AI Product Recommendation

osop_version: "1.0"
id: "ai-product-recommendation"
name: "AI Product Recommendation"
description: "AI analyzes customer browsing and purchase history to generate personalized recommendations."

nodes:
  - id: "browse_data"
    type: "db"
    subtype: "query"
    name: "Collect Customer Data"
    description: "Pull browsing history, purchase records, and preference signals."

  - id: "ai_analyze"
    type: "agent"
    subtype: "llm"
    name: "Analyze Preferences"
    description: "AI identifies patterns, segments customer, and scores product affinity."
    security:
      risk_level: "low"

  - id: "generate_recs"
    type: "system"
    name: "Generate Recommendations"
    description: "Produce ranked list of products with confidence scores."

  - id: "merchandiser_review"
    type: "human"
    subtype: "review"
    name: "Merchandiser Review"
    description: "Human reviews recommendations for brand alignment and inventory."
    security:
      approval_gate: true

  - id: "push_storefront"
    type: "api"
    subtype: "rest"
    name: "Push to Storefront"
    description: "Deploy approved recommendations to product pages and email campaigns."

edges:
  - from: "browse_data"
    to: "ai_analyze"
    mode: "sequential"
  - from: "ai_analyze"
    to: "generate_recs"
    mode: "sequential"
  - from: "generate_recs"
    to: "merchandiser_review"
    mode: "sequential"
  - from: "merchandiser_review"
    to: "push_storefront"
    mode: "conditional"
    when: "review.approved == true"
  - from: "merchandiser_review"
    to: "ai_analyze"
    mode: "fallback"
    label: "Adjust recommendation criteria"