AI Product Recommendation

Retail

Customer browses products, AI analyzes purchase history and preferences, generates personalized recommendations, merchandiser curates final selection.

agenthumandb
Why OSOP matters here

Every recommendation is a decision. OSOP tracks what data the AI used, which model scored the products, and whether the merchandiser adjusted the results — enabling A/B testing of recommendation strategies.

Workflow Steps (5)

1
Collect Customer Data
db
2
Analyze Preferences
agent
3
Generate Recommendations
system
4
Merchandiser Review
human
5
Push to Storefront
api

Connections (5)

Collect Customer Data→Analyze Preferencessequential
Analyze Preferences→Generate Recommendationssequential
Generate Recommendations→Merchandiser Reviewsequential
Merchandiser Review→Push to Storefrontconditionalreview.approved == true
Merchandiser Review→Analyze PreferencesfallbackAdjust recommendation criteria
5
Steps
5
Connections
5
Node Types
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