Couchbase Lite's Predictive Query API enables mobile applications to utilize pre-trained machine learning models for predictive queries on data stored in its embedded database, offering benefits such as speed, availability, privacy, and bandwidth efficiency. This innovation facilitates real-time predictions that can be combined with stored data, supporting applications in diverse fields like retail, e-commerce, and hospitality by enhancing functionalities such as image-based search and facial recognition. The API's design aligns with the edge computing paradigm, leveraging the increasing power of mobile devices and optimized models, and is supported by major mobile machine learning frameworks. Developers can integrate this API through straightforward steps to build advanced applications, exemplified by use cases like retail inventory management and fast-food kiosk order systems, which enhance user experiences by ensuring data privacy and reducing reliance on cloud-based processing.