Abstract: A method for AI-driven natural language search includes receiving a user query for one or more items from a user, processing the user query by searching against at least one relational database associated with the query, where the relational database is generated by extracting features from electronic documents of a plurality of items associated with the one or more items and by identifying specifications or respective values corresponding to the extracted features of the plurality of items, generating one or more query results based on the processing of the user query, where the one or more results include at least one item identified from the plurality of items and a justification for explaining an irrelevance of the at least one item, and transmitting the one or more query results to a user device for presentation to the user.

Abstract: In a system of interconnected enterprise apps, a business data object maintained by a server undergoes a life cycle event which triggers a message notification. All messages between client applications and the server are intercepted, and a configurable rules engine and message processing filters govern the transformation and delivery of each message according to each recipient's role, application, and login state. Messages can be enhanced by adding contextual information and details from other messages and/or information retrieved from enterprise back-end systems according to the rules. The transformation and delivery of messages occurs in real-time across multiple channels, platforms, and users.

Abstract: In a system of interconnected enterprise apps, a business data object maintained by a server undergoes a life cycle event which triggers a message notification. All messages between client applications and the server are intercepted, and a configurable rules engine and message processing filters govern the transformation and delivery of each message according to each recipient's role, application, and login state. Messages can be enhanced by adding contextual information and details from other messages and/or information retrieved from enterprise back-end systems according to the rules. The transformation and delivery of messages occurs in real-time across multiple channels, platforms, and users.