This page explains the practical impact of Dispensight on a dispensary’s day‑to‑day: what changes on the floor, which KPIs move, and how teams save time. It’s marketing, yes - but grounded in measurable, repeatable outcomes from real store operations.
Staff prompts focus on retention, UPT, and basket size. Managers get live coaching cues, not end‑of‑day post‑mortems.
Forecasts (incl. weather effects) reveal traffic spikes. You align lunches and coverage to demand rather than guesswork.
Velocity + attach‑rate insights flag upcoming gaps so you reorder earlier and push substitutes intentionally.
Playbooks convert insights into concrete actions per role (GM/ASM/budtender/inventory) so everyone rows in sync.
Near‑real‑time dashboards replace spreadsheet wrangling. Daily recaps and PDF exports ship with one click.
Benchmarks expose what’s working in Store A that Store B can adopt. Roll out wins quickly with shared scorecards.
Note: Dispensight’s forecasting blends Bayesian/ML approaches and accounts for exogenous variables like weather and weekday effects. Interval coverage and residual profiles are monitored to prevent drift and overfitting.
We forecast demand and then translate it into role‑specific actions - so teams know what to do, not just what happened.
Built around real shift rhythms (open/mid/close) with fast recaps and coaching cues that fit on a phone screen.
Daily MAPE/RMSE, interval calibration, and residual audits keep models honest. Forecasts are only useful if they’re provably accurate.
Point Dispensight at your POS/export PDFs or secure feeds. We support multi‑store setups.
Baseline a few weeks of history to tune forecasts for seasonality, weather, and local patterns.
Start shift coaching and inventory alerts. Export daily/weekly PDFs for leadership in one click.
Typical setup uses read‑only access to exports; we avoid writing into your POS. Data stays scoped for analytics only.
Designed with Canadian dispensaries in mind. Dispensight supports privacy‑respecting workflows (e.g., hashed IDs for cohorting) and aims to align with PIPEDA/PIPA principles on data minimization and purpose limitation. Ask us about your province‑specific requirements.
We continually track:
When you view the live analysis, you’ll see these validations right beside the numbers they’re judging.