Marqo’s merchandising platform gives ecommerce teams complete control over product discovery, ranking, navigation, and analytics. Note: All user interaction data (searches, clicks, purchases, browsing behavior) is automatically collected by the Marqo pixel, so no manual data submission is required for any of the features described below.

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Visual Merchandising Dashboard

Marqo provides a comprehensive visual merchandising dashboard that gives you full control over your product discovery experience. While Marqo is AI-driven and automatically optimizes rankings based on customer behavior, you maintain complete merchandising and business control through intuitive, UI-based tools. The dashboard enables you to:
  • Add explicit rules where needed: Boost/bury products, pin items to specific positions, exclude products, and create scheduled rules - all through simple drag-and-drop or slider-based interfaces
  • Real-time visibility: See exactly how your merchandising rules affect search results and collections with configurable result cards and detailed explanations
  • Strategic flexibility: Make strategic decisions for promotions, seasonal campaigns, or business priorities while letting AI handle the rest automatically
Marqo gives you the best of both worlds: intelligent AI that learns and adapts continuously, combined with full merchandising control when you need to make strategic decisions. The AI handles the heavy lifting, and you maintain complete business control. At a glance, Marqo merchandising includes:
  • Hands-on ranking controls: boost/bury (slider-based), pinning (drag-and-drop or pin button), exclusions, and scheduled rules (Enterprise)
  • LLM based ranking and relevance & personalization: LLM models trained specifically on your customer data, learning patterns that generalize to new products and queries, plus user-level re-ranking
  • Facets & navigation: dynamic facets, facet management, and navigation optimization
  • Catalog intelligence: attribute enrichment, synonyms/taxonomy tools, variant handling, and compliance rules
  • Experimentation & measurement: A/B tests, holdouts, power analysis, feature flagging, and offline evaluation
  • Analytics & reporting: search analytics, funnels, revenue attribution, rule impact, and content analytics
  • Explainability & auditing: “why did this rank?”, rule trace, model insights, and change logs
  • Operations & governance: roles, approvals, workflows, multi-store/multi-region management

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Core Capabilities

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Merchandising Controls

Take direct control over search rankings with boost/bury (slider-based), pinning (drag-and-drop), exclusions, and scheduled rules.

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Ranking Strategy

Optimize relevance with LLM based ranking and relevance (LLM models trained on your data), personalization, intent handling, and multi-objective optimization.

Manage facets and optimize navigation experiences.

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Advanced Features

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Experimentation

Run A/B tests, measure incrementality, and validate changes with comprehensive testing tools.

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Analytics & Reporting

Track performance, measure impact, and understand user behavior with merchant-friendly analytics.

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Explainability

Understand why products rank where they do with result explanations, rule traces, and change logs.

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Operations & Platform

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Catalog Intelligence

Improve data quality with attribute enrichment, synonym management, and deduplication.

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Operations & Governance

Manage workflows, permissions, and multi-store configurations.