Definitions for key terms and abbreviations related to product experience,
digital experience, and e-commerce.
Active Learning is a machine learning approach in which the model actively selects the data points it can learn from most, instead of ...
Read moreAdaGrad (Adaptive Gradient) is an optimization algorithm for training neural networks that adjusts the learning rate individually for each ...
Read moreAgentic AI describes AI systems that plan and execute tasks autonomously. Across multiple steps, with access to external tools and data, ...
Read moreAlignment in the AI context refers to the alignment of AI models with human goals, values, and requirements. Without alignment, a model ...
Read moreAmazon A+ Content (formerly Enhanced Brand Content) is enriched product descriptions with modules for images, comparison tables, brand ...
Read moreThe Amazon Marketplace is the dominant e-commerce marketplace in many Western markets, with its own rules for product listings, image ...
Read moreAnomaly Detection identifies data points that deviate significantly from the norm. Applications range from data quality checks through ...
Read moreAPI First is a design approach in which APIs are not bolted onto an application after the fact but designed as the primary interface from ...
Read moreArtificial Intelligence (AI) is the umbrella term for systems that perform tasks normally requiring human intelligence: language ...
Read moreAutomated Machine Learning (AutoML) automates the typical steps in building machine learning models: feature engineering, model selection, ...
Read moreB2B (Business-to-Business) describes commercial relationships between companies, as opposed to B2C (to end customers). B2B buyers have ...
Read moreB2C (Business-to-Consumer) describes commercial relationships between companies and end customers. Unlike B2B, buying decisions are often ...
Read moreBMEcat is an XML-based data format for the standardized exchange of product catalogs between suppliers and buyers, primarily in B2B. It ...
Read moreCDP stands for Customer Data Platform. It is a system that unifies customer data from every source (CRM, shop, app, email, support) into a ...
Read moreCloud-based PIM is Product Information Management delivered as a hosted service in a cloud environment, instead of being installed ...
Read moreCMS stands for Content Management System. It is the platform that lets marketing and editorial teams create, organize, and publish website ...
Read moreComposable Commerce is an architectural approach in which the e-commerce platform is assembled from specialized best-of-breed components ...
Read moreContent Syndication is the structured distribution of product content to external platforms, marketplaces, and distributors in the format ...
Read moreConversational Commerce describes buying processes that run through dialog interfaces: chatbots, messaging apps (WhatsApp, Messenger), ...
Read moreCustomer Experience (CX) is the sum of every perception a customer forms in contact with a brand: from the first ad click through the ...
Read moreDAM stands for Digital Asset Management. It is the centralized management of digital media (images, videos, PDFs, 3D models) along with ...
Read moreData Governance describes the framework of policies, processes, and ownership that ensures enterprise data is managed correctly, securely, ...
Read moreData Migration is the process of moving data from one system to another: ETL workflows, data mapping, cleansing, validation, cutover ...
Read moreData Quality is the degree to which data serves its purpose: correct, complete, consistent, current, and unique. Poor data quality causes ...
Read moreData Synchronization keeps the same data consistent across different systems. That happens through real-time APIs, event streams, or ...
Read moreThe Data Spine is Pimcore's architectural concept for the central data backbone of a company. It connects master data, product data, ...
Read moreA Deep Learning Model is a neural network with many hidden layers that can learn complex patterns from large data sets. Deep learning ...
Read moreA Digital Catalog is a structured online collection of product information made available to internal and external stakeholders: sales, ...
Read moreThe Digital Product Passport (DPP) is an EU initiative for structured, machine-readable product information across the full lifecycle: ...
Read moreThe Digital Shelf is the full online presence of a product across every touchpoint: your own webshop, marketplaces, comparison sites, ...
Read moreDigital Shelf Optimization is the continuous improvement of product presence in digital sales channels: title, description, images, ...
Read moreDistributors are wholesale companies that purchase products from manufacturers and pass them on to resellers, retailers, or end customers. ...
Read moreDXP stands for Digital Experience Platform. It is an integrated platform that powers every channel of a company (website, app, email, shop, ...
Read moreeCl@ss is an international classification standard for products and services, primarily in B2B and industrial sectors. It defines a ...
Read moreEnrichment extends existing records with additional information that increases their usability: marketing copy, images, classifications, ...
Read moreERP stands for Enterprise Resource Planning. It is the system that runs the economic core of a company: finance, accounting, procurement, ...
Read moreETIM (European Technical Information Model) is an international classification standard, primarily for technical products in electrical, ...
Read moreFeed Optimization is the targeted preparation of product data feeds for external platforms like Google Shopping, Facebook, Idealo, or ...
Read moreThe Global Data Synchronisation Network (GDSN) is an international network of standardized data pools for product master data, primarily in ...
Read moreGenerative AI describes AI systems that create new content instead of just classifying or predicting from existing data: text, images, ...
Read moreGPT-4 (Generative Pre-trained Transformer 4) is a Large Language Model from OpenAI for text generation, comprehension, and reasoning. In ...
Read moreGraphQL is a query language and runtime for APIs, originally developed by Facebook. Unlike REST, GraphQL returns exactly the fields the ...
Read moreGrounding refers to anchoring AI models in trustworthy, structured data sources to reduce hallucinations and ensure factual fidelity. An ...
Read moreGTIN (Global Trade Item Number) is the international standardized product identification number, in most cases printed as a barcode (EAN-13 ...
Read moreHallucinations are AI model outputs that sound plausible but are factually wrong or invented. An LLM that constructs an answer instead of ...
Read moreHeadless Commerce is an architecture in which the commerce backend is fully decoupled from the frontend. Communication runs through APIs. ...
Read moreHidden Layers are the middle layers of a neural network between input and output layers. They learn the internal representations a model ...
Read moreHybrid Shopping is the blending of online and offline buying processes: informing online and buying in-store, testing in-store and ordering ...
Read moreA Large Language Model (LLM) is a neural network trained on enormous text corpora that can understand and generate natural language. Known ...
Read moreA Learning Algorithm is the mathematical rule by which a machine learning model learns from data. Known algorithms are Stochastic Gradient ...
Read moreThe Learning Rate is a central hyperparameter for training neural networks. It determines how strongly model weights are adjusted at each ...
Read moreLive Commerce combines live video streaming with direct purchase. While a person demonstrates a product, viewers can comment in real time, ...
Read moreLocalization (translation management) is more than just translating. It adapts content linguistically, culturally, and regulatorily for ...
Read moreA Loss Function measures how far a model's predictions deviate from the actual values. The model is trained to minimize the loss. The ...
Read moreMachine Learning (ML) is the subfield of AI in which systems learn from data instead of being explicitly programmed. Classic applications ...
Read moreMaster Data are the central, long-lived records of a company that are referenced across every business process: products, customers, ...
Read moreMDM stands for Master Data Management. It is the strategy and technology to standardize critical master data across the enterprise ...
Read moreMetadata Management organizes the data about your data: which attributes an asset has, which language it is in, who approved it, which ...
Read moreMicroservices are an architectural approach in which an application is composed of small, functionally bounded services that can be ...
Read moreMultichannel Commerce is selling through multiple independent sales channels in parallel, often with separate inventory, individual ...
Read moreNatural Language Processing (NLP) is the subfield of AI that deals with processing and understanding natural language: language ...
Read moreNeural Networks are the mathematical foundation of modern AI. They consist of layers of artificial neurons that recognize patterns in ...
Read moreOmnichannel Experience is the concept of giving customers a consistent and seamless experience across every touchpoint: from webshop ...
Read moreOpen Source Models are AI models whose weights and often training data are publicly available. Examples are Llama (Meta), Mistral, Falcon, ...
Read moreAn Order Management System (OMS) runs the full order process across every channel: order intake, inventory check, payment processing, ...
Read morePIM stands for Product Information Management. It is the central software layer that consolidates, enriches, and distributes all product ...
Read moreThe PIM Data Model defines which attributes, categories, and relationships a PIM manages for the products you sell. A well-designed data ...
Read morePIM Integration is the connection of a PIM system to the surrounding IT landscape: ERP, CRM, PLM, DAM, e-commerce platforms, marketplaces, ...
Read moreA Point of Sale (POS) is the physical or digital sales location where payment and order processing happen: register, self-checkout, mobile ...
Read moreProduct Bundling combines several individual products into a sellable bundle (camera plus lens plus memory card, for example). Bundles ...
Read moreProduct Content Optimization continuously improves product descriptions, images, and attributes to grow conversion and visibility on every ...
Read moreA Product Experience (PX) Strategy is the overarching plan for how a company communicates its products as an experience: channel-specific, ...
Read moreProduct Lifecycle Management (PLM) manages all data and processes around the creation of a product: from the first engineering drawing ...
Read moreProduct Taxonomy (classification) is the structured arrangement of products into categories and hierarchies. A good taxonomy makes products ...
Read morePrompt Engineering is the structured design of inputs (prompts) to Large Language Models to achieve consistent and high-quality results. It ...
Read moreProprietary Models are AI models whose weights and inner workings are not publicly available and that can only be used through the vendor's ...
Read morePXM stands for Product Experience Management. It goes one step beyond PIM: instead of just managing product data, PXM optimizes how that ...
Read moreResale Markets are sales channels for used or refurbished products: ReCommerce platforms, in-house refurbishment programs, resale of ...
Read moreRetail Channels are the routes through which a product reaches the end customer: brick-and-mortar, your own webshop, marketplaces, B2B ...
Read moreSaaS (Software as a Service) is a delivery model in which software is consumed as a service over the internet, instead of being installed ...
Read moreSingle Source of Truth (SSoT) is the principle that one data category has exactly one binding source from which every other system reads. ...
Read moreA SKU (Stock Keeping Unit) is the internally used unique article number of a company, often structured differently than the external GTIN. ...
Read moreSupervised Machine Learning is the class of ML methods in which a model learns from labeled training data: for every input example, the ...
Read moreSupplier Onboarding is the process of integrating new suppliers into the data and business processes of a company: capturing master data, ...
Read moreSustainable Retail describes retail models and products that actively minimize environmental impact, resource consumption, and social ...
Read moreTaxonomy in the AI and data context describes the hierarchical classification structure into which data is organized in categories and ...
Read moreThird-Party Marketplaces are platforms where third-party vendors sell their products under their own names: Amazon, eBay, Otto, Zalando, ...
Read moreTime to Market is the time from product idea or assortment decision to actual availability for customers. Long cycles cost revenue because ...
Read moreUnsupervised Machine Learning is the class of ML methods in which a model discovers patterns in data without labeled training examples. ...
Read moreUp-Selling is a sales technique in which a customer is offered a higher-value product than the one originally chosen. In e-commerce, this ...
Read moreThe Value Chain spans every step in which a company creates value for its customers: from procurement through production to sales, service, ...
Read moreVariant Management is the structured handling of product variants: the same product base in different forms (size, color, material, ...
Read moreVoice Search is search by voice input instead of text input, through smartphones, smart speakers, or integrated voice assistants. Voice ...
Read moreA webhook is an HTTP-based mechanism by which one system actively notifies other systems about events, instead of those systems having to ...
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