Abstract: Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.

Abstract: Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.

Abstract: Prioritizing a customer service agent's responses to customer messages. In one form, an expected response time target is determined based on a time interval between sending an agent response and receiving a customer response from a particular customer. In other forms, other objective factors, such as message intervals, customer properties, and message properties, are used to determine the expected response time target. In yet other forms, a customer conversation can be automatically closed if the customer does not respond within a predetermined maximum time interval.

Abstract: Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.

Abstract: Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.

Abstract: Prioritizing a customer service agent's responses to customer messages. In one form, an expected response time target is determined based on a time interval between sending an agent response and receiving a customer response from a particular customer. In other forms, other objective factors, such as message intervals, customer properties, and message properties, are used to determine the expected response time target. In yet other forms, a customer conversation can be automatically closed if the customer does not respond within a predetermined maximum time interval.

Abstract: An information retrieval system allows a user to navigate through a plurality of informational items for a desired informational item, and upon selection of an informational item, presents other informational items related to the selected informational item. The information retrieval system in accordance with the principles of the present invention maintains a database that defines a relational association between a plurality of informational items in the system. The relational association is based on historical navigational behavior of users of the information retrieval system, and includes a relationship type, which is based on the characteristic similarities between the informational items, and relationship strength, which is based on the historical frequency of any related informational items being selected by a user within the same information retrieval session.

Abstract: An information retrieval system in accordance with the principles of the present invention maintains a database that defines a relational association between a plurality of informational items in the system. The relational association is based on historical navigational behavior of users of the information retrieval system, and includes a relationship type, which is based on the characteristic similarities between the informational items, and relationship strength, which is based on the historical frequency of any related informational items being selected by a user within the same information retrieval session. When a navigation from one informational item to another information item is detected, the relationship type and the relationship strength of the two informational items are determined and stored in the database.

Abstract: An information retrieval system allows a user to search a database of informational items for a desired informational item, and presents the search result in the form of matching index entries in the order of relevance. The information retrieval system in accordance with the principles of the present invention assigns a relevance rating to each of the index entries without requiring an explicit input from the user with respect to the usefulness or the relevance of the retrieved information corresponding to the respective index entries. When the user selects and retrieves an informational item through a list of index entries presented by the retrieval system, as a result of a search, the relevance rating of the selected informational item is increased by a predetermined amount.