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Commerce & Product Data

Make your product data work harder.

We build product information and commerce systems for manufacturers, distributors and ecommerce businesses with complex catalogs.

PIM. AI enrichment. Ecommerce. Syndication. SEO. All connected around one source of truth.

Talk to us See our work

Your products shouldn't live in spreadsheets.

As catalogs grow, product information gets fragmented.

Specifications live in Excel. Images sit in folders. Descriptions are copied between systems. Ecommerce teams maintain their own versions. Distributors ask for different formats. Marketplaces require different feeds.

Every new channel creates more work.

  • The same product described differently in three places
  • Launches delayed waiting on specs and images
  • Manual reformatting for every marketplace or distributor
  • No one certain which version is correct
  • Attributes that exist for some products but not others
  • Bulk changes that mean editing thousands of rows by hand

We build systems that change that.

Who we work with

The work looks different depending on where product data comes from and where it has to go.

01

Manufacturers

Deep technical catalogs, engineering specifications, variants and product families that need structure before they can be sold anywhere.

02

Distributors

Large catalogs assembled from many supplier feeds, each arriving in a different format, quality and level of completeness.

03

Ecommerce businesses

Growing storefronts where the catalog has outgrown the platform's native product management.

A better foundation for your product catalog.

We implement and engineer PIM systems that give your organization a structured, centralized product information layer.

A PIM is only as good as the model underneath it. Before tooling, we work out what a product actually is in your business — how families, variants, bundles and relationships behave, which attributes matter to which categories, and what has to stay true across every channel.

From there we build the structure, migrate existing data, clean what's inconsistent, and connect it to the systems that need it.

One source of truth. Multiple destinations.

What this covers

  • PIM implementation
  • Custom PIM development
  • Product data migration
  • Data cleansing
  • Taxonomy and attribute design
  • Product relationships
  • Variant management
  • Workflow design
  • ERP integration
  • Ecommerce integration
  • API development

Make your product catalog AI-ready.

AI is changing how products are discovered, searched and purchased.

But AI is only as useful as the information it can understand.

Most catalogs are not ready for this. Attributes are missing or inconsistent, categories overlap, descriptions were written for a different channel years ago, and units and formats vary between suppliers.

We use AI where it genuinely helps — extracting attributes from supplier documents, normalizing values across sources, proposing categorizations and filling gaps at a scale that isn't realistic by hand. Output is reviewed against your rules rather than trusted blindly.

Better data creates better AI experiences.

Where AI earns its place

  • Extract product attributes
  • Normalize specifications
  • Categorize products
  • Generate product content
  • Identify missing information
  • Improve descriptions
  • Enrich large catalogs
  • Prepare structured data for AI systems

Your PIM should power your store — not compete with it.

We build and migrate ecommerce platforms while keeping product information at the center.

Shopify

Store development, migration, integrations and PIM connectivity.

  • Theme and storefront development
  • Catalog and variant modelling
  • Migration from legacy platforms
  • App and API integrations

WooCommerce

Custom ecommerce systems built around WordPress and your business requirements.

  • Custom plugin development
  • Complex pricing and catalog rules
  • Performance work on large catalogs
  • ERP and PIM connectivity

BigCommerce

Scalable commerce implementations and product-data integrations.

  • Implementation and setup
  • Catalog architecture
  • Headless and API builds
  • Product data pipelines

One catalog. Every channel.

Your product information shouldn't have to be recreated for every destination.

Every channel wants something slightly different — its own field names, category tree, image rules, units and required attributes. Handled manually, each new channel adds permanent overhead.

We build syndication as a mapping problem rather than an export problem: your catalog stays canonical, and each destination gets a transformation and validation layer of its own. Changes flow out on a schedule or on update, with failures surfaced rather than silently dropped.

Update once. Distribute everywhere.

Destinations we build for

  • Ecommerce stores
  • Marketplaces
  • Distributor portals
  • Dealer networks
  • CSV / JSON feeds
  • APIs
  • Custom destinations

Product SEO starts with product data.

Search visibility isn't just about publishing more content.

It starts with the structure underneath it.

Thin, duplicated or inconsistent product pages are usually a data problem wearing an SEO costume. If attributes are missing, category logic is arbitrary or the same copy is repeated across variants, no amount of content work fixes it at the root.

This matters more as discovery shifts toward AI-driven answers, which lean on structured, machine-readable product information rather than page copy alone.

What we build toward

  • Clean product attributes
  • Logical taxonomy
  • Structured product information
  • Search-friendly content
  • Product schema
  • Category architecture
  • Internal linking
  • Technical ecommerce SEO

How an engagement usually runs

Most product data projects follow the same shape, whether they take a few weeks or several months.

01

Audit

We look at what you have — catalog, sources, formats, channels and the rules people keep in their heads.

02

Model

We design the taxonomy, attributes and relationships, and agree what good data means for your business.

03

Build & migrate

We implement the system, move existing data in, clean it, and connect the integrations.

04

Operate

We hand over a system your team can run, and keep improving the automation around it.

Common questions

Do we need a PIM, or can our ecommerce platform handle it?
If you sell on one channel with a modest catalog, your platform is often enough. A PIM starts to pay off when you have multiple channels, many attributes per product, several people maintaining data, or supplier feeds arriving in different formats. We'll tell you honestly if you don't need one yet.
Can you work with a PIM we already have?
Yes. We implement, extend and integrate existing systems as often as we build new ones. The starting point is the data model, not the software licence.
What happens to our existing product data?
It gets audited, mapped and migrated. Cleansing is usually part of the work — inconsistent units, duplicated values, missing attributes and orphaned records tend to surface during mapping.
How do you use AI without introducing errors?
AI proposes, rules decide. Enrichment output is validated against your attribute definitions and reviewed before it becomes canonical. We treat it as a way to draft at scale, not as a source of truth.
Do we own what you build?
Yes. We build architectures that give businesses control over their own data and infrastructure. That principle applies to the code and the data model as much as the hosting.

Have a product data problem?

Tell us what's happening today. We'll help you map out a better system.

Start a conversation hello@segen-tech.com