Customer preference analysis and product recommendations

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

1. 1

   Trigger

   Customer transaction completed

   Customer completes a purchase or logs into the dispensary's loyalty program through the POS system. This triggers the preference analysis workflow.

   DutchieTreez
2. 2

   Action

   Extract customer purchase history

   Retrieve complete purchase history including product categories, strains, potency levels, and purchase frequency from the POS database. Compile behavioral data for analysis.

   TreezFlowhub
3. 3

   Action

   Analyze preference patterns

   Process purchase data to identify customer preferences for product types, THC/CBD ratios, consumption methods, and spending patterns. Generate customer preference profile.

   Dutchie
4. 4

   Decision

   Determine recommendation strategy

   Evaluate if customer is a frequent buyer with established patterns or new customer with limited history. Route to appropriate recommendation engine based on data availability.

   Treez
5. 5

   Action

   Generate product recommendations

   Create personalized product suggestions based on preference analysis, current inventory levels, and similar customer behaviors. Prioritize in-stock items with good margins.

   FlowhubDutchie
6. 6

   Action

   Deliver recommendations

   Send personalized product recommendations via SMS, email, or display on customer's mobile app/loyalty portal. Include special offers and new arrivals matching preferences.

   DutchieTreez
7. 7

   Output

   Track recommendation performance

   Monitor customer engagement with recommendations and resulting purchases. Update preference profiles based on customer response and feedback.

   FlowhubTreez