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Mercator storefront
Commercial foodservice · a new brand launched on Shopify

Mercator equipment commerce, built to spec.

New Brand launched online
Native Metafield spec sheets
NetSuite ERP-aligned catalog
↳ The brief

Asbury Worldwide was preparing to introduce Mercator, a new commercial foodservice equipment brand serving restaurants, hospitality businesses, dealers, and distributors with refrigeration, cooking equipment, ice machines, food prep, and concession products. The brand needed more than a marketing website: a scalable platform for a technically complex catalog, product data pulled clean from multiple sources, and alignment with the company's NetSuite environment. Uncap built the Shopify storefront that launched the brand, with specs in native metafields, a Matrixify-transformed catalog, and advanced search and filtering.

01 The case

Built for the
way pros buy.

01 / 04
01 A brand being born

The Who

Mercator is the commercial foodservice equipment brand of Asbury Worldwide, serving restaurants, hospitality businesses, dealers, distributors, and other professional buyers. Its assortment spans commercial refrigeration, cooking equipment, ice machines, food preparation equipment, and concession products, where every purchase depends on accurate technical information: model specifications, dimensions, configurations, and supporting documentation.

02 More than a marketing site

The Problem

Launching the brand required more than a marketing website. Mercator needed a scalable ecommerce platform capable of presenting a technically complex equipment catalog and supporting real product discovery, while product data arrived from multiple sources with inconsistencies in SKU and pricing records, and the new storefront had to align with Asbury Worldwide's existing NetSuite environment.

03 Specs as structured data

The Solution

Uncap built a Shopify storefront organized around intuitive equipment categories, with technical specifications and supplemental documentation held in native Shopify metafields instead of unstructured descriptions or page-builder apps. Using Matrixify and structured data mapping, the team transformed product information into Shopify-compatible records, resolving SKU discrepancies, incomplete attributes, missing prices, and imagery. Advanced search and filtering help buyers navigate by category and product characteristics, and, working alongside Asbury Worldwide and Oracle, Uncap supported aligning Shopify records with NetSuite through SKU reconciliation, store assignments, and pricing validation.

04 Launched and growing

The Results

Mercator launched its Shopify storefront and entered the market with a dedicated digital commerce channel: a structured, scalable catalog, metafield-powered specifications, improved search and filtering, more consistent product information, and a stronger foundation for connected commerce operations with NetSuite. The client awarded Uncap a five-star Shopify partner review, and Uncap continues improving product pages, mobile usability, and merchandising as the store expands.

02 Storefront 9 SCREENS · DESKTOP · COLLECTION · PDP
Mercator storefront screen 1
Mercator storefront screen 2
Mercator storefront screen 3
Mercator storefront screen 4
Mercator storefront screen 5
Mercator storefront screen 6
Mercator storefront screen 7
Mercator storefront screen 8
Mercator storefront screen 9
03 Unified SHOPIFY · METAFIELDS · MATRIXIFY · NETSUITE

Unified
Commerce

Structured Spec Data
Advanced Search & Filters
Catalog Transformation
NetSuite Alignment
Mercator mobile product page
↳ Stack & integration
Uncap QuotesUncap Quotes
Searchanise
Judge.me
Matrixify
04 Brand MERCATOR · PALETTE · UI
Mercator brand page
Mercator storefront detail
Mercator storefront detail
Mercator storefront detail
Mercator storefront detail
05 Common questions

Answers, before you ask.

Uncap designed and developed the Shopify storefront that launched Mercator, Asbury Worldwide's new commercial foodservice equipment brand: a modern commerce experience with structured technical product data, advanced search and filtering, and alignment with the company's Oracle NetSuite environment.

Commercial refrigeration, cooking equipment, ice machines, food preparation equipment, and concession products, serving restaurants, hospitality businesses, dealers, distributors, and other professional buyers.

Native Shopify metafields organize model specifications, dimensions, configurations, and supporting documentation, so product pages display detailed specs without large unstructured descriptions or page-builder apps, and the catalog stays maintainable as products and attributes are added.

Using Matrixify and structured data-mapping processes, Uncap transformed product information from multiple sources into Shopify-compatible records, addressing SKU discrepancies, incomplete technical attributes, missing prices, and product imagery.

Working alongside Asbury Worldwide and Oracle, Uncap supported aligning Shopify product records with the company's NetSuite environment, including SKU reconciliation, store assignments, and pricing validation, establishing a foundation for connected commerce operations.

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