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Product Data Glossary.

Product data doesn't start in your PIM. Discover the terms behind the full flow: from supplier data and mapping to enrichment, automation and publishing.

A.

AI Classification

AI & Automation

What does it mean?

AI classification uses machine learning to automatically place products into the correct categories, classes, or taxonomies based on existing data.

Why is this important?

Manually classifying thousands of products is arduous. AI does it in seconds, with human review for edge cases.

AI Product Enrichment

AI & Automation

What does it mean?

AI product enrichment uses language models and classification AI to generate product copy, fill in attributes, translate, and assign categories, all under the control of governance rules.

Why is this important?

Manual enrichment doesn't scale. AI does the repetitive work, while humans monitor quality and brand voice. Result: faster launches, lower costs, consistent content.

AI Translation

AI & Automation

What does it mean?

AI translation automatically translates product copy into multiple languages while maintaining brand voice, terminology, and context.

Why is this important?

International growth gets stuck on translation capacity. AI translation accelerates expansion without sacrificing quality:provided it's under governance.

API

Integrations

What does it mean?

An API (Application Programming Interface) is the standardized way for systems to exchange data. Often via REST or GraphQL.

Why is this important?

An open API makes the difference between a PIM that grows with your stack and a PIM that becomes the bottleneck. APIs are the arteries of modern commerce.

Audit Trail

Data Quality

What does it mean?

An audit trail is the traceable record of changes in product data: who adjusted which value, when, on the basis of which source and with what result.

Why is this important?

An audit trail makes your product data verifiable, for suppliers, customers and certifications. It is also your fastest route to the cause of an error, because you can see when something changed.

Read more
An audit trail is not an extra administrative layer. It is what allows you to keep confidence in large numbers of SKUs and dozens of sources, without checking everything by hand.

B.

B2B Commerce

E-commerce

What does it mean?

B2B commerce involves online sales between businesses: complex assortments, customer-specific pricing, tiered pricing, technical specs, and bulk orders.

Why is this important?

B2B buyers expect a B2C experience with B2B depth. This is only possible with deep, structured product data publishable by customer or segment.

BMEcat

Standards

What does it mean?

BMEcat is an XML standard for the exchange of electronic product catalogs between suppliers and customers. Widely used in B2B and procurement.

Why is this important?

BMEcat is the mandatory delivery standard for many large buyers. A PIM that generates BMEcat immediately opens doors in B2B.

C.

Channel Management

E-commerce

What does it mean?

Channel management is the strategic and operational management of all sales channels: webshop, marketplaces, retail, B2B portals. Each has its own rules and data requirements.

Why is this important?

Those who manage channels separately lose control. Central management with channel-specific publication is the key to scalable omnichannel growth.

Completeness Score

Data Quality

What does it mean?

A completeness score measures the extent to which a product contains all required attributes, media, and channel-specific fields. Often expressed as a percentage.

Why is this important?

What you measure moves. A completeness score makes data quality visible and manageable:per product, per category, per channel.

Composable Commerce

E-commerce

What does it mean?

Composable commerce builds a commerce stack from best-of-breed building blocks (PIM, CMS, checkout, search) that work together via APIs instead of a single suite.

Why is this important?

Composable scales with the business: replace or add building blocks without replacing the entire stack. Product data is the connective layer.

Content Syndication

E-commerce

What does it mean?

Content syndication is the distribution of rich content:images, videos, comparisons, A+ content:to retailers and marketplaces.

Why is this important?

Rich content demonstrably increases conversion. Automated syndication ensures each channel gets the right content in the right format.

D.

DAM

Integrations

What does it mean?

A DAM (Digital Asset Management) system manages image, video, and document files centrally, with rights, versions, and metadata.

Why is this important?

Product information without imagery converts poorly. A DAM ensures the right assets are available at the right time in the right channel. Linked to your PIM.

Data Governance

Data Quality

What does it mean?

Data governance is the framework of roles, rules, and processes that determines who is responsible for which data and how that data must behave.

Why is this important?

Without governance, every data project becomes an island. With governance, product data scales with the organization without chaos.

Data Mapping

Data Quality

What does it mean?

Data mapping is the process of linking fields from a source system to the target model. For example, mapping supplier attributes to your proprietary PIM structure.

Why is this important?

Good mapping determines whether an import takes 30 minutes or 3 days. It is the silent foundation of every integration.

Data Model

Product Data & PIM

What does it mean?

A data model is the structure of your product data itself: which products you have, which attributes they carry, which values are allowed and how product groups and categories relate to each other.

Why is this important?

Without your own data model you take over the structure of your suppliers. With a data model you decide what your data looks like, and you connect any new source without detours.

Read more
A good data model is not a maximal model. It is a model that supports your assortment, your channels and your suppliers, and that grows without being redesigned every time. That is why we start with structure, before anything is imported.

Data Onboarding

Data Quality

What does it mean?

Data onboarding is the structured ingestion, validation, and normalization of new product data from suppliers, acquisitions, or new assortment lines.

Why is this important?

Smooth onboarding determines whether scaling up takes energy or gives energy. It is the gateway to every form of growth.

Data Quality

Data Quality

What does it mean?

Data quality is the extent to which product data is accurate, complete, consistent, and up-to-date. Measured across the entire chain from supplier to channel.

Why is this important?

Low data quality leads to returns, complaints, and missed sales. High data quality is a direct driver of margin and customer satisfaction.

Data Validation

AI & Automation

What does it mean?

Data validation checks incoming and outgoing product data against rules: mandatory fields, formats, ranges, and consistency between attributes.

Why is this important?

Front-end validation prevents back-end errors. It saves on support, returns, and marketplace blocks.

E.

EAN

Standards

What does it mean?

EAN (European Article Number) is the European variant of GTIN. Usually 13 digits, readable as a barcode. Uniquely identifies a specific product variant.

Why is this important?

Without a correct EAN, there is no place on marketplaces, no scan at the checkout, and no link with retail systems. EAN is the access pass to commerce.

Related terms

eCl@ss

Standards

What does it mean?

eCl@ss is an international classification and attribute standard for products and services, with strong anchoring in industry and mechanical engineering.

Why is this important?

eCl@ss makes technical products internationally interchangeable and searchable. Indispensable for those supplying the German industry or international OEMs.

ERP

Integrations

What does it mean?

An ERP (Enterprise Resource Planning) system manages the operational backbone: purchasing, inventory, finance, and logistics. It is the source of price and stock data.

Why is this important?

PIM and ERP must work together seamlessly: ERP delivers hard facts, PIM adds the commercial layer. Those who don't integrate pay for it in duplicate work.

Related terms

ETIM

Standards

What does it mean?

ETIM is an international classification standard for technical products. Heavily used in installation, construction, and industry. It describes products in classes with fixed attributes.

Why is this important?

ETIM makes product data exchangeable between manufacturers, wholesalers, and installers. For technical sectors, it is the common language.

ETL

Integrations

What does it mean?

ETL (Extract, Transform, Load) is the process where data is retrieved from a source system, transformed into the correct format, and loaded into the target system.

Why is this important?

For product data from supplier files, ERP, or legacy systems, ETL is often the first step toward a scalable PIM.

F.

Flow

Product Data & PIM

What does it mean?

Flow is our own shorthand for product data flow: the continuous movement of product data from source to channel. Data does not sit still in a spreadsheet or wait for an import: it flows, and stays reliable along the way.

Why is this important?

We use flow as a compass: does your product data move by itself, or does it get stuck in manual work? The full explanation of the term can be found at Product Data Flow.

G.

GDSN

Standards

What does it mean?

GDSN (Global Data Synchronization Network) is the global network of GS1 data pools through which suppliers and retailers exchange product data in a standardized way.

Why is this important?

For food and retail, GDSN is the norm. Submit once, automatically available to all connected retailers:provided your data meets the requirements.

Golden Record

Data Quality

What does it mean?

A golden record is the definitive, reliable version of a data object. Composed from multiple sources, de-duplicated and enriched into one single truth.

Why is this important?

Without golden records, systems work at cross-purposes. One golden record per product prevents conflicting information between ERP, PIM, and webshop.

GS1

Standards

What does it mean?

GS1 is the global organization behind standards for barcodes (GTIN/EAN), product identification, and data exchange. Deeply anchored in retail and food.

Why is this important?

GS1 standards make it possible to uniquely identify products worldwide and exchange information between suppliers and retailers without endless deliberation.

Related terms

GTIN

Standards

What does it mean?

GTIN (Global Trade Item Number) is the globally unique number used to identify a product. EAN-13 and UPC are variants of GTIN.

Why is this important?

Marketplaces, retailers, and comparison sites use GTIN as the primary link. Missing or incorrect GTINs directly block publication and findability.

Related terms

H.

Headless Commerce

E-commerce

What does it mean?

Headless commerce decouples the frontend (presentation) from the backend (commerce logic). Product data becomes available via APIs for any channel.

Why is this important?

Headless gives maximum freedom in design and channel strategy, but makes central, reliable product data crucial. PIM then becomes the backbone.

Related terms

I.

iPaaS

Integrations

What does it mean?

iPaaS (Integration Platform as a Service) is a cloud platform for connecting systems, APIs, and data streams without building every connection from scratch.

Why is this important?

iPaaS speeds up integrations between PIM, ERP, webshop, and marketplaces, and keeps management clear as the system landscape grows.

Related terms

L.

Localization

E-commerce

What does it mean?

Localization is the adaptation of product data to the local market: language, measurements, certifications, prices, images, and legal requirements.

Why is this important?

Selling internationally is more than just translating. Strong localization means being taken seriously in every market where you operate.

M.

Marketplace Integration

E-commerce

What does it mean?

Marketplace integration is the linking of product data, stock, and orders to platforms like Bol, Amazon, Zalando, or Bouwmaat. Each platform has its own requirements, attributes, and feeds.

Why is this important?

Marketplaces are growing fast, but every new marketplace adds complexity. Those who manage centrally and publish channel-specifically scale without extra headcount.

Master Data

Data Quality

What does it mean?

Master data is the set of core data used by multiple systems: products, customers, suppliers, locations. It is the truth upon which other data is aligned.

Why is this important?

When master data is correct, the rest of your system landscape aligns. When it shifts, everything shifts with it. Often unnoticed.

MDM (Master Data Management)

Data Quality

What does it mean?

MDM is the discipline of centrally managing, de-duplicating, and keeping master data synchronized between ERP, PIM, CRM, and other systems.

Why is this important?

MDM prevents the same supplier or product from existing in three versions in three places. It is the silent foundation of any scalable operation.

N.

Normalization

Data Quality

What does it mean?

Normalization is aligning names, units and formats in product data. 'mml', 'mm' and 'millimeter' become one field with one definition, and '40 cm' and '400 mm' become one value.

Why is this important?

Normalized data is comparable, filterable and verifiable. Without normalization your channels work with values that do not match, and your search results show products that are not there.

Read more
Normalization is a step before your PIM, because that step requires knowledge of your sources. Every supplier writes differently; your model determines the correct form. Once recorded, that rule keeps working for hundreds of products and for every next supplier.

O.

Omnichannel

E-commerce

What does it mean?

Omnichannel means that customers experience brands on every channel:web, app, marketplace, retail, B2B portal:and can expect the same, consistent experience.

Why is this important?

Omnichannel stands or falls with consistent product data. One wrong spec on one channel undermines trust across all channels.

P.

PIM

Product Data & PIM

What does it mean?

PIM stands for Product Information Management. It is the central place where all product information of an organization comes together: specifications, attributes, media, translations, and channel-specific content. A PIM system brings structure to what is otherwise scattered across spreadsheets, ERP, and suppliers.

Why is this important?

Without PIM, product data remains fragmented and manual. With PIM, product information becomes scalable, consistent, and ready for sale. It is the building block for any growth in assortment, channels, or markets.

Read more
A modern PIM system combines data model, workflow, AI enrichment, and publishing into one layer. This transforms product data from an administrative burden into an active commercial asset. See how the ConnectingTheDots PIM platform supports these steps.

Product Attributes

Product Data & PIM

What does it mean?

Product attributes are the structured characteristics of a product: color, size, material, power, certification. They enable filtering, comparison, and classification.

Why is this important?

The richer and more consistent your attributes, the better the search results, filters, and recommendations work in every channel. Attributes are the engine behind e-commerce findability.

Product Catalog

Product Data & PIM

What does it mean?

A product catalog is the structured collection of all products an organization offers. Often composed per channel, target group, or market.

Why is this important?

A scalable catalog makes it possible to quickly serve new markets, channels, or target groups without starting from scratch every time.

Product Classification

Product Data & PIM

What does it mean?

Product classification is the categorization of products into classes according to a logical schema. Either proprietary or via a standard like ETIM or GS1.

Why is this important?

Good classification makes the assortment comparable, searchable, and exchangeable between parties. It is the foundation for marketplaces, B2B portals, and multi-channel publishing.

Product Data

Product Data & PIM

What does it mean?

Product data is all the information that describes a product: identifiers (SKU, EAN), specifications, attributes, prices, media, translations, and channel-specific content. It is your product's digital identity.

Why is this important?

Product data determines findability, conversion, and compliance. Poor product data slows down time-to-market and directly costs revenue. Strong product data accelerates growth.

Product Data Automation

AI & Automation

What does it mean?

Product data automation is processing product data without manual work: mapping source fields to your own model, transforming values, validating data against rules and enriching it with AI or content rules.

Why is this important?

Automating is more than scheduling a task. It is a chain that runs without anyone having to look at it. Manual work remains only where a human judgement really adds value.

Read more
Where workflow automation focuses on steps and people, product data automation focuses on the data itself. Together they ensure that a growing assortment does not lead to a growing administrative workload.

Product Data Flow

Product Data & PIM

What does it mean?

A product data flow is the complete route that product data takes: from supplier and internal systems to PIM, channels and marketplaces. Collecting, normalising, validating, enriching and publishing are the links in that route. We call this flow for short.

Why is this important?

Looking only at the PIM, you see one pool. Looking at the flow, you see where data stalls. Those pauses are the bottleneck: manual corrections, imports waiting to happen and channels that drift apart. Without flow, every new supplier becomes a project. With flow, a new product goes live faster, all your channels stay consistent, and you keep control as an organization. Flow starts at the source. That is why we say: structure before your PIM.

Read more
A product data flow is only reliable when every link is fixed: who delivers what, when is checked and where data goes. Then a new supplier or a new channel no longer costs a new project, but a configuration. Our approach builds on that: first give structure to the data at the source, then automate. Let your product data flow.

Product Data Syndication

E-commerce

What does it mean?

Syndication is the automatic distribution of product data to external parties: retailers, marketplaces, distributors, and data pools.

Why is this important?

Those who syndicate from a single source prevent version chaos and maintain control over brand message, price, and specifications across dozens or hundreds of channels.

Product Enrichment

Product Data & PIM

What does it mean?

Product enrichment is the process where raw product data is supplemented with attractive copy, images, translations, and channel-specific attributes so that a product is ready for sale.

Why is this important?

Enriched products convert better, rank higher, and are returned less frequently within the margin. Enrichment is not a luxury but a commercial core skill.

Product Experience Management (PXM)

E-commerce

What does it mean?

PXM is the evolution of PIM: not just managing product information, but optimizing it per channel, target group, and context for maximum experience and conversion.

Why is this important?

In a world full of choice, the brand that is consistent and contextually relevant wins. PXM brings commerce and data closer together.

Product Feed

Integrations

What does it mean?

A product feed is a structured export file with product information, intended for a specific channel: Google Shopping, a marketplace, a retailer, or a comparison site.

Why is this important?

Every channel wants the feed just a bit differently. Those who build feeds manually don't scale. Those who generate feeds from a single source scale effortlessly.

Product Information

Product Data & PIM

What does it mean?

Product information is the commercial layer on top of raw product data: titles, descriptions, USPs, images, and videos that truly make a product sellable in a channel.

Why is this important?

Good product information is the difference between a product that is found and bought and a product that stays on the shelf. It is the bridge between data and commerce.

Product Information Management

Product Data & PIM

What does it mean?

Product Information Management (PIM) is the discipline and the technology used to centrally manage, enrich, and consistently deliver product information to every sales channel. It touches people, processes, and systems simultaneously.

Why is this important?

PIM ensures that marketing, sales, e-commerce, and operations work with the same, up-to-date product information. One source, one truth. This means fewer errors, faster launches, and higher conversion.

Product Taxonomy

Product Data & PIM

What does it mean?

A product taxonomy is the hierarchical structure in which products and categories relate to each other. The tree structure behind your catalog.

Why is this important?

A well-thought-out taxonomy speeds up navigation, SEO, and recommendations. A messy taxonomy makes every expansion painful.

Publishing

E-commerce

What does it mean?

Publishing is passing product data through to sales channels: webshop, marketplaces, dealers, print and feeds. Product data publishing is the same step, explicitly aimed at product information.

Why is this important?

Management is not a destination. Data only generates revenue once it stands reliably in a channel. A publication you cannot check means products that go live incomplete or incorrect.

Read more
Reliable publishing asks for rules before publication: what is sales-ready, what is still missing and which channel asks which form. Those rules mean you do not have to start from scratch for a new channel.

R.

Rules Engine

AI & Automation

What does it mean?

A rules engine executes configurable business rules on product data: automatic enrichment, validation, channel filters, or pricing rules.

Why is this important?

A strong rules engine replaces hundreds of ad-hoc manual actions with one central set of logic. Manageable and scalable.

S.

Schema Mapping

Integrations

What does it mean?

Schema mapping links the data model of one system to that of another, including differences in structure, naming conventions, and data types.

Why is this important?

The better the schema is mapped, the more stable the integrations run. Schema mapping is the blueprint under every connection.

Related terms

Single Source of Truth

Data Quality

What does it mean?

Single Source of Truth (SSoT) is the principle that there is one definitive, authoritative source for a particular type of data, from which all other systems are derived.

Why is this important?

Without SSoT, your organization argues over which spreadsheet is correct. With SSoT, you discuss growth.

SKU

Standards

What does it mean?

SKU (Stock Keeping Unit) is the internal, unique identification of a product variant within an organization. Unlike EAN/GTIN, an SKU is self-assigned.

Why is this important?

SKU is the cornerstone on which inventory, prices, orders, and product information hang. A well-thought-out SKU strategy prevents years of technical debt.

Related terms

Source Data

Product Data & PIM

What does it mean?

Source data is product data as it originates with the supplier or in the internal system, before any processing: raw, incomplete and in a structure that is not yours. Also called data at the source.

Why is this important?

Good product data starts before your PIM. If source data is unreliable, that stays invisible until it reaches your channels. Getting the source in order means you no longer repair errors at the end of the line.

Read more
Source data is not an intermediate station, but the starting point of your entire chain. That is why we first look at how supplier data comes in and which structure it receives, and only then at your PIM. Good product data starts before your PIM.

Supplier Data

Product Data & PIM

What does it mean?

Supplier data is all product information a supplier delivers: item lists, specifications, prices, stock levels, media and technical documentation. Usually in its own structure, with its own naming and at its own pace.

Why is this important?

A customer like Azerty receives data from more than fifty suppliers. Cleaning that data by hand, one by one, means your assortment no longer grows with you. Taking supplier data as your starting point turns every new supplier into a standard process.

Read more
Supplier data is usually not wrong, just different. Another field, another unit, another name for the same product. The step before your PIM is translating those differences into one structure of your own, so your PIM only has to receive reliable data. Let your product data flow.

Supplier Feed

Product Data & PIM

What does it mean?

A supplier feed is a digitally delivered stream of product data from a supplier: a CSV, Excel file, XML, BMEcat, ETIM or API connection that comes in periodically or continuously.

Why is this important?

Feeds are the physical entrance of your product data. They determine whether a new product goes live in days or in weeks. A feed you cannot check becomes a source of errors in all your channels.

Read more
Every feed asks for its own translation step: recognising fields, aligning units and signalling missing values. We build that translation once per supplier and keep it live. That is why you can test our platform on your own product feed, instead of on a sample.

Supplier Onboarding

E-commerce

What does it mean?

Supplier onboarding is the process of ingesting, validating, and converting supplier data into your own data model. Often the most difficult part of the chain.

Why is this important?

Suppliers deliver in every imaginable format. Those who automate onboarding shorten time-to-market from weeks to days.

T.

Time-to-Market

Product Data & PIM

What does it mean?

Time-to-market is the time between a product becoming available and the moment it is ready for sale in every channel.

Why is this important?

Every day earlier online is revenue. PIM, automation, and AI enrichment push time-to-market from weeks to days:sometimes hours.

U.

UNSPSC

Standards

What does it mean?

UNSPSC (United Nations Standard Products and Services Code) is a global classification standard for products and services, heavily used in purchasing and procurement.

Why is this important?

For organizations supplying governments, large enterprises, or international customers, UNSPSC is often a requirement to even be considered.

V.

Variant Management

Product Data & PIM

What does it mean?

Variant management is the structuring of products with multiple variants (color, size, version) under one master product with shared and variant-specific attributes.

Why is this important?

Smart variant management prevents duplicates, simplifies content, and ensures strong product pages with the correct filters and selectors.

W.

Webhook

Integrations

What does it mean?

A webhook is an automatic HTTP message sent by a system as soon as something happens:for example, a new order or a product update.

Why is this important?

Webhooks enable real-time integrations without periodic polling. For modern commerce, they are essential for speed and efficiency.

Workflow Automation

AI & Automation

What does it mean?

Workflow automation records the steps surrounding product data in repeatable flows: from import and enrichment to review, approval, and publication.

Why is this important?

Automated workflows make processes predictable and scalable. No forgotten products, no ad-hoc Excel rounds, no surprises just before go-live.