Abstract: A lockable package delivery locker at a publicly accessible location facilitates secure delivery by a delivery user of a package for later pickup by a recipient user. While the package is inside the locker a disinfection system disinfects the package and potentially its contents. A plurality of disinfection systems may provide different types of disinfection, including UV, chemical, nanotechnology, based on the type of packaging material. An electronic message may facilitate positioning UV emitters or chemical dispersion nozzles relative to the package. A locking mechanism and the disinfection system(s) may be controllable remotely from a server to which a computer device of the locker is in communication with, locally via an application on a UE device, or manually via an interface of the locker. The delivery user may be an individual shipping the package or a delivery service personnel, with the recipient user typically being the other.

Abstract: Systems and methods relating to management of automated 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: A delivery system for delivering a package to a delivery destination using a moving body, including a person information acquiring unit that acquires person information that is information concerning a person located in a space in a vicinity of a storage portion included at the delivery destination; and a judging unit that judges whether delivery of the package to the delivery destination by the moving body is possible, based on the person information acquired by the person information acquiring unit.

Abstract: Systems and methods for processing shipment request by using a multi-carrier shipping services platform.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for carpool dual-pricing in ridesharing are provided. An exemplary method comprises: determining an expected trip count based on a plurality of carpool requests in a pricing unit and a pair of price adjustment multipliers applied to the pricing unit; for each of the plurality of carpool requests, generating a carpool matching probability of the carpool request by a second machine learning model based on the first expected trip count; constructing one or more Key Performance Indicator (KPI) models based on the plurality of carpool matching probabilities and the pair of price adjustment multipliers; and determining optimal values of the pair of price adjustment multipliers based on an optimization model maximizing an aggregated value of the one or more KPI models.

Abstract: Managing the capacity of delivery lockers are disclosed herein. For example, by utilizing machine learning techniques, the capacity management system described herein may determine portions of a delivery locker to reserve for packages delivered at one or more delivery speeds. For example, the system may train one or more machine learning models to determine factors associated with a delivery demand, dwell time probability, and optimized capacity reservation of the delivery locker. Utilizing these factors, the system may determine a portion of the delivery locker to reserve for packages delivered at each available delivery speed.

Abstract: Systems and methods for determining an aircraft flightline delivery schedule are disclosed. In one embodiment a method includes receiving a set of milestones for delivery of the plurality of aircraft, receiving a set of costs for set of milestones, receiving a set of scheduling constraints, generating a network flow chart for each aircraft in the plurality of aircraft, the network flow chart having an order of milestones for delivery of the aircraft, determining a cost of delivery for each aircraft in the plurality of aircraft based on the network flow chart and the set of costs for the milestones, determining the aircraft flight line delivery schedule for delivery of the plurality of aircraft based on reducing a total cost for delivery of the plurality of aircraft, and outputting the determined aircraft flight line delivery schedule.

Abstract: Technologies are shown for securing private information during shipping of an item storing shipping information at a blockchain address that includes a recipient geolocation address and generating a shipping label that includes a machine-readable pointer to the blockchain address. The label can be scanned to obtain the blockchain address and request the shipping information. In response to a request, the recipient geolocation address or a next intermediate shipper can be provided. The recipient can be notified to obtain authorization to release the recipient geolocation address or provide an alternative geolocation for delivery.

Abstract: This application relates to apparatus and methods for identifying anomalies within data, such as pricing data. In some examples, a computing device receives data updates and selects a machine learning model to apply to the data update. The computing device may train the machine learning model with features generated based on historical purchase order data. An anomaly score is generated based on application of the machine learning model. Based on the anomaly score, the data update is either allowed, or denied. In some examples, the computing device re-trains the machine learning model with detected anomalies. In some embodiments, the computing device prioritizes detected anomalies for further investigation. In some embodiments, the computing device identifies the cause of the anomalies by identifying at least one feature that is causing the anomaly.

Abstract: Systems, methods, and machine-readable media are provided for processing items within an automated storage and retrieval device. A scanned machine-readable identifier associated with an item is received at an automated storage and retrieval device. A determination is made whether the machine-readable identifier that was scanned is a container identification (ID). The machine-readable identifier is identified based on pre-defined criteria when the machine-readable identifier is determined not to be a container ID. The machine-readable identifier is mapped to an existing order using stored order information. A container ID is created by the fulfillment system and passed back to the automated storage and retrieval device. The item is stored in the automated storage and retrieval device using the created container ID.

Abstract: A method for operating electronic lockers for parcel deposit and collection and pick-up wherein a remote shipping system transmits to at least one mobile device via a long distance communication network data related to parcels to be handled by at least one electronic locker and wherein a user operates the at least one electronic locker with the at least one mobile device via a short distance communication network without using a user interface of the at least one electronic locker and wherein the at least one electronic locker using the at least one mobile device via the short distance communication network transmits data related to parcels handling during the user operation of the at least one electronic locker.

Abstract: Systems and methods provide real-time shipping optimization recommendations for reducing the cost of shipping freight units in a shipment. System comprises a measurement system in communication with a computer system that comprises a client computer device in communication with a host computer system. The measurement system comprises multiple sensing devices to determine weight, dimensions, and other shipping parameters of the freight units in the shipment. The computer system computes a current shipping cost and density based on the shipping parameters. The computer system determines shipping recommendations including recommended adjustments to the shipping parameters that reduce the current shipping cost. The shipping recommendations are transmitted to the client computer device prior to loading the shipment onto a carrier vehicle for the shipment.

Abstract: In an approach location allocation planning, one or more computing units determine at least one location matching model for a first current participating entity of a plurality of current participating entities of a current event, wherein an output of the location matching model indicates a matching degree between the first current participating entity and a current event location. The one or more computing units create at least one initial location allocation plan for the plurality of current participating entities of the event based, at least in part, on the at least one location matching model. The one or more computing units receive feedback from at least one of the plurality of current participating entities. Responsive to the feedback indicating acceptance of the initial location allocation plan, the one or more computing units determine a final location allocation plan based on the initial location allocation plan.

Abstract: One general aspect includes a method to establish control of one or more rideshare experience features, the method including: receiving, via a processor, seat preference settings; based on the seat preference settings, via the processor, designating one vehicle seat of a plurality of vehicle seats; and enabling, via the processor, control of one or more rideshare experience features associated with the designated seat through at least one control panel located at the designated seat.