Case study

Engineering a Smarter Technical Shopify Experience for MM Engineering Services

How Geocommerce structured a complex industrial catalogue around custom product search, a guided Motor Finder, technical metafields, and a Google Merchant Center feed built for specification-heavy products.

Platform
Shopify
Industry
Industrial Engineering
Scope
Search + Data + GMC
Market
UK / Global
MM Engineering Services electric motors and industrial engineering Shopify storefront

Custom Search

Specification-led discovery

Motor Finder

Guided product selection

Metafields

Structured technical data

GMC Feed

Complex product mapping

The challenge

A Technical Catalogue That Could Not Be Treated Like Standard Ecommerce

Electric motor buyers often arrive with engineering requirements rather than a product name. Power, phase, RPM, frame size, efficiency, mounting and part number can all determine whether a motor is compatible.

Specification-Heavy Product Discovery

The storefront needed to help experienced engineers move quickly while also guiding buyers who only knew part of the specification. Conventional keyword search and a flat collection structure would leave too much work to the customer.

One Product Record, Many Commerce Uses

The same technical data also needed to support collection filters, the Motor Finder, product specifications and a structured Google Merchant Center feed without duplicating catalogue work.

  • Search by part number, kW and frame size
  • Filtering across power, phase, RPM, frame and mounting
  • Guided Motor Finder for customers without an exact SKU
  • Multiple Shopify metafields for technical attributes
  • Consistent specification data across PDPs and collections
  • Complex product and variant mapping for Google Merchant Center

Our role

Custom Search, Product Data Architecture & Feed Engineering

Geocommerce designed the Shopify product architecture around the way industrial buyers identify motors, then connected that structure to customer-facing discovery and external product feeds.

Custom Technical Search

Search logic centered on the values buyers actually know — including part number, power output and frame size — so technical products can be found without browsing dozens of categories.

Guided Motor Finder

A step-by-step configurator narrows the catalogue through practical engineering questions, helping customers move from requirements to a suitable motor configuration.

Metafield Architecture

Structured Shopify metafields organize power, horsepower, phase, pole/RPM, frame size, efficiency, mounting, voltage and motor type in reusable product data.

Advanced Collection Filters

Technical attributes are exposed as collection filters so customers can progressively reduce a large catalogue to compatible products.

Complex GMC Feed

Structured Shopify data is transformed into a consistent Google Merchant Center feed, accounting for detailed product attributes and variant-level differences.

Scalable Catalogue Management

A single product-data model supports storefront search, filtering, product specifications and feed output, reducing duplicated catalogue maintenance.

MM Engineering Services guided electric Motor Finder configurator

Product data strategy

Making Shopify Understand Engineering Specifications

The project treats technical attributes as structured commerce data rather than descriptive copy, allowing the same values to drive multiple parts of the customer journey.

  • Power output in kW and horsepower
  • Single / three phase configuration
  • Pole count and rated RPM
  • IEC frame size and motor construction
  • Efficiency rating and voltage
  • Mounting configuration
  • Part numbers and product identifiers
  • Reusable attributes for feeds, filters and product pages

Search & Motor Finder

Product Discovery Designed Around Specifications

MM Engineering's catalogue lets buyers search using technical details such as part number, kW or frame size, while the guided Motor Finder provides a second path for customers who need help translating an application into a motor specification.

01

Start With What the Buyer Knows

Customers can begin with a part number, power requirement or frame size instead of needing an exact product title.

02

Narrow by Engineering Attributes

Specification filters progressively reduce the catalogue using characteristics such as power, phase, RPM, frame and mounting.

03

Guide Uncertain Buyers

The Motor Finder turns a technical purchasing decision into a sequence of manageable choices rather than exposing the full catalogue at once.

04

Surface Relevant Products

The journey moves customers toward a smaller, more relevant set of motors with technical specifications available for final validation.

05

Keep PDP Data Consistent

Structured metafields keep key specifications consistent between discovery, collection cards and detailed product pages.

06

Reuse the Same Data Externally

The underlying product model also supports Merchant Center output, reducing the gap between storefront data and advertising feeds.

"Complex engineering data underneath. A simpler buying experience on the surface."

— Geocommerce Project Team

Development approach

One Structured Product Model, Multiple Commerce Experiences

Instead of maintaining separate data for search, filters, product pages and advertising feeds, the build centralizes technical attributes in Shopify and reuses them across the commerce stack.

  • Shopify
  • Custom Search
  • Motor Finder
  • Product Metafields
  • Technical Product Data
  • Advanced Filtering
  • Google Merchant Center
  • Feed Engineering
  • Variant Mapping
  • Industrial Ecommerce

The result

A Shopify Store Built Around How Engineers Actually Buy

MM Engineering now has a product-discovery framework that handles technical complexity without forcing that complexity onto the customer, while giving the catalogue a scalable data foundation for merchandising and acquisition.

Faster Product Discovery

Specification-led search and filtering help customers move from engineering requirements to relevant products more efficiently.

Smarter Guided Selection

The Motor Finder creates an accessible path for customers who do not already know the exact motor or part number they need.

Scalable Product Data

Structured metafields and feed logic give MM Engineering a reusable product-data foundation for storefront experiences and Google Merchant Center.

Selling technical products?

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