Abstract: A system and a method are disclosed for replacing an accommodation of a canceled booking for a guest user. In an embodiment, an accommodation management system receives, from a homestay application, an indication that a booking for the accommodation in a region by the guest user over a time period has been canceled. The system retrieves a homestay listing associated with the booking and retrieves attributes of the homestay listing. The system maps each attribute to a set of similar attributes in an equivalence table. The system retrieves a set of available hotel listings in the region for the same time period and determines attributes of each available hotel listing. The system determines a set of comparable hotel listings that each include similar attributes to the homestay listing and sends a command to book a comparable hotel listing the guest user during the time period.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that optimize interfaces to present information on mobile device displays. In one aspect, a method includes generating and providing, to a device, data that causes the device to present a status of one or more segments between a first location and a second location within a calendar interface. The calendar interface includes a calendar and, for each date having at least one existing segment, a respective non-textual segment indicator for each existing segment for the date. Each segment indicator is presented using visual feature(s) that represent the status of the segment represented by the segment indicator. A determination is made that the status of a given segment has changed to a second status. The visual feature(s) of the segment indicator for the given segment are visually updated within the calendar interface to represent the second status.

Abstract: Embodiments provide systems, methods and computer program products for artificial intelligence-based detection of delays in a shipping network that include training a machine learning model using a training set of in-flight snapshots to infer, based on a set of predictive features, whether a shipment having an estimated delivery dates will meet the estimated delivery date. The machine learning model represents a set of shipment statuses, a set of timings relative estimated delivery dates, and a set of shipment outcomes of the plurality of historical shipments.

Abstract: A usage rule specifies a number of tokens to access a vehicle. Authorization of a request to access the vehicle is based on receiving the number of tokens specified by the usage rule. The request is stored to an electronic ledger. Actuation of the vehicle is based on the request being authorized. An allocation rule specifies the number of tokens allocated to each of an entity and the vehicle based on the request. Allocation of tokens to the entity and the vehicle is based on the allocation rule.

Abstract: Systems and methods are provided for receiving a request for services in a given location from a client device operated by a user and generating a set of features based on information included in the request for services in the given location. The systems and methods further provide for analyzing the set of features using a machine learning model to predict whether only services that can be instantly booked should be provided in response to the request for services in the given location, analyzing a prediction output by the machine learning model to determine that only services that can be instantly booked should be provided in response to the request for services in the given location, and generating a list with only services that can be instantly booked.

Abstract: Certain aspects of the present disclosure provide techniques for determining a target recommendation for a transaction based on historical transaction data. An example technique for determining the target recommendation for a transaction based on historical data includes receiving a request for a target recommendation and transaction parameters from a user. Based on the transaction parameters, one or more subsets of historical transaction data are retrieved, and a respective weight applied to generate the target recommendation. Based on which of the one or more retrieved subsets of historical transaction data and respective weight(s) applied generate the target recommendation, a confidence level is generated. A determination is made whether the confidence level meets a minimum confidence level. Based on the determination that the confidence level meets the minimum confidence level, the target recommendation is provided.

Abstract: Systems and methods which invoke multiple shipment legs to provide an international shipment architecture adapted for efficient and reliable international shipping of items and facilitating configuration of aspects of one or more of the multiple shipment legs for particular shipments, shippers, recipients, origination countries, and/or destination countries are described. According to embodiments, an item is transported from a shipper to an international processing provider or other origination country egress processing point in an ingestion leg of an international shipment. The item is provided international processing and international border passage by the international processing provider in a bridge leg of the international shipment. In delivery leg of the international shipment, the item is transported from the international processing provider or other ingress processing point in the destination country to the recipient.

Abstract: A method and device which operates to record and evaluate an output of electrical energy of a hybrid power plant, wherein, in accordance with time and/or load, at least one expected generable and usable energy contribution resulting from the utilization of renewable energy sources and one expected energy contribution resulting from the utilization of convention energy carriers are recorded with different tariffs.

Abstract: A network computer system selects a service provider for individual order requests by predicting an order preparation time of the respective supplier for the order request. During a time interval that precedes the order preparation time, the computer system matches an arrival time of a service provider to the respective supplier of an order request. The network computer system estimates an order delivery time for the requester based at least in part on the predicted order preparation time and on a location of the supplier relative to a location of the requester.

Abstract: Disclosed herein are methods and systems that can help an aerial transport service provider (ATSP) select an unmanned vehicle (UV) to deliver a temperature-sensitive item. In accordance with example embodiments, the ATSP system can generate a transport task to fulfill a request for delivery of the temperature-sensitive item, where the transport task involves delivering the item while maintaining a temperature of the item within a preferred temperature range. The system can calculate an amount of required energy to perform the transport task for each available UV of the fleet of UVs. Further, based on (i) the amount of required energy for each available UV, and (ii) a respective remaining battery energy level for each available UV, the ATSP system can select a first UV to perform the task. Yet further, the ATSP system can assign the transport task to the first UV.

Abstract: Methods, apparatuses, and systems of route planning for package pickup and delivery includes: receiving predetermined locations in a geographic region and data representing a predetermined route connecting the predetermined locations; determining unit areas in the geographic region based on sequential nearness of the predetermined locations along the predetermined route, the unit areas including a first unit area and a second unit area, and the unit areas being configured such that all locations in the first unit area are to be visited before visiting locations of the second unit area; generating delivery patterns for determining a route connecting at least one of the unit areas, each delivery pattern including at least one of the unit areas associated with a visiting sequence; when receiving task data including target locations to visit, determining a target route using the delivery patterns and the target data; and sending the target route to a mobile apparatus.

Abstract: A computer-implemented system for correcting address information. The system may include a memory storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include requesting an address for normalization from at least one of a current address or a residential history of a user; receiving, from a user device, a user input including requested address information responsive to the request for normalization; searching, based on the user input, a cache to determine whether a refined version of the requested address is available; returning, based on a determination that a refined version of the requested address exists in the cache, a refined address as the normalized address to the user; and beginning to transport a package to the user at the normalized address, by providing instructions to a mobile device associated with a delivery worker, to transport the package to the normalized address.

Abstract: According to one embodiment, a method, computer system, and computer program product for tracking occupancy on a transit system is provided. The present invention may include receiving passenger information for passengers boarding a public transit system comprising one or more cars; counting the passengers within each of the cars of the public transit system based on the location of each of the passengers; identifying, based on the location of each of the passengers, whether each of the passengers is seated or standing; and displaying, based on the counting and identifying of the passengers, the current occupancy of each of the cars.

Abstract: Images that depict delivery locations associated with a customer may be captured or obtained. One or more classifiers may be utilized to detect and/or identify scene attributes that are depicted in the images and that are associated with the delivery location. One or more correlations between the scene attributes and delivery attributes associated with the delivery location may be determined and used to generate one or more scores for the delivery location. The correlation(s) and/or the score(s) may be utilized to determine delivery instructions that facilitate the delivery of items and/or packages to the delivery location.

Abstract: Embodiments provide for using a set of sensors installing within a cargo container and on a vehicle to measure, monitor, and manage the cargo and available cargo capacity within the container. According to one embodiment, a method for measuring cargo capacity and monitoring cargo within a cargo container can comprise reading, by a monitoring system of the cargo container, a plurality of spatial sensors installed within the cargo container. The plurality of spatial sensors can comprise, for example, one or more light detection and ranging (LiDAR) sensors. An interior of the cargo container can be mapped based on reading the plurality of spatial sensors and available cargo capacity within the cargo container can be determined based on the mapping of the interior of the cargo container. The determined available cargo capacity within the cargo container can be transmitted from the monitoring system to a cloud-based cargo management system.

Abstract: A system capable of associating tickets with an account to provide ticketless entry to an event. The system may verify that a user is associated with the account using far field verification techniques, such as using facial recognition or by detecting wireless signals. The system 100 may improve a user experience by simplifying the process of entering the event, as the far field verification techniques do not require direct interaction with the user. As a result, the user may access the event without stopping at the entrance to provide proof of purchase (e.g., a physical or electronic ticket, bar code, etc.), proof of identification (e.g., driver's license, passport, biometric scans, etc.) and/or other information.

Abstract: Method, system and product for automatic parking payment and policy detection. One method comprises detecting a parking event, querying a parking policy database to obtain a parking policy for the parking location, wherein the parking policy indicates that the parking location is a paid parking spot; and initiating, either automatically or semi-automatically, a parking payment service for parking of the vehicle in the parking location based on the parking policy, wherein said initiating is performed by the mobile device. Another method comprises detecting a parking exit event, wherein the exit parking event is associated with a parking location that is a paid parking location; automatically determining whether a parking payment service is being used by the user for the paid parking location; and stopping the parking payment service for the paid parking location.

Abstract: Systems, methods, and computer-readable storage media for managing transport of a commodity from a point of origin to a destination are disclosed. The system receives rating information from one or more logistics service providers and parameters associated with a requested transport of the commodity from a shipper. A quote for the transport of the commodity is dynamically generated based on the rating information and the one or more parameters included in the request, and transmitted to the shipper. The system then receives an authorization to transport the commodity in accordance with the quote from the shipper, and generates one or more smart contracts for the transport of the commodity in response to receiving the authorization. The system monitors the transport of the commodity, and determines whether terms of a smart contract have been satisfied. When a term has been satisfied, operations corresponding to the satisfied terms are performed automatically.

Abstract: Disclosed herein are embodiments of systems, methods, and computer program products to process product return requests. In one embodiment, the method includes performing image analysis on the electronic device; retrieving business rules governing the warranty plan of a service provider associated with the electronic device; and determining whether the electronic device is accepted under the warranty plan based on the business rules and the image analysis associated with the electronic device.

Abstract: A method for securely transporting items in an autonomous vehicle (AV) between travel destinations includes implementing an electronic ledger on an electronic computing device. One or more electronic codes for are stored in the electronic ledger for controlling access to a physical container that can be secured in the AV. One or more destination addresses for the AV are stored in the electronic ledger. After receiving an access code that matches one of the one or more electronic codes, the physical container is secured in the AV. A destination address is obtained from the electronic ledger. The AV is directed to transport the physical container to the destination address.