Dispensary CRM

A dispensary CRM should help operators close customer lifecycle loops.

Your budtenders know the regulars by name. Your records should too. BakedBot ties customer capture to order history and sorts people into groups that mean something on the floor: the Friday-night regular, the first-of-the-month stock-up, the one who has not been in since August. Campaigns built from those groups wait for your go-ahead, and the evidence sits next to each one, so you can see what to do next and why it is worth doing.

Historical operator proof, without unsupported claims

The May 2026 Thrive Syracuse pilot snapshot included customer capture, Alleaves-connected data, campaign approvals, retention analysis, and competitive intelligence. The lifecycle model records measurable evidence instead of treating activity as automatically generated revenue.

What the BakedBot CRM operating layer does

Permissioned customer capture

QR and tablet Check-In help operators build customer relationships they can activate across compliant channels.

Lifecycle segmentation

Use recency, frequency, spend, product preference, and data-quality signals to prepare useful customer cohorts.

Your approval comes first

Prepare welcome, repeat-purchase, and win-back campaigns without silently sending messages on the operator’s behalf.

Neon-backed evidence

Track qualified captures, first purchases, repeat purchases, recoveries, exclusions, disputes, and refunds in one ledger.

Compliance in the workflow

Consent, state rules, license risk, and operator approvals stay attached to customer-facing actions.

Evidence before commercial review

Review what BakedBot diagnosed, built, launched, and measured before private ongoing terms are presented.

BakedBot vs. traditional CRM onboarding

DecisionBakedBotTraditional path
Starting pointUseful diagnosis and prepared assetBlank account and setup forms
Customer ownershipPermissioned first-party captureOften dependent on third-party audiences
ExecutionAgents write the first draft. You clear it, or it never goes outManual sends or opaque automation
Revenue evidenceModeled, attributed, verified, disputed, excluded, refundedTop-line campaign claims
Commercial pathPrivate review after measurable evidencePublic plan selection before value

Start with the data reality inside your store.

New operators build customer capture. Existing operators connect usable data. Fragmented-data operators repair and capture in parallel. Every path starts with work the store can use that week. A paid plan enters the conversation only when you bring it up.