See next week’s demand before it arrives.
Dispensight combines Bayesian forecasting, real-time KPI analytics, and fraud detection — purpose-built for cannabis retail operators.
HMC–NUTS engine · TechPOS native · built for BC cannabis retail
Three pillars, one ecosystem.
Forecasting, fraud defense, and support — each is its own tool, and they’re built to work together.
Dispensight App
Real-time multi-store dashboard with Bayesian forecasting, Prophet time-series modeling, retention analysis, and team-performance tracking.
Open the app →SecureLeaf Fraud API
Hybrid ML and pattern-detection fraud screening trained on 36k+ Canadian SMS and investment-scam samples, at 92%+ accuracy.
Fraud Detection API →Helpdesk & Support
SSE-powered ticketing with a real-time ticket monitor, PostgreSQL persistence, and role-based access — so nothing slips.
Open Helpdesk →Built for the complexity of cannabis retail.
Every feature is shaped by how BC dispensaries actually run — the data sources, the regulations, and the day-to-day.
Bayesian Forecasting
NUTS/HMC sampler running four chains across every KPI. Probabilistic predictions with uncertainty intervals — not false-precision point estimates.
Real-Time KPI Tracking
Near-real-time dashboards for basket size, retention, team performance, and revenue across up to eight store locations.
Security-First Architecture
CSRF protection, IP-based brute-force guards, SSRF mitigations, role-based access control, and full audit logging throughout.
BCLDB Compliance
BI tuned for BC cannabis regulation: shift reconciliation, return monitoring, and discount tracking built to match the rules you operate under.
External Signal Integration
Forecasts fold in weather, local events, and other external signals — so you can see sales swings coming before they land.
TechPOS Native
Ingests CSV exports from your existing POS. No middleware, no manual wrangling — just upload and analyze.
See Dispensight in action.
A live look at the dashboards your team will actually use — from real-time intraday tracking to ML-powered 7-day forecasts.
From raw POS export to a forecast you can act on.
Four steps, and only the first one needs you.
Connect your data
Drop a TechPOS CSV export — no middleware, no manual wrangling. Setup is once.
The engine models demand
A NUTS/HMC sampler fits demand per store and SKU and quantifies the uncertainty.
You get a forecast
Fan charts and prediction intervals show the likely range for the week ahead, not false precision.
Trust builds over time
Every forecast is scored against what actually happened, in the open.
A forecast is only worth trusting if it’s checked.
Dispensight publishes its accuracy openly — real deployments, out-of-sample validation, and honest interval calibration. See the numbers for yourself in the research below.
- Forecasts scored against actuals — error, coverage, and bias reported, not hidden.
- Out-of-sample validation studies you can read end to end.
- Security-first architecture with full audit logging throughout the stack.
Evidence-based cannabis retail intelligence.
Dispensight is backed by published work — forecasting validation, Bayesian methodology, and cross-industry CRM applied to dispensary operations.
Forecasting Engine Accuracy
Real-world results from a live deployment: ~10% average daily error and honest, well-calibrated 80% prediction intervals.
Read →Basket Validation Study
Forecast vs actual — rigorous out-of-sample validation of the Dispensight forecasting engine.
Read →Basket Theta MCMC
Full Bayesian forecast validation using MCMC sampling on real basket-size data.
Read →Bayesian Engines · Convergence Study
Comparing sampler convergence and diagnostic properties across model configurations.
Read →Average Basket Forecast & Validation
A forecast-and-validation walkthrough on average basket size using the theta MCMC report.
Read →Crew Resource Management
From aviation cockpit to cannabis dispensary — a cross-industry CRM framework.
Read →The One-Seat Fallacy
Why single-employee dependency is costing dispensaries more than they realize.
Read →Breaking the Turnover Cycle
CRM principles applied to cannabis retail — retaining staff and customers at once.
Read →Budtender Brain Drain
Mapping talent-loss patterns and their downstream effects on dispensary revenue.
Read →Human Learning & Bayesianism
Connecting cognitive science to how retailers update beliefs about customer behavior.
Read →Standardize or Localize?
Practical implications for multi-location cannabis retail strategy and brand consistency.
Read →Regional vs Local Strategies
Data-driven analysis of when regional standardization outperforms local adaptation.
Read →Ready to see Dispensight in action?
Launch the app to explore your own stores, or book a walkthrough and we’ll show you what it sees in your data.