Abstract: Systems and methods for digitally accompanied delivery of delivery items, such as mail or packages. A delivery item has supporting digital data, such as electronic text, a digital file, an image, a web page(s), or the like. The delivery item includes an indicia, such as a bar code, that provides access to, or references, the digital resource. When the delivery item is processed during transit from the sender to the recipient of the delivery item, the indicia is scanned, read, and/or decoded, and the supporting digital data is identified therefrom. The delivery service transmits, to the recipient, an electronic notification indicating or including at least part of the supporting digital data. The notification may include information about the enroute status of the delivery item. The recipient may access the delivery item's supporting digital data, e.g., as included directly in the notification or via a link provided with the notification, etc.

Abstract: Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for a first vehicle are provided. Data may be received from sensors associated with a first vehicle for which a parking recommendation may be generated. Data may also be received from sensors associated with other vehicles and/or from one or more structures or other non-vehicle devices. In some examples, historical parking data may be extracted from a database. The collected and extracted data may be used to generate a parking recommendation for the first vehicle. In some examples, pre-stored user preferences, may be used in generating the parking recommendation as well. The parking recommendation may then be transmitted to a computing device within the first vehicle and may be displayed on the computing device.

Abstract: Systems, methods, and computer program products are provided for tracking one or more items. In one exemplary embodiment, there is provided a method for tracking an item. The method may include periodically detecting sensor information of an item by a sensor device. The method may also include periodically transmitting the sensor information by the sensor device. The method may also include receiving the sensor information at a tracking center, storing the sensor information in a database, and reviewing the stored sensor information. The method may further include using the stored sensor information to update shipment information for a package.

Abstract: Aspects of the disclosure provide systems and methods for confirming the identity of a passenger and changing destination of a vehicle. This may include receiving dispatching instructions to pick up a first passenger at a pickup location and to drop off the first passenger at a first destination as well as authentication information for authenticating a first client computing device of the first passenger. Once the client device is authenticated and a second passenger enters the vehicle, the vehicle is maneuvered towards the first destination. While doing so, a location of the vehicle is compared to location information received from the client computing devices. A notification is sent to a dispatching server based on the comparison and a second destination location is received in response. The vehicle is then maneuvered towards the second destination instead of the first destination.

Abstract: Systems and methods relating to management of delivery fleets are disclosed. Such systems and methods include using functionally-aligned machine learning engines to manage aspects of fleet dispatch and routing, inventory level adjustments, and order optimization. The techniques may be applied to manage an automated fleet delivery services system controlling a fleet of autonomous delivery devices (e.g., UAVs) to deliver products from a plurality of distribution hubs to fulfil customer orders. The interconnected machine learning engines enable efficient management of various aspects of such automated fleet delivery services in real time, including optimization of fleet distribution, optimization of inventory distribution, and optimization of order distribution. Optimization of order distribution may be obtained by dynamically adjusting delivery charges for orders based upon current fleet capacity and inventory levels.

Abstract: An identity of a software user occupying a workspace is verified against a reservation for the workspace using information associated with a workspace resource, such as a computer docking station, and information associated with a computing device of the user. A determination may be made that a computing device is connected to a computer docking station located at a workspace. Based on the computing device connecting to the computer docking station, a first identifier associated with the computing device and a second identifier associated with the computer docking station may both be obtained from the computing device. The first identifier and the second identifier may be compared against a reservation record associated with the workspace to determine whether a user of the computing device has an active reservation for the workspace. Output for display at the computing device may then be provided based on an outcome of the comparison.

Abstract: A system and method for managing a network service is described. A system can provide a map interface for a user that includes a location pin. The system can detect a user input that sets the location pin at a selected pickup location on the map interface. In response to detecting the user input, the system can (i) determine an alternative pickup location based at least in part on historical information corresponding to clustered trip entries of the network service, and (ii) cause the map interface to dynamically and visually relocate the location pin to the alternative pickup location. The system may then receive a transport request from the mobile computing device of the user, and in response to receiving the transport request, select a transport provider to rendezvous with the user at the alternative pickup location.

Abstract: An asset-exchange feedback system is implemented for performing asset-exchange feedback operations. The asset-exchange feedback system collects historical asset-listing data from an asset-exchange platform. The historical asset-listing data comprises, for each asset listing of a plurality of previous asset listings, a plurality of asset-listing attributes and a result of the asset listing. The asset-exchange feedback system uses a first machine learning model to determine, based on the historical asset-listing data, a first set of attribute-importance scores. Each attribute-importance score in the first set of attribute-importance scores corresponds to a respective asset-listing attribute in the plurality of asset-listing attributes and indicates an importance of the respective asset-listing attribute to one or more offerees participating in the asset-exchange platform. The asset-exchange feedback system performs an asset-exchange feedback operation based on the first set of attribute-importance scores.

Abstract: Systems, methods, and apparatus are described that enable a serial bus to be operated in one or more modes that employ additional wires for communicating data. A method includes a method includes providing a first interrogating signal configured to cause a controller in a vehicle that is entering the parking facility to monitor status of the vehicle while the vehicle is present within the parking facility, and measure a duration of time in which the vehicle is parked within the parking facility. The method further incudes providing a second interrogating signal when the vehicle is exiting the parking facility, the second interrogating signal being configured to cause the controller to transmit information that includes the duration of time in which the vehicle was parked within the parking facility.

Abstract: A system and method are disclosed for a low-touch centralized system to predict service level failure in a supply chain using machine learning. Embodiments include receiving only historical supply chain data from an archiving system for one or more supply chain entities storing items at stocking locations, predicting one or more supply chain events during a prediction period by applying a predictive model to a sample of historical supply chain data, calculating an occurrence risk score for at least one of the one or more supply chain events and indicating a possibility that the at least one of the one or more supply chain events will occur, generating one or more alerts identifying at least one item and at least one alert stocking location, rendering an alert heatmap visualization comprising one or more selectable user interface elements, and provide one or more tools for initiating corrective actions to be undertaken.

Abstract: Aspects of the present disclosure relate to methods and systems for parcel allocation. In one example embodiment, a system is disclosed including a server, one or more service points and a user application. In another example embodiment, a method for allocating parcels is disclosed including acts of communicating data to and from the server and the service point, comprising electronic tokens. In various embodiments, the communicated data to or from the service point and/or the server is received by and/or transmitted from a user application and a mobile smart device.

Abstract: A system determines that a first data element in a first message is linked to a first data field in a first mapped dataset. The system receives a request to determine to which data field in a second mapped dataset a second data element in a second message should be mapped. The system extracts a first set of features from the first message. The system determines that the first data element is located on a first location within the first message. The system extracts a second set of features from the second message. The system determines that the second data element is location on a second location within the second message. The system determines a difference between the first location and the second location. If the difference is less than a threshold distance, the system associates the second data element to the first data element in the second mapped dataset.

Abstract: Systems and methods for enhancing digitally informed delivery of delivery items, such as mail or packages. A delivery item has an associated digital resource(s), such as electronic text, a digital file, an image, a web page(s), or the like. The delivery item includes an indicia, such as a bar code, that provides access to, or references, the digital resource. When the delivery item is processed during transit from the sender to the recipient of the delivery item, the indicia is scanned, read, or decoded, and the associated digital resource is identified therefrom. The delivery service transmits, to the recipient, an electronic notification indicating that the delivery item is enroute to the recipient and also indicating the associated digital resource. The recipient can then access the digital resource, e.g., the custom text, files, images or web pages associated with the delivery item.

Abstract: A system determines that a first data element in a first message is linked to a first data field in a first mapped dataset. The system receives a request to determine to which data field in a second mapped dataset a second data element in a second message should be mapped. The system extracts a first set of features from the first message. The system determines that the first data element is located on a first location within the first message. The system extracts a second set of features from the second message. The system determines that the second data element is location on a second location within the second message. The system determines a difference between the first location and the second location. If the difference is less than a threshold distance, the system associates the second data element to the first data element in the second mapped dataset.

Abstract: A server manages power adjustment resources electrically connected to a power network. The power adjustment resources include power equipment installed in a facility and configured to supply power from a vehicle to the power network and charge power from the power network to the vehicle. When reservation information for using the facility is received from a user, the server predicts a power supply-demand balance in the power network on a reserved date and time of use of the facility. When a DR for adjusting the power supply-demand balance is predicted to be performed on the reserved date and time of use, the server prepares a use plan for the facility so as to include the vehicle participating in the DR using the power equipment. The server gives an incentive to the user when the user accepts the use plan.

Abstract: An autonomous delivery vehicle including locking storage containers may be used for item deliveries, rejections, returns, and/or third-party fulfillment. A delivery vehicle or robot may include a number of locking storage containers, an authorization interface, and one or more sensors to receive delivery requests, detect and authorize users, and control locker access at various delivery locations to allow users to receive delivered items, and reject or return items. The vehicle may also include a passenger compartment to transport one or more passengers. The vehicle may be reconfigurable to accommodate different combinations of lockers and/or passenger seats. An item delivery system may receive delivery requests and determine routes for delivery vehicles, including centralized delivery locations and/or direct deliveries to recipients.

Abstract: Methods, systems, and devices for road usage charging (RUC) are described. RUC computation may be performed at a vehicle using a vehicle computing device (VCD) that is trusted by a service provider, charger, or both. The VCD may be trusted to collect high accuracy, high resolution time and location data for RUC, and also compute for itself what the RUC charge is according to one or more applicable charge policies that are provided to the VCD. Anonymity related to specific vehicle and location information may be provided by encrypting portions of RUC data that are decryptable by different entities with reduced likelihood of revealing specific vehicle, location, and time information.

Abstract: A product delivery system includes: a center server; a store server; a driver configured to be coupled with and decoupled from a carriage; and a terminal. A processor of the center server is configured to: acquire a scheduled loading time representing a completion time of loading of a product onto the carriage at the store, when order information on the product is output from the terminal to the store server; output, to the driver, an instruction for causing the driver to depart from a current position to the store in time for the scheduled loading time; and output, to the driver, an instruction for causing the driver coupled with the carriage to depart from the store to a delivery destination of the product, when acquiring, from the store server, a loading completion notification indicating that loading of the product onto the carriage has been completed at the store.

Abstract: Systems, methods, and computer program products are provided for tracking one or more items. In one exemplary embodiment, there is provided a method for tracking an item. The method may include periodically detecting sensor information of an item by a sensor device. The method may also include periodically transmitting the sensor information by the sensor device. The method may also include receiving the sensor information at a tracking center, storing the sensor information in a database, and reviewing the stored sensor information. The method may further include using the stored sensor information to update shipment information for a package.

Abstract: A response object is received from a carrier that includes a shipment identifier that identifies a shipment uniquely and globally within a multi-carrier shipping service domain. A response object type of the response object is determined. The response object is validated, including by determining whether the response object is formatted in a manner associated with the response object type and includes one or more required values associated with the response object type. A shipping event related operation is performed using data comprising the response object based at least in part on a determination that the response object is formatted in the manner associated with the response object type and includes one or more required values associated with the response object type.