Abstract: A shipping management system comprising a memory configured with shipping records representing shipments from a plurality of carriers and scheduling rules that specify a plurality of update frequencies. The shipping management system comprises a processor coupled to the memory. The shipping management system comprises a non-transitory computer readable medium comprising a set of computer executable instructions, the computer executable instructions executable by the processor to dynamically schedule, according to the scheduling rules, updates to update the shipping records; based on the dynamic scheduling, issue update application programming interface (API) calls according to APIs of carrier systems of respective carriers to request shipment data for the shipments; and update the shipping records based on the shipment data returned in response to the API calls.

Abstract: The present invention relates to an automated travel planning data processing system and method that leverages advanced artificial intelligence (AI) and machine learning (ML) algorithms to generate personalized travel itineraries in real-time. The system comprises a central server with one or more processors, memory, and a machine learning module, as well as a travel database that stores aggregated data from multiple sources. Users interact with the system through a natural language processing-based user interface, which receives inputs comprising travel dates, destinations, and preferences. An AI-powered itinerary generation engine processes user inputs and aggregated data to create personalized travel plans, utilizing a multithreading module for simultaneous data retrieval and processing. The machine learning module continuously optimizes the itinerary generation process by analyzing user preferences and travel data patterns.

Abstract: An article delivery system S acquires alternative article selection information indicating an alternative article selected by a user related to the delivery destination from among the one or more alternative articles after the unmanned vehicle starts moving toward the delivery destination; and performs control for transferring the alternative article indicated by the alternative article selection information at the delivery destination.

Abstract: Systems and methods change a user interface for the purpose of pairing a shipping container with an item that is intended to be shipped in the shipping container. Example embodiments include a machine-implemented method for accessing a shipping request, detecting a radio signal from a candidate container using a radio receiver, detecting an impact between a pairing device and a query container using an accelerometer, determining that the query container is the candidate container, and generating a shipping record that correlates the shipping container and the item. The device can further determine that the query container is the candidate container based on the signal strength and change in signal strength of one or more signals. The device can further detect an impact between the pairing device and the query container by ranking one or more sets of acceleration data collected by the accelerometer.

Abstract: The disclosed computer-implemented method may include determining the allocation of personal mobility vehicles. By monitoring personal mobility vehicles and determining, based on sensor data from the personal mobility vehicles, the current usage status of the personal mobility vehicles, a dynamic transportation matching system may improve the user experience of transportation requestors relinquishing custody of personal mobility vehicles. In addition, the dynamic transportation matching system may reduce transfer time between personal mobility vehicles and other modes of transportation and/or may improve the availability of personal mobility vehicles across a dynamic transportation network. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, forward commodity exchanges, grouping software for hubs, transparent open access pricing systems, blockchain audit and safety methods and systems, virtual hub systems, algorithm methods for no arbitrage conditions in a simple easy to use graphical user interface format for mobile or virtual computing over various mediums which are connected via a network to transact and trade transportation seats or capacity units in airline transport, subway transport, train transport, automobile transport, autonomous vehicle transport, taxi transport, space transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, virtual reality computer device or mixed reality computing device.

Abstract: Wireless presence is used as a theft prevention mechanism for packages. When a package is shipped, the package includes a wireless security device. Before the package is delivered to its final destination shipping address, the wireless security device is activated and programmed with a security credential. The security credential, though, is based on information obtained during an initial purchase. The wireless security device may thus only be deactivated by a recipient participating in the initial purchase.

Abstract: A lane pricing technique for charging a mobile body traveling on a road for use of a lane is provided. A lane pricing device according to one embodiment is configured to: acquire from a mobile body traveling on a road, at least one of position information of a mobile body measured based on a positioning signal, and/or a camera image that is acquired by capturing an image from the mobile body and includes a part of a lane in which the mobile body is moving; specify, based on at least one of the position information and/or the camera image, a lane in which the mobile body is moving; acquire lane identification information for identifying a specified lane along with time information indicative of time when the mobile body is moving; and determine and output a toll to be charged to the mobile body in units of lanes based on the lane identification information and the time information.

Abstract: Disclosed is an information processing method in an electronic apparatus, which includes acquiring, from a user, first information related to supply including information on a target fulfillment center and information on an item, confirming a delivery type of the supply, acquiring scheduled arrival time information of the item according to the supply according to a method corresponding to the confirmed delivery type of the supply, and providing second information including the information on the item and the scheduled arrival time information to the target fulfillment center, in which the acquiring of the scheduled arrival time information includes acquiring an item arrival time calculation model that is pre-trained, and determining the scheduled arrival time information based on the item arrival time calculation model.

Abstract: The disclosure relates, inter alia, to a method comprising the steps of providing, by a user apparatus, an activable user interface for stipulating a delivery and/or pickup position, capturing of a position of the user apparatus when the user interface is activated, and communication of delivery and/or pickup position information associated with the captured position from the user apparatus to a delivery service apparatus.

Abstract: A charging stand is a power supply facility that is able to be housed underground. The charging stand includes a light emitting device and a control device. The light emitting device is configured to emit light to a space above the ground. The control device is configured to control the light emitting device. A first light emission mode of the light emitting device for when the charging stand is available and a second light emission mode of the light emitting device for when the charging stand is not available are different.

Abstract: Embodiments are disclosed for determining delivery confidence intervals. An example method for determining a confidence interval includes the following operations. Delivery information is received from one or more sources, wherein the delivery information comprises data associated with at least one predefined location perimeter. The data associated with the at least one predefined location perimeter is normalized. The normalized data is categorized into training data used to perform a deep neural network regression analysis. A predicted delivery confidence interval is determined by constructing a predictive learning model by conducting a regression of the data using deep neural network regression. The predicted delivery confidence interval is stored in a results table in association with the predefined location perimeter. And, upon receiving a request from a visibility management system, accessing the results table to provide predicted delivery windows to consignees.

Abstract: A shipping management system comprising a memory configured with shipping records representing shipments from a plurality of carriers and scheduling rules that specify a plurality of update frequencies. The shipping management system comprises a processor coupled to the memory. The shipping management system comprises a non-transitory computer readable medium comprising a set of computer executable instructions, the computer executable instructions executable by the processor to dynamically schedule, according to the scheduling rules, updates to update the shipping records; based on the dynamic scheduling, issue update application programming interface (API) calls according to APIs of carrier systems of respective carriers to request shipment data for the shipments; and update the shipping records based on the shipment data returned in response to the API calls.

Abstract: A variety of factors may affect a shipment as it travels from a sender to a recipient. However, reliably gathering and storing information relating to such factors may be difficult because of the wide variation in the means for generating and/or collecting such information. Accordingly, examples of the present disclosure describe shipment record systems and methods. In an example, an image capture device is used to generate image data relating to a shipment. The image data may be associated with the shipment to generate a shipment record, such that the shipment record may be later updated and/or retrieved. In examples, the shipment record comprises other shipment information relating to the shipment. As a result, it is possible to generate statistics, identify trends, and provide reports relating to one or more shipments, which increases accountability and enables shipping agents to dynamically adjust resource allocation, among other benefits.

Abstract: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, forward commodity exchanges, grouping software for hubs, transparent open access pricing systems, blockchain audit and safety methods and systems, virtual hub systems, algorithm methods for no arbitrage conditions in a simple easy to use graphical user interface format for mobile or virtual computing over various mediums which are connected via a network to transact and trade transportation seats or capacity units in airline transport, subway transport, train transport, automobile transport, autonomous vehicle transport, taxi transport, space transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, virtual reality computer device or mixed reality computing device.

Abstract: Input data provides an order of a quantity of finished goods to a site. Software is programmed for: accessing data defining an architecture of the supply chain network with sites, and a location of each site; enumerating one or more path solutions along the supply chain network to fulfill the order, each path solution comprising path fragments connecting two sites, a path fragment defining movement of a sub-quantity of the finished goods or raw materials; determining a cost associated with each of the plurality of path fragments, the cost comprising a duty rate, the duty rate associated with a particular path fragment based on the locations of the two sites connected by the particular path fragment and the sub-quantity of the finished goods or finished goods raw materials moved between the two sites; determining one or more optimal path solutions; and outputting the optimal path solutions for display.

Abstract: Particular embodiments described herein provide for a system and method for facilitating autonomous delivery using a delivery assembly transported by an autonomous vehicle, the system and method can include determining a location of the delivery assembly and in response to determining the location of the delivery assembly, configuring a user interface to facilitate the autonomous delivery. The user interface has at least a point of origination configuration and a user configuration. In addition, the user interface can authenticate a user, allow the user to access one or more cubbies of the delivery assembly, and inform the user through one or more indicators on the user interface that the user can access a specific cubby.

Abstract: A computer-implemented method comprises receiving training data corresponding to a plurality of trips, the training data including at least a value for a set of attributes for each of the plurality of trips, the set of attributes including an indication of when in a week a trip is taken or in which of a plurality of meal-based time zones in a day the trip is taken, the training data including an actual travel time for each of the plurality of trips. The method further comprises creating and storing, in computer memory, a digital model that is configured to predict a travel time for a future trip based on the training data, the digital model including a set of parameters corresponding to the set of attributes, the digital model including a plurality of sets of values for the set of parameters.

Abstract: Systems and methods change a user interface for the purpose of pairing a shipping container with an item that is intended to be shipped in the shipping container. Example embodiments include a machine-implemented method for accessing a shipping request, detecting a radio signal from a candidate container using a radio receiver, detecting an impact between a pairing device and a query container using an accelerometer, determining that the query container is the candidate container, and generating a shipping record that correlates the shipping container and the item. The device can further determine that the query container is the candidate container based on the signal strength and change in signal strength of one or more signals. The device can further detect an impact between the pairing device and the query container by ranking one or more sets of acceleration data collected by the accelerometer.

Abstract: Methods and systems are described for optimizing delivery modes used to transport items to a customer. A delivery optimization system includes an online ordering system, a delivery mode optimizer, an order allocator, and a ship label and manifest generator. The delivery mode optimizer selects an optimal shipping mode based on information received from carriers. The lowest cost option to deliver the goods to the destination by a promised delivery date is selected at the time the order is received. A shipping node is selected that can supply the items needed to fulfill the order within the desired timeframe. The delivery mode is reevaluated after the order is prepared for shipment to determine if available shipping options have changed.