Chapter 1 IntroduCtIon to dIgItal experIenCe platforms • Search services: Information discovery is mainly enabled through search features such as site search, content search, and federated search. DXPs also support advanced search features such as result filtering or faceted searching. • Search services improve the user productivity through efficient information discovery. • Commerce services (Optional): Based on the usage domain, DXPs also provide various commerce services such as catalog management, order management, product information management (PIM), inventory management, etc. • Cognitive services (Optional): In this category we have services that leverage artificial intelligence (AI) and machine learning and natural language processing methods to provide personalization recommendations based on insights gathered. • Data services (Optional): This includes services related to data processing such as Big Data services, data migration-related services, and data transformation-related services. • Infrastructure services: In this category, a DXP offers various features such as support for on-premise deployment, cloud deployment, container deployment (deploy code base to run independently for increased robustness and failover), and multitenancy (a single codebase used for multiple-user groups). A DXP also supports other high availability features such as clustering, monitoring, etc. • Workflow and orchestration services: These services are mainly used for orchestration of business processes. This category includes components such as rules engine, workflow governance, and business process modeling tools. • Personalization services: Personalized delivery is an essential feature of any DXP. This module includes preference management, UI customization (ability for user to customize widgets, page layout), 10