Merchandising rules for recommendations apply margin/stock constraints, brand exclusions, and diversity controls to recommendation modules.

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Overview

Merchandising rules for recommendations ensure recommendations align with business objectives while maintaining relevance and user experience.

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Rule Types

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Margin Constraints

{
  "rule_type": "margin_constraint",
  "min_margin": 0.15,
  "apply_to": ["all_recommendations"]
}

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Stock Constraints

{
  "rule_type": "stock_constraint",
  "min_inventory": 5,
  "apply_to": ["all_recommendations"]
}

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Brand Exclusions

{
  "rule_type": "brand_exclusion",
  "excluded_brands": ["brand_x"],
  "apply_to": ["similar_items"]
}

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Diversity Controls

{
  "rule_type": "diversity",
  "max_per_brand": 2,
  "max_per_category": 3,
  "apply_to": ["all_recommendations"]
}

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Best Practices

  1. Balance constraints: Don’t over-constrain recommendations
  2. Test impact: Measure how rules affect performance
  3. Maintain relevance: Ensure rules don’t hurt relevance
  4. Update regularly: Adjust rules based on performance