Manufacturing & B2B engineering
Product finders, technical catalogs and quote pipelines — search that matches how buyers actually specify.
What Manufacturing & B2B actually demands.
B2B buyers don't browse. They arrive with a specification — a connector type, a temperature range, a bandwidth, a compliance mark — and they need the site to cut a few thousand SKUs down to the three that qualify. Consumer-style keyword search can't do that, and neither can a PDF catalog behind a form. The filter set is the product.
The catalog itself almost never lives on the website. It sits in an ERP, a PIM, a distributor feed or a spreadsheet a product manager guards with their life — and it should stay there. What the site shows is a read model of that source, synced through an API, versioned, and rebuilt without anyone re-keying a spec sheet. Two copies of the truth is how a catalog rots.
And the sale doesn't close in a checkout. It closes in a quote, a sample request, a datasheet download, a conversation with a distributor. The website's job is qualification: get the buyer to the right part, capture who they are and what they need, and route it somewhere a human will actually see it. Long cycles are fine — silent ones aren't.
What we build here.
Product finders, catalogs and quote/sample pipelines.
Configurable product finders
Category-specific filtering the product team composes without a developer. Attributes, ranges, units, dependencies and ordering are configuration — not a deploy. We built exactly this for Pulse: a drag-and-drop designer where the filter set for each category is authored and published by the people who know the products.
- Per-category filter schemas with numeric ranges and units
- No-code designer for attribute sets and result layouts
- Shareable pre-filtered URLs for sales and support threads
- Fast narrowing on large SKU counts, indexed at the query level
Technical catalogs and spec data
A data model that survives real product lines — families, variants, options, replaced-by relationships and the attributes that differ per category. Spec tables, datasheets, certifications and drawings sit on the product record rather than in a folder somebody has to remember to update.
- Family / variant / option modelling with per-category attributes
- Datasheet, drawing and certification assets on the record
- Cross-sell, accessory and supersession links between parts
Quote, sample and RFQ flows
A cart that collects parts and quantities and turns them into a quote, a sample request or a support ticket — with the buyer's context attached. Every submission lands in a system with an owner and a status, not in a shared inbox where it becomes somebody's afternoon.
- Multi-line quote and sample carts with per-part notes
- Routing by region, product line or distributor
- Structured records in your CRM instead of raw email
ERP, PIM and CRM integration
The source system stays the source of truth. We sync through its API, reconcile on a schedule, and keep the site a derived read model — so a discontinued part disappears everywhere and a new price doesn't need a content editor. Where an API doesn't exist, we build the import path and the validation around it.
- Scheduled or event-driven sync from ERP, PIM or distributor feeds
- Field mapping, unit normalization and validation on ingest
- REST and webhook contracts documented before anything is built
Performance, schema and technical SEO
Catalog pages are the ones that rank, and the ones most likely to be slow — long spec tables, faceted URLs, thousands of near-identical templates. We treat 90+ PageSpeed and Core Web Vitals as delivery criteria, and we make the crawl surface deliberate rather than accidental.
- Product and breadcrumb schema on catalog and detail pages
- Canonical and index rules for facet combinations worth ranking
- Core Web Vitals work on templates, not just the homepage
Work we've shipped in this space.
Real engagements, picked because they were hard.
How we'd engage.
Custom Software & SaaS
Business-critical platforms, engineered MVP-to-scale.
Web & CMS
A decade of WordPress, Shopify and HubSpot engineering. Performance is the feature.
Manufacturing & B2B, answered.
That's the whole design. Filter sets are per category with typed attributes — numeric ranges, units, enums — so a buyer narrows thousands of SKUs by port count, reach or jacket rating. Keyword search can't express a specification; a filter schema can.
In your ERP or PIM. The site holds a derived read model synced through the source system's API, so a discontinued part disappears everywhere and a price change needs no content editor. Two copies of the truth is how a catalog rots.
As structured records with an owner and a status, not free text in a shared inbox. A buyer collects parts into a cart, submits it as a quote, sample or support request, and it routes by region, product line or distributor with the filter context attached.
That's why crawl strategy gets decided rather than defaulted. Product and breadcrumb schema on catalog and detail templates, canonical and index rules per facet combination, and Core Web Vitals treated as delivery criteria on templates, not just the homepage.
Scope follows category count, source-data quality and whether quote routing is included. Most run project-based with milestone billing; continuous catalog work suits a dedicated team. Briefs sent on a weekday get a reply within one business day.
Related.
Building in Manufacturing & B2B?
Share the brief and we'll reply within one business day — from a senior engineer, not a sales bot.