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US 2026/0278726 A1Published application
Intelligent Rideshare Matching System
OwnerLaquan Austioninventor
Life of this patent
Estimating the term…
Abstract
A system for facilitating fulfilling experiences during rideshare travel opportunities, the system matching individuals in shared rideshare trips based on availability, destination, mutual interests, user preferences, etc., employing AI-driven matching algorithms and machine learning protocols to enhance the matching functionality in real-time, and employing integration with third-party social media and travel services platforms, communication features to facilitate ongoing connection between rideshare companions, and feedback functionality to train and improve the system through machine learning algorithms and AI functionality.
Claims20
A system for electronically arranging transportation concurrently with one or more additional users, comprising:
- one or more user devices, each connected to a network;
- a system architecture connected to the network and comprising one or more databases, the one or more databases storing information about users of the system and individualized user data comprising one or more of identifying information, preferences, habits, and activities associated with each user;
- the system architecture further comprising a user data module operating to receive and store, in the one or more databases, information about users of the system, the user data module employing one or more user data module protocols to identify and assess the individualized user data, the one or more user data module protocols of the user data module employing artificial intelligence and machine learning features;
- the system architecture further comprising a rideshare request module operating to receive a requesting user's rideshare request and associated request data, said associated request data comprising the requesting user's present location, pickup location, and destination;
- the system architecture further comprising a rideshare matching module operating to identify at least one companion user's rideshare request and associated request data, to facilitate the reservation of a travel provider for the requesting user and the at least one companion user, and to share the requesting user's rideshare request and associated request data and the at least one companion user's rideshare request and associated request data with the travel provider, the rideshare matching module employing one or more rideshare matching protocols to ensure a match between the requesting user's rideshare request and associated request data and the at least one companion user's rideshare request and associated request data, the one or more rideshare matching protocols of the rideshare matching module employing artificial intelligence and machine learning features.
2 more elements
A system for electronically arranging transportation, comprising:
- one or more user devices, each connected to a network;
- a system architecture connected to the network, operable to receive data from third-party systems connected to the network. and comprising one or more databases, the one or more databases storing information about users of the system and individualized user data comprising one or more of identifying information, preferences, habits, and activities associated with each user;
- the system architecture further comprising a user data module operating to receive and store, in the one or more databases, information about users of the system, the user data module employing one or more user data module protocols to identify and assess individualized user data, the one or more user data module protocols of the user data module employing artificial intelligence and machine learning features;
- the system architecture further comprising a rideshare request module operating to receive a requesting user's rideshare request and associated request data, said associated request data comprising the requesting user's present location, pickup location, and destination;
- the system architecture further comprising a rideshare matching module operating to identify at least one companion user's rideshare request and associated request data and employing one or more rideshare matching protocols to identify a match between the requesting user's rideshare request and associated request data and the at least one companion user's rideshare request and associated request data, the one or more rideshare matching protocols of the rideshare matching module employing artificial intelligence and machine learning features.
2 more elements
Dependencies are inferred from the claim text.