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