Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.

Abstract: Systems and methods that process natural language travel requests are described herein. According to some embodiments, methods for processing natural language travel requests may include: (a) decoding itinerary components from a natural language travel request, (b) determining a node type for each of the itinerary components, (c) ascertaining dependencies between each of the itinerary components based upon respective node types, (d) generating an unconstrained schedule using the itinerary components and respective dependencies therebetween, and (d) allocating available inventory to each of the itinerary components according to the unconstrained schedule to fulfill the natural language travel request.

Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.

Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.

Abstract: Provided are methods and systems for efficient matching of suppliers and customers for travel-related and other types of goods and services. These methods and systems are based on an exchange or market concept, in which a computer system performs matching between different parties. Specifically, an exchange system may compare customers' requests with suppliers' content records. In certain embodiments, an exchange system sends notifications of customers' requests to suppliers based on criteria presented by the suppliers. Users' requests and/or vendors' content records may be processed using natural language parser to determine appropriate components for searches and matches. This substantially improves efficiency of the exchange system and makes it more user friendly as users and vendors may present different terms in their respective searches and entries. An exchange system may include a pattern recognition component and semantic natural language parser to perform this function.

Abstract: Systems and methods that process natural language travel requests are described herein. According to some embodiments, methods for processing natural language travel requests may include: (a) decoding itinerary components from a natural language travel request, (b) determining a node type for each of the itinerary components, (c) ascertaining dependencies between each of the itinerary components based upon respective node types, (d) generating an unconstrained schedule using the itinerary components and respective dependencies therebetween, and (d) allocating available inventory to each of the itinerary components according to the unconstrained schedule to fulfill the natural language travel request.

Abstract: Provided are methods and systems for efficient matching of suppliers and customers for travel-related and other types of goods and services. These methods and systems are based on an exchange or market concept, in which a computer system performs matching between different parties. Specifically, an exchange system may compare customers' requests with suppliers' content records. In certain embodiments, an exchange system sends notifications of customers' requests to suppliers based on criteria presented by the suppliers. Users' requests and/or vendors' content records may be processed using natural language parser to determine appropriate components for searches and matches. This substantially improves efficiency of the exchange system and makes it more user friendly as users and vendors may present different terms in their respective searches and entries. An exchange system may include a pattern recognition component and semantic natural language parser to perform this function.

Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.