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Personalised Product Recommendation

Personalised Product Recommendation

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Personalised Product Recommendation

This AI recommendation specialist agent task generates personalised product suggestions. The task configuration outlines how to:

  • Analyse customer interaction data and purchase patterns

  • Evaluate browsing behaviour and engagement metrics

  • Identify individual preference patterns and interests

  • Generate contextually relevant product recommendations

  • Balance familiar recommendations with discovery options

  • Adapt suggestions based on seasonal trends and associations


As a modular task, it integrates with e-commerce platforms and customer data systems, enabling AI agents to execute sophisticated recommendation generation within existing retail workflows. The task specification includes outputs for preference analysis, product matching, and personalised suggestions, adaptable across various retail contexts and product categories.

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Example outputs:

{
  "top_recommendations": [
    "Wireless Noise-Cancelling Headphones",
    "Smart Fitness Tracker",
    "Portable Power Bank",
    "Ergonomic Laptop Stand",
    "Blue Light Blocking Glasses"
  ],
  "recommendation_rationale": "These recommendations are based on the customer's recent purchases of tech accessories, browsing history focused on productivity tools, and interest in health-related gadgets.",
  "customer_preferences": [
    "Tech-savvy",
    "Health-conscious",
    "Productivity-focused",
    "Quality-oriented",
    "Early adopter of new technologies"
  ],
  "browsing_patterns": "The customer frequently browses tech review sites, spends significant time on product comparison pages, and often returns to view wireless audio devices and fitness wearables.",
  "category_affinities": "{\"Electronics\": \"Very High\", \"Health & Fitness\": \"High\", \"Home Office\": \"Medium\", \"Books\": \"Low\", \"Clothing\": \"Very Low\"}",
  "cross_sell_opportunities": [
    "Premium Smartphone Case",
    "Wireless Charging Pad",
    "Subscription to Meditation App",
    "Ergonomic Office Chair",
    "Tech Organizing Travel Bag"
  ],
  "seasonal_recommendations": [
    "UV-protective Sunglasses",
    "Portable Bluetooth Speaker",
    "Waterproof E-reader",
    "Quick-dry Athletic Wear",
    "Compact Camera for Travel"
  ],
  "trending_items": [
    "Foldable Smartphone",
    "AI-powered Home Assistant",
    "Eco-friendly Water Bottle with Smart Lid",
    "Augmented Reality Glasses",
    "Ultra-light Laptop"
  ],
  "personalization_score": "85",
  "recommendation_diversity": "Medium"

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Social Media Sentiment Tracker

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Call Transcript Analysis

Call Transcript Analysis