Skip to main content

Product Recommendation Retail

Personalized product recommendations based on behavior

Complexity: Moderate | Duration: 5-15m | Category: Industry/Retail Ecommerce

Tags: recommendation personalization product retail

Workflow Diagram​

Steps​

Step 1: Analyze behavior​

Agent: data

analyst - Review browsing history

Step 2: Build profile​

Agent: personalization

specialist - Create customer profile

Step 3: Generate recommendations​

Agent: personalization

specialist - Apply algorithm

Step 4: Filter results​

Agent: personalization

specialist - Remove purchased items

Step 5: Rank suggestions​

Agent: personalization

specialist - Order by relevance

Step 6: Display recommendations​

Agent: personalization

specialist - Show to customer

Step 7: Track engagement​

Agent: data

analyst - Measure click-through

Usage​

To execute this workflow:

/workflow industry/retail-ecommerce/product-recommendation-retail.workflow

See other workflows in this category for related automation patterns.