Search and merchandising

    Make search and merchandising work harder for revenue.

    When shoppers cannot find the right product, paid traffic leaks. We diagnose search, navigation, and merchandising, then implement the tooling — SuggestAPI or otherwise — that matches how your catalog actually sells.

    Discuss search and merchandising

    What we look at

    • Site search relevance, zero-result, and query analysis
    • Collection, facet, and merchandising rules
    • SuggestAPI fit, configuration, and catalog signals
    • Measurement so ranking changes have a baseline

    What you leave with

    • Search and merchandising constraint map
    • Prioritised change list
    • Tooling recommendation, including SuggestAPI if it fits
    • Implementation path and success measures

    Method

    From constraint to measurable change.

    01

    Assess

    Constraint map, baseline, risks, and open questions across the stack, journey, and operating workflow.

    02

    Prioritise

    Ranked opportunity list, business case, delivery path, and success measures — what is worth changing first.

    03

    Deliver

    Accountable workstreams across platform, conversion, integration, operations, and automation.

    04

    Validate

    Results review against the agreed baseline, then the next decision.

    Delivery model

    The right stack for the work

    SuggestAPI can ship on your current platform or as part of Commerce Cloud Solutions. The work starts with findability, not a predetermined product.

    Learn about Commerce Cloud Solutions

    Start with the decision in front of you.

    Bring the constraint. We will clarify what it takes to assess it and the most useful next step.

    Discuss search and merchandising
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