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Faster Product Data, Fewer Legacy Limits

Zeeman textielSupers B.V. is a leading European clothing and apparel retailer, operating more than 1,300 physical stores across Europe alongside e-commerce and a mobile app, with a catalogue of around 40,000 SKUs. As customer expectations shifted toward personalisation and seamless shopping across channels, Zeeman needed a flexible, future-proof platform to support growth, but its outdated legacy infrastructure was limiting innovation and slowing product content localisation.

zeeman

SNAPSHOT

The Company At a Glance

Company

Zeeman textielSupers B.V.

Industry

Retail

Sector

Clothing & Apparel

Region

Netherlands

Sales channel

Physical stores (1,300+ across Europe), e-commerce (zeeman.com), mobile app

Scale

40k SKU’s

Implementation partner

Lab Digital

The impact

Top Results

Localisation speed improved

Localisation time dropped from six weeks down to about one week, removing a major bottleneck in time to market.

2x Catalogue Growth

The PIM catalogue grew from roughly 20,000 migrated SKUs at launch to around 40,000 SKUs today.

Improved Data Quality

Product information quality improved across the catalogue, with fewer duplications and manual errors.

Personalised Customer Journeys

Structured product information and contextual data layers laid the foundation for personalised experiences across touchpoints.

Future Ready Architecture

A MACH certified, headless setup positioned Zeeman to scale efficiently into new markets and platforms.

Reduced Manual Work

Automated enrichment and workflows freed up the team to focus on innovative projects instead of manual data tasks.

THE CHALLENGE

A Legacy System on Borrowed Time

Zeeman's legacy tech stack had become outdated and was limiting innovation, slowing product content localisation, and complicating integrations with logistics, payments, and other partners.

  • Localisation took up to six weeks, creating a major bottleneck in time to market.

  • Complex partner integrations across payments, logistics, and other systems added friction.

  • Rising customer expectations for personalisation required more flexibility than the legacy setup could support.

  • The outdated infrastructure needed to be replaced with a flexible, future proof platform to support growth.

OUR APPROACH

The Central Hub Between Engineering and E-commerce

Bluestone PIM acts as the central product data hub between Zeeman's internal systems and its commerce and content channels, turning raw product data into enriched, localised, conversion ready content.

  • Raw product data is managed internally in a PLM system, then onboarded into Bluestone PIM from legacy systems.

  • Content is structured and localised using contextual content features, supported by defined workflows for data quality and governance.

  • Multilingual content is automated and proofread through built in language tooling.

  • Finished content publishes to the e-commerce platform, a search platform, and catalogue outputs.

Driving Client Success

Testimonial From the Client

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"

Before Bluestone PIM, it took six weeks to get product information localised. Now, we’re down to about one week and that’s a huge improvement. We’re automating even more using APIs, which Bluestone makes easy.

"

Alex Bloemendal E-commerce & Marketing Director, Zeeman

How the Product Data Flows

PLM + Legacy Systems

Raw product data managed and onboarded from legacy systems.

Bluestone PIM

Structures, enriches, and governs one product record per market.

AI Linguist

Automates translation, enrichment, and proofreading across languages.

Commerce & Search

Real-time publishing to e-commerce, search, and catalogue outputs.

The Solution

Capabilities Now in Place

AI Linguist

Automates translation, enrichment, and proofreading of product descriptions to speed up localisation.

Algolia Product Search Engine

Algolia Integration

Powers fast, multilingual product search across the e-commerce platform.

Algolia Product Search Engine

InDesign Integration

Streamlines the creation of print and digital product catalogues directly from PIM data.

Contextual Content Features

Handles localisation and market specific content without duplicating work across teams.

Categorisation & Attributes

Sets up the core product foundations that support personalised customer journeys.

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PARTNERSHIP

Bluestone PIM x Lab Digital

Lab Digital partnered with Bluestone PIM to implement a flexible, MACH certified architecture for Zeeman, bringing specialist expertise in composable commerce. Their Evolve accelerator, a GraphQL based composable framework, helped fast track the rollout and ensured smooth integration between Bluestone PIM and Zeeman's wider ecosystem, including its PLM, logistics, and commerce systems. This collaboration enabled a full transition from planning to go live in under a year.

WHAT'S NEXT

Looking Ahead

Zeeman’s journey illustrates the tangible benefits of a product information management-first approach. By prioritising agility and structured product data, the company has laid the groundwork for deeper personalisation, omnichannel consistency, and international growth.

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