1. Parametric / Part Search
Can buyers filter by specs from your menus, your search box and a Google landing page? Engineers know the values they need, not the part number. Filters that work everywhere keep them on your site.
A unified platform differs from a fragmented technology stack through shared data architecture. In EETech Commerce, product information, parametric search, quoting workflows, and storefront presentation synchronize across a single attribute schema, so updates appear everywhere at once and catalog filters stay accurate.
Enterprise PIM that fills in missing product data automatically.
Most enterprise commerce platforms offer comparable feature checklists. The decisive differentiator is operational data integrity: when a specification is updated in the PIM, that change must synchronize across search indexes, product detail pages, datasheet tables, structured SEO data, and distributor feeds without latency or manual intervention.
Assembling a tech stack from disparate point solutions creates continuous integration overhead. While separate PIM, search, and ecommerce engines can be connected, maintaining ongoing consistency across disparate databases inevitably leads to synchronization gaps, stale catalog filters, and compromised buyer experiences. EETech Commerce guarantees real-time attribute consistency across every touchpoint.
Explore the six foundational capabilities engineered specifically for technical commerce.
Can buyers filter by specs from your menus, your search box and a Google landing page? Engineers know the values they need, not the part number. Filters that work everywhere keep them on your site.
Can buyers see stock at the moment they choose a part? Showing live distributor stock on your page keeps the decision with you.
Can buyers send a whole parts list as one request? Keeping the list, quantities and context together gives your team a qualified project, not a generic enquiry.
Are sample requests tracked separately from pricing requests? A sample request is the earliest sign of a design-in, so it is worth tracking on its own.
Can a buyer without an account place an order? A simple checkout captures prototype and small orders, and the relationship that follows.
Does each part have its own page, with specs that Google and AI tools can read? That is how your parts show up when buyers research online.
Core infrastructure specifications and architectural standards.
Layer | Approach | Why it was chosen |
|---|---|---|
Deployment | Single-tenant instance, isolated database | Your records are not co-mingled. A misconfiguration elsewhere is not your exposure. |
Architecture | API-first and headless | The storefront is a client of the same API your integrations use, so nothing is a special case. |
Search | Purpose-built parametric index with SI-normalised values | Unit equivalence has to happen at index time. Bolting it on at query time is where generic search fails technical catalogs. |
Product data | Native PIM with attribute governance and enrichment | Removes the integration tax of licensing a separate PIM and wiring it into everything. |
Integrations | Pre-built endpoints for SAP, NetSuite, Salesforce, HubSpot | Integrations are usually the real timeline driver in a replatform, so they are scoped up front rather than discovered. |
Content | Block-based builder with programmatic SEO | Marketing ships without a release window. One template change propagates across every product page. |
Pre-built connectors and open APIs are available for leading ERP, CRM, and PLM systems. The integration architecture is fully documented and extensible, allowing engineering teams to configure and maintain bespoke workflows with complete transparency.

Engineers select by attributes, not by category tree.

Where an engineer's parts list becomes a sales opportunity.

Product specs laid out so engineers and AI assistants can both read them.
Request a comprehensive capability scorecard for your technical catalog. Receive objective ratings and specific architectural observations within five business days.