strategic merchandising

strategic merchandising

Ecommerce Merchandising Services

We build an ecommerce merchandising solution that connects product data, collections, search, filters, and personalization to create shopping experiences that convert more customers.

strategic merchandising

Ecommerce Merchandising Services

We build an ecommerce merchandising solution that connects product data, collections, search, filters, and personalization to create shopping experiences that convert more customers.

Explore The Atelier Approach:

Build a Catalog That Shoppers and AI Can Understand

Merchandising is no longer just about organizing products on a page. Today's catalogs need to help shoppers, search engines, and AI-powered shopping experiences understand what you sell. That starts with well-structured product data, intuitive collections, relevant search results, and personalization that reflects how customers actually browse and buy.

We at Atelier Commerce connect every part of your ecommerce merchandising strategy into one cohesive system, aligning product data, collections, search, filters, and personalization. The result is a catalog that's easier to navigate, easier to understand, and built to convert.

A smarter catalog creates better shopping experiences.

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Explore The Atelier Approach:

Build a Catalog That Shoppers and AI Can Understand

Merchandising is no longer just about organizing products on a page. Today's catalogs need to help shoppers, search engines, and AI-powered shopping experiences understand what you sell. That starts with well-structured product data, intuitive collections, relevant search results, and personalization that reflects how customers actually browse and buy.

We at Atelier Commerce connect every part of your ecommerce merchandising strategy into one cohesive system, aligning product data, collections, search, filters, and personalization. The result is a catalog that's easier to navigate, easier to understand, and built to convert.

A smarter catalog creates better shopping experiences.

Scroll for More

Explore The Atelier Approach:

Build a Catalog That Shoppers and AI Can Understand

Merchandising is no longer just about organizing products on a page. Today's catalogs need to help shoppers, search engines, and AI-powered shopping experiences understand what you sell. That starts with well-structured product data, intuitive collections, relevant search results, and personalization that reflects how customers actually browse and buy.

We at Atelier Commerce connect every part of your ecommerce merchandising strategy into one cohesive system, aligning product data, collections, search, filters, and personalization. The result is a catalog that's easier to navigate, easier to understand, and built to convert.

A smarter catalog creates better shopping experiences.

Scroll for More

The Atelier Perspective

We treat merchandising as the link between your catalog and the customer experience. Product data, collections, search, and personalization work together to improve product discovery, increase relevance, and drive more conversions and a better experience.

01

Build a Strong Catalog Foundation

A filter is only as good as the product data behind it. We organize product taxonomy and attributes first, ensuring search, filters, and merchandising rules work exactly as they should.

02

Merchandise Around Customer Intent

Every category page should reflect how customers shop, not follow a one-size-fits-all template. We organize collections and product placement around real browsing and buying behavior.

03

Create Collections With Purpose

Great merchandising gives products context. Instead of generic bundles, we build collections around occasions, needs, and buying intent to help customers discover more of your catalog.

04

Structure Data for Modern Discovery

Your product data needs to work across search, personalization, and AI-powered shopping experiences. We structure catalogs so products are easy to understand, surface, and recommend.

our Ecommerce Merchandising Services

Merchandising Strategy and Consultation

We define how the assortment should be structured and prioritized, starting with an ecommerce merchandising consultation that maps current catalog logic against customer behavior, category performance, and business priorities before any page gets touched.


Category and Collection Page Optimization

We rebuild collection page logic, sorting rules, and filtering structure so customers move through the catalog with less friction, using product taxonomy and attributes clean enough to support both faceted search and AI-based discovery.


Product Content and Catalog Optimization

We strengthen the product layer itself, like titles, descriptions, attributes, and comparison-ready detail, so the catalog communicates clearly to a shopper comparing options and to a system parsing product data on their behalf.


Visual Merchandising and Promotion Sequence

We manage how the storefront looks and shifts across campaigns, launches, and seasonal moments, keeping visual merchandising aligned to promotional priorities without letting the experience get crowded or commercially unclear.


Search, Filtering, and Personalization

We configure search, filtering, recommendation, and personalization tools to actually reflect customer intent, tuning relevance ranking and personalized ecommerce merchandising logic instead of leaving these platforms on default settings.


PIM and Catalog Governance

We support the product data workflows underneath the storefront, taxonomy, attributes, and governance, so category management and assortment optimization are built on clean, consistent inputs instead of years of accumulated exceptions.

Merchandising Platforms We Support

We support Nosto, Boost, Athos, Algolia, and Plytix, configuring each platform around your catalog structure, customer behavior, and merchandising strategy, so every tool delivers measurable value.

The right tools deliver more when they're built on the right strategy.

Our pricing

Choose the plan that best fits your needs. From a solid foundation to a fully optimized solution.

Foundation

Basic

$4,500

$4,500

/month

For brands whose search and navigation are quietly losing sales.

What's Included:

Monthly query review across the top 250 terms, with zero-result remediation

Up to 25 curated collections kept in order

Up to 20 rule, synonym, and redirect changes per month

Recommendation placements maintained and monitored

Filter and facet logic maintained against the existing attribute set

Monthly reporting on search conversion and revenue contribution

Signature

Most popular

$7,500

$7,500

/month

For growing brands treating discovery as a channel, on a catalog that needs real attribute work.

What's Included:

Everything in the Foundation program

Product catalog enrichment: attribute mapping and population for filters and facets

Twice-monthly query review across the top 1,000 terms

Up to 75 curated collections and up to 50 rule changes per month

Personalization and recommendation tuning against performance

Two merchandising tests per month, plus seasonal and promotional programming

Bespoke

Premium

Custom

Custom

Contact us for more

For established brands running discovery across multiple storefronts or markets.

What's Included:

Everything in the Signature program

Multi-storefront and multi-locale discovery, including translated attributes

Larger catalogs with continuous enrichment

Advanced segmentation and behavioral personalization

Discovery unified with paid search intent and SEO signals

Continued partnership with a dedicated strategist and custom attribution reporting

Programs run on Shopify and BigCommerce with a personalization and merchandising platform partner. If the platform is already in place, we begin inside the monthly engagement and the first cycle is audit, cleanup, and optimization. If it needs to be built from scratch, implementation is scoped as a separate project. Attribute enrichment runs as a rolling program by priority category.

Contact us

Contact us

Scale deliberately. 



Automate intelligently.

Expand confidently.

Where does platform limitation currently restrict your growth trajectory?

FAQ

Everything you need to know about our Strategic Merchandising approach.

What is ecommerce merchandising?

Ecommerce merchandising is how a catalog gets structured, presented, and made discoverable online: collection logic, product content, search and filtering, visual presentation, and increasingly, how well that same data can be read by AI shopping tools.

What is the difference between ecommerce merchandising and visual merchandising?

Visual merchandising in ecommerce covers presentation, like imagery, layout, promotional callouts, and how a collection looks. Ecommerce merchandising is the broader discipline underneath it, including collection structure, product taxonomy, search and filtering logic, and personalization, the systems that determine what a customer sees and in what order, not just how it looks once they get there.

Can ecommerce merchandising improve conversion rates?

Yes, often more directly than a redesign. Cleaner collection logic, better filtering, and product content that answers real comparison questions reduce the friction that causes a shopper to leave without buying. Merchandising fixes tend to show up quickly because they affect pages that already have traffic and intent behind them.

How do AI-powered merchandising tools improve online shopping?

AI merchandising tools personalize collection order, search results, and product recommendations based on real behavior instead of static rules, and they increasingly help structure product data so it reads clearly to AI shopping assistants doing comparison and discovery on a customer's behalf. The tools only work as well as the product data and taxonomy behind them, which is why we treat catalog structure as the foundation, not an afterthought.

How do I choose the right ecommerce merchandising agency?

Look for a team that treats merchandising as connected to search, personalization, and catalog data, not just page design. Ask how they approach product taxonomy and data quality, since that determines if filtering, search, and AI-based discovery actually work.