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Live with cannabis operators on Flowhub + Dutchie

AI Analytics for Cannabis Operators Stop guessing.
Dig deeper.

Diggory™ is a highly-skilled AI retail data analyst, built for and by cannabis operators who want to dig deeper. Ask anything about margins, inventory, customers, or trends — then turn those insights into targeted customer segments, exported campaign-ready to your CRM.

Month-to-month · No contract · Annual prepay discount

Integrations: Flowhub Live Dutchie Live Cova Planned Treez Planned
Diggory Analytics Dashboard — desktop and mobile views
🔒 Your data never leaves your environment
⚡ Live POS data, no manual exports
🤖 Powered by Claude AI
📊 280E-aware margin analytics
The Problem

Your POS has reports.
It doesn't have answers.

Flowhub, Dutchie, and every other POS gives you static dashboards. Diggory gives you a conversation.

📉

Rigid dashboards miss the signal

Canned reports show you what happened. They can't explain why, or tell you what to do next. You end up exporting to Excel and doing the work yourself.

💸

280E makes every margin point critical

Federal tax treatment under 280E means cannabis operators can't deduct ordinary business expenses. Understanding your true margin by SKU, category, and vendor isn't nice-to-have — it's survival.

👥

Customer data is sitting unused

You have years of transaction history. Lapsed customers, high-value segments, basket trends — all locked in your POS with no easy way to act on it.

The Solution

Ask anything.
Get real answers.

Diggory connects directly to your POS, keeps your transaction history up to date, and gives you an AI that can actually answer operational questions — not just display charts.

💬 "What's my gross margin by category this month?"
💬 "Compare my flower velocity to last quarter."
💬 "What's selling below cost right now?"
🎯 "Build a win-back segment: lapsed 60+ days, opted in to email, spent over $200."
🎯 "Give me loyalty members with 1,000+ points who consent to SMS — export for Alpine IQ."
Diggory — Ask your data anything
You
What were my top 5 margin SKUs last 30 days?
D
Here are your top 5 highest-margin SKUs for the past 30 days:
67% Blue Dream 1/8
62% House Pre-Roll 5pk
58% RSO Syringe
House flower and in-house pre-rolls are consistently outperforming branded SKUs by 18–24 points. Worth reviewing your branded flower allocation.
You
Which of those have enough velocity to scale?
D
Blue Dream and House Pre-Roll both moved 80+ units in the period — solid velocity. RSO Syringe is high margin but only 12 units. Prioritize the pre-roll expansion first.
Ask a follow-up question...
→
New · Daily Digest

Your morning dashboard,
in your inbox.

Wake up to yesterday's numbers visualized — revenue cards colored against baselines, hourly sales charts, top products, and fastest-depleting SKUs. Rendered fresh each morning, on your schedule.

  • Revenue cards colored by performance vs baseline
  • Embedded hourly sales + basket charts
  • Top 5 selling SKUs and fastest-depleting inventory
  • Inventory depth by category and pack size
  • Daily, weekly, or every-N-days — your call
💬Just ask Diggory: "Set up a daily email at 7am." Done.
How It Works Up and running in minutes. Tap to expand

No data warehouse. No ETL pipeline. No consultants.

Step 01
🔌

Connect your POS

Share your API credentials. Diggory imports your complete transaction history and keeps it in sync — automatically, in the background.

Step 02
💬

Ask anything

Type questions the way you'd ask a smart analyst. Margins, trends, customers, inventory gaps — Diggory figures out the right query and runs it against live data.

Step 03
🎯

Act on the insight

Get clear, actionable answers — not just charts. Understand what's working, what's leaking margin, and where the opportunity is.

Step 04
🔄

Always current

Diggory syncs with your POS every few minutes. Ask about today's sales at any moment — no manual refreshes, no stale exports.

Detailed Capabilities Everything an operator needs to know. Tap to expand
📊

Sales & Revenue Analytics

Daily, weekly, and trailing-period sales with trend analysis. Hourly breakdowns, day-of-week patterns, and comp periods.

💰

Margin Intelligence

True margin by SKU, brand, category, and vendor. Spot margin compression before it becomes a problem. 280E-aware cost analysis.

📦

Inventory Depth

Days-on-hand by product. Dead stock alerts. Velocity ranking. Know exactly what's moving and what's tying up cash on the shelf.

👥

Customer Insights

Lapsed customer detection, visit frequency, top spenders, basket size trends. Re-engagement lists ready to act on.

🎯

Customer Segmentation

Build targeted segments in plain English — loyalty tier, spend, visit history, product affinity, SMS or email consent — and export a campaign-ready CSV directly to Alpine IQ.

🛒

Basket & Affinity Analysis

What products are bought together? Where are upsell opportunities? What's driving average transaction value up or down?

🧠

Memory That Learns Your Business

Diggory remembers your preferences, your team, your SKUs, and past conversations. Three-tier memory carries context forward — no re-explaining your store every time you open a chat.

FAQ

Common questions.

What is Diggory?

Diggory is an AI retail data analyst built for cannabis operators. Dispensary owners and managers ask plain-language questions about their business — margins, inventory, customers, and sales trends — and get answers backed by their real point-of-sale (POS) data, with no data warehouse or analyst required.

Which cannabis POS systems does Diggory integrate with?

Diggory integrates live with Flowhub and Dutchie today. Cova and Treez integrations are planned. Diggory reads your existing POS data, so there is no ETL pipeline to build.

Can AI answer questions about my dispensary's POS data?

Yes. With Diggory you ask questions in natural language — for example "what was my margin on flower last week?" or "which customers haven't returned in 30 days?" — and Diggory answers using your live POS data, then can export the result as a customer segment to your CRM.

How does Diggory help with 280E and margin tracking?

Because cannabis retailers can't deduct ordinary business expenses under IRS 280E, every margin point matters. Diggory's margin intelligence tracks gross margin by product, category, and time period so operators can see where profitability is being lost and act on it.

What is the best reporting and analytics tool for Flowhub or Dutchie?

Diggory is purpose-built as an analytics layer on top of cannabis POS systems like Flowhub and Dutchie. Unlike the static dashboards built into a POS, Diggory lets you ask any question conversationally, learns your store over time, and sends a daily digest email summarizing performance.

How much does Diggory cost and how do I start?

Diggory is offered month-to-month or with an annual prepay discount, and there's a live demo you can access instantly. Onboarding typically happens within a week of signing — credentials in, dashboard live.

🔭 New · Competitive Intelligence Spyglass — by Diggory

See the whole market's pricing —
not just your own shelves.

Spyglass reads your competitive set for you: every category against every competitor, over- or under-market shaded, plus daily price moves, new SKUs, and stockouts across the stores you compete with.

Cross-store comparison by default 5 menu platforms covered A daily competitive brief
Explore Spyglass → Book a call →
Get Started

See it before
you commit.

Get instant access to the live demo — name, email, phone, and the dashboard opens for you. After you've explored it, book a 20-minute call with the founder to see how Diggory lines up with your own POS data.

  • ✓ Instant demo access — see real store data layout in action, and ask the AI assistant about the data in natural language
  • ✓ Founder-led walkthrough on your own data when you're ready
  • ✓ Onboarding within a week of signing — credentials in, dashboard live
  • ✓ Multi-store rollups · Cross-stack: POS + loyalty + METRC
  • ✓ Month-to-month · No contract · Annual prepay discount
  • ✓ Direct line to the founder for your first 30 days as a customer
Ready to dig in?

See it in action

Open the live demo first. Then book time with the founder to walk through your own data.

Or email [email protected] directly.