
    • By producer/processor
    • By region/geography
  • Retail Sales
    • By product type (flower, oil, edibles)
    • By SKU (e.g. Skord Nightmare Cookies Live Resin)
    • By Producer/Processor
  • Top 10 Producer/processor sales drill down
  • Top 10 closest retailers (region/geography)
  • Top 10 closest retailers (aggregate sales)

Goals:

1. Learn who your competition is.
2. Understand the range of products your competitors produce/offer/sell.
3. Understand the range of products that you or your competitors DON’T SELL (products sitting on shelf).
4. Understand how much and when your customers sell.
5. Understand where and to whom your competitors sell. ]

That’s all I can think of off the top of my head for now. Will update/edit post as I iterate and refine this conceptual framework.

If you made it this far, thanks for taking the time to read through this post. As a reward, here’s a pic of some Chem Dawg I grew back in the MMJ days.

BDE -∞+