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genpark-commerce-dynamic-bundling-recommender-skill

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    • A
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      quality
      B
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      Enables analysis of cart items and shopper intent, computation of complementary product affinity scores, enforcement of merchant margin constraints, and synthesis of personalized discount bundles and cross-sell recommendations via MCP.
      7
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    • F
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      quality
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      Enables AI agents to access real co-purchase intelligence and merchant operations tooling from an ecommerce store's order history, including product recommendations, bundle analysis, insights, replenishment forecasts, and merchant ops workflows.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to translate natural-language shopping intent into aggregated multi-merchant item discovery, consolidated cross-merchant carts, and structured transaction checkout payloads. Runs as a zero-dependency, MCP-compatible engine that can also be imported directly as a Python module.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to perform real-time multi-merchant price comparison, coupon stacking, delivery-speed trade-off analysis, stock volatility tracking, and optimal purchase routing across commerce platforms. It exposes these capabilities as an MCP-compatible tool for automated inventory and arbitrage decisions.
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