A system includes a memory and at least one processor to determine a location of each vehicle of a plurality of vehicles that have freight capacity, determine a distance of each vehicle to a location of each uncovered shipment of a plurality of uncovered shipments, determine an estimated time of arrival for each vehicle to arrive at the location of each uncovered shipment of the plurality of uncovered shipments, determine a particular vehicle of the plurality of vehicles having a highest score that is selected to service a particular uncovered shipment of the plurality of uncovered shipments, the highest score based on the distance, the estimated time of arrival, and a pick up time for the particular uncovered shipment, and transmit a notification to a computing device of an operator of the particular vehicle that indicates that the particular vehicle is selected to service the particular uncovered shipment.

The present disclosure provides a technology capable of favorably using a vehicle driven by a driver or an autonomous vehicle as a delivery vehicle to deliver goods. An information processing apparatus includes a controller including at least one processor configured to execute assigning either a first vehicle that is a vehicle driven by a driver or a second vehicle that is an autonomous vehicle as a delivery vehicle to deliver goods to a user. When a predetermined event other than the delivery of the goods to the user is requested to be performed at a delivery destination, the controller selects the first vehicle as the delivery vehicle.

Various systems and methods that may relate to referral and/or delivery services are described. Some embodiments may include billing SMS ordering.

Various systems and methods that may relate to referral and/or delivery services are described. Some embodiments may include billing SMS ordering.

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

A computer system can estimate preparation times associated with items offered by a plurality of entities to manage a service over a given geographic region. The computer system can receive, from a user device of a user, a request that indicates a user selection of a first set of one or more items to be provided by a first entity and a second set of one or more items to be provided by a second entity. The network system can determine a route of travel for a service provider to navigate in fulfilling the request. The route of navigation can be determined based at least in part on a first set of preparation timing information associated with the first set of one or more items and a second set of preparation timing information associated with the second set of one or more items.

A method includes storing a parameter related to a user, storing descriptive data for multiple identifiers, and indexing multiple events. Each event corresponds to a physical object supplied to a user on behalf of an entity. The method includes identifying a first set of identifiers based on commonality among the descriptive data. The method includes training a machine learning model for the first set of identifiers based on event data from within a predetermined epoch. The method includes receiving an indication of a selected identifier and determining a first intake metric of the selected identifiers using the machine learning model. The method includes determining a second intake metric of the selected identifier and the parameter and transforming the user interface according to the first and second intake metrics. The first intake metric represents an amount of resources expected to be received during a second epoch subsequent to the predetermined epoch.

A method includes storing a parameter related to a user, storing descriptive data for multiple identifiers, and indexing multiple events. Each event corresponds to a physical object supplied to a user on behalf of an entity. The method includes identifying a first set of identifiers based on commonality among the descriptive data. The method includes training a machine learning model for the first set of identifiers based on event data from within a predetermined epoch. The method includes receiving an indication of a selected identifier and determining a first intake metric of the selected identifiers using the machine learning model. The method includes determining a second intake metric of the selected identifier and the parameter and transforming the user interface according to the first and second intake metrics. The first intake metric represents an amount of resources expected to be received during a second epoch subsequent to the predetermined epoch.

A vehicle service providing apparatus includes an electronic control unit having a microprocessor and memory. The memory is configured to perform storing map data including route position data. The microprocessor is configured to perform acquiring reservation application data for using the vehicle including destination data, calculating a route to the destination base on the map data stored and the destination data acquired, acquiring parcel data including fee revenue data for a delivery of the parcel, determining whether the user satisfies a predetermined requirement for delivering the parcel when using the vehicle based on the parcel data in the acquiring and the route calculated in the calculating, deciding the incentive based on the parcel data in the acquiring when it is determined that the user satisfies the predetermined requirement; and outputting incentive data of the incentive in the deciding to the user.

A vehicle service providing apparatus includes an electronic control unit having a microprocessor and memory. The memory is configured to perform storing map data including route position data. The microprocessor is configured to perform acquiring reservation application data for using the vehicle including destination data, calculating a route to the destination base on the map data stored and the destination data acquired, acquiring parcel data including fee revenue data for a delivery of the parcel, determining whether the user satisfies a predetermined requirement for delivering the parcel when using the vehicle based on the parcel data in the acquiring and the route calculated in the calculating, deciding the incentive based on the parcel data in the acquiring when it is determined that the user satisfies the predetermined requirement; and outputting incentive data of the incentive in the deciding to the user.