When AI, customers and regulations ask—can your product data answer?

Product data has become business infrastructure. It determines whether products can be found and interpreted correctly by AI, whether reporting and automation can scale, and whether product claims can be substantiated.

Digital Fields helps companies build that foundation, with particular experience in fashion and textiles.

The challenge

The problem is rarely a lack of data. The problem is that the data does not hold together.

Product data moves between suppliers, functions, systems and channels. At every handover, there is a risk that context and meaning are lost. The same material or attribute may be defined differently, even though the field has the same name.

When shared rules and accountabilities are missing, the same questions have to be resolved again for every new system implementation, customer requirement and regulatory change. The result is repeated mapping, manual checks and decisions that do not scale.

Product Data Foundation

Product data that can be found, understood and trusted.

Digital Fields helps fashion and textile companies define, quality-assure and govern a shared product data foundation—so that information retains its meaning and quality from source to use.

A Product Data Foundation brings together definitions, rules, sources, quality requirements and accountabilities in a structure that can be used and reused across functions and systems—for business processes, compliance, customer requirements, implementations and AI.

The work may begin with a clearly scoped data domain, with preparations for the Digital Product Passport (DPP), or with an implementation in which business needs, data, accountability and technology need to be kept aligned.

In practice, the foundation consists of approved definitions and value lists, clearly identified sources and validation rules, and assigned ownership for a clearly scoped data domain.

Three ways to work with Digital Fields

Start where the need is greatest.

01

The Foundation Method

Build a trusted product data foundation—one data domain at a time.

When it fits

When a clearly scoped data domain has recurring quality issues or lacks shared rules.

You receive

A baseline, a prioritised view of deviations and an approved data standard with clear accountability.

Explore the method
02

DPP Readiness

Turn DPP requirements into practical action before selecting or implementing a solution.

When it fits

When Digital Product Passport requirements need to be translated into decisions, dependencies and practical planning.

You receive

A gap assessment, identified dependencies and a prioritised roadmap.

Explore DPP Readiness
03

Implementation Leadership & Advisory

Connect business needs, product data and delivery.

When it fits

When business needs, data and technical implementation need to remain aligned throughout a change initiative.

You receive

Senior leadership, requirements management or responsibility for a clearly scoped workstream.

Explore the support

BEHIND DIGITAL FIELDS

Vendela Lamm, founder of Digital Fields.

BUSINESS × DATA × DELIVERY

Vendela Lamm has 15 years’ experience in fashion and textiles. In her most recent multi-year engagement for an international multi-brand group, she led the implementation of group-wide PLM and order-based traceability and acted as the business subject-matter expert in preparations for the DPP.

Learn more about Vendela

Next step

Where should your product data work begin?

An initial conversation can clarify the need and identify the starting point most likely to create value.

Book an initial conversation