Catalog, search & product information

Product discovery & ecommerce merchandising

Help shoppers find the right products and understand their options.

We help DTC brands and retailers organize their catalogs, shape navigation and search, and present useful product information. Connect the shopping experience with the data and merchandising rules behind it.

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Can shoppers find what your catalog has to offer?

The starting point may be the shopping interface, the product data, or the rules connecting them. We review those layers together before proposing changes.

  • Categories follow internal language

    Review how your products are grouped and whether shoppers recognize the paths available to them.

  • Search misses useful options

    Investigate the relationship between customer queries, product data, and the results shown.

  • Filters do not help comparison

    Choose attributes that matter within each category and make them usable on mobile.

  • Product information varies across channels

    Define the information, formats, and responsibilities needed to keep selected listings useful and consistent.

Organize the paths from browsing to product selection.

Commercial priorities with clear rules: balance product relevance with availability, campaigns, and the business priorities you choose. We document where merchandising rules apply, who maintains them, and what the team will review.

  • Catalog taxonomy and navigation

    Define categories, labels, and relationships that connect the catalog with how customers look for products.

  • Site search and results

    Review search entry points, customer vocabulary, result presentation, and useful recovery when a query finds no match.

  • Filters and comparison attributes

    Select the attributes shoppers need to narrow their options and compare relevant differences.

  • Merchandising and recommendations

    Define how products are selected, ordered, promoted, and related across the agreed shopping surfaces.

Give the experience a usable product data foundation.

Categories, filters, search, and listings depend on the information behind each product. Define the structure and ownership of that information before adding another tool.

Product information and content: the attributes, descriptions, and assets customers need to understand and compare products. PIM planning maps product families, fields, validation rules, and editorial responsibilities around the catalog.

PIM supports product information. Connections need their own scope: the proposal identifies any configuration, migration, or integration work and who is responsible for implementing it.

A retailer listing, a marketplace page, and a shopping feed can require different fields and formats. We define the mappings, content rules, and review steps for the destinations included in your project.

Select the tools around the catalog and the experience.

We review your current setup before recommending a change. These examples show the different roles software can play; the project scope defines which tools and implementation work are included.

  • Search and merchandising

    Algolia · Nosto · Athos Commerce

  • Product information management

    Akeneo · Salsify · Pimcore

  • Feeds and multichannel listings

    Rithum · Feedonomics · Channable

A defined process, from catalog review to delivery.

Measurement accompanies the work throughout, helping the team understand the experience and decide what to investigate next.

  1. Discover

    Review the catalog, shopping journeys, customer language, available data, and current systems.

  2. Define

    Agree on taxonomy, priority attributes, merchandising rules, data requirements, and the selected implementation scope.

  3. Develop

    Create the agreed structures, content, and experience designs. Configure selected changes or coordinate them with the implementation team.

  4. Deliver

    Review the outputs against the agreed requirements and hand over rules, documentation, and responsibilities.

Clear structures, rules, and responsibilities.

Measure the experience you actually changed. Define the questions and measures before implementation, then review product discovery behavior alongside availability, traffic, and commercial context.

  • Catalog and attribute structure: the agreed taxonomy, product fields, values, and relationships for the selected catalog scope
  • Discovery experience specifications: navigation, search, filters, and merchandising decisions with the requirements needed to implement them
  • Product data and channel plan: content requirements, field mappings, validation rules, and ownership for the selected systems and destinations
  • Review and handover: acceptance checks, remaining issues, maintenance responsibilities, and measurement priorities

From the Blog

Further reading.

Articles from our blog on the topics this page covers.

View all articles

Product discovery questions

It means helping customers explore a retail catalog, find relevant options, and understand product differences. The work connects categories, navigation, search, filters, merchandising, and product information.

Not every catalog needs a separate PIM. We review product complexity, channels, teams, and current systems before defining the data structure and assessing whether another tool is useful.

We define the product data structure, workflows, and channel requirements, then scope the implementation with your team. Any software configuration, migration, or integration included in the project is specified in the proposal.

We start by reviewing the current setup. The recommendation identifies what can be improved within it, where the experience or data needs work, and which technical changes require a separate scope.

The product data and content plan can support selected marketplace listings and retailer destinations. We define channel-specific requirements and coordinate the publishing and integration work included in the project.

Product discovery focuses on finding and choosing products within the catalog. SEO addresses discovery through search engines. CRO investigates improvements to the buying experience and evaluates selected changes. The services share relevant product information and measurement.

No. It can begin with useful categories, editorial selections, and explicit business rules. Personalized or AI-powered experiences are assessed when the use case, data, and implementation scope support them.

The scope depends on catalog complexity, product data, shopping surfaces, channels, content requirements, and technical work. We review those needs before preparing a proposal.

Where does your catalog need a clearer path?

Tell us about your products, current systems, and the parts of the shopping experience that need attention.

We will help define the work worth prioritizing.

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