A system and method for automated machine learning supply chain planning having a computer with a processor and memory and configured to receive a first supply chain network model having one or more material constraints for operations of a first supply chain network. Embodiments include transforming the first supply chain network model into a digital image, training an auto-encoder model to reduce the dimensionality of an input vector, and locating one or more items in the first supply chain network.

In certain embodiments, an online transaction is verified based on merchant-independent user geolocation. A geolocation of a user associated with the online transaction is obtained from a mobile device of the user by a transaction verifying entity separate and independent from a merchant entity with which the online transaction is initiated. A server associated with the transaction verifying entity determines a proximity of the geolocation of the user to a delivery address for verifying the online transaction. The server generates a verification message including an approval message based on the proximity of the geolocation to the delivery address being within a specified threshold. The server generates a verification message including a rejection message based on the proximity of the geolocation to a delivery address exceeding the specified threshold. The server sends the verification message to another server associated with the merchant entity to carry out the online transaction accordingly.

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.

A fleet management system has a communication and positioning module associated with each fleet vehicle, and a backend monitoring and control system located at a fleet data center in communication with each vehicle. The system monitors each trip automatically and generates time stamps at the start of a trip, a pick up location, a drop off location, and return of the vehicle to a garage at the end of a trip. Vehicle status information is collected and stored along with timestamps. The information is used to generate billing and payroll accounts, and also in monitoring conditions of fleet vehicles and generating alerts as needed. Tum-by-tum route instructions are provided to each vehicle.

A check-in system for an dispensing items includes a computing device having an application installed thereon. The computing device is configured to check in a customer to notify the kiosk of a time range during which an order of the customer is picked up. The kiosk is configured to receive a check-in message from the computing device, receive the location of the computing device, receive a message indicative of the arrival of the customer at the automated tower, retrieve information of the order from an order database stored on a remote server, assemble the order based on the check-in message and the information of the order, and move the assembled order close to a pick-up location of the automated tower to facilitate pick-up of the assembled order.

A control device (100) includes an acquirer (110) that, when an order is accepted, acquires vehicle location information indicating a location of a vehicle capable of storing a target of the order, start location information indicating a start location at which transportation of the target is started, and preparation information indicating preparation time required for preparation to bring a state of the target into a state where the transportation is startable or a preparation completion time at which the preparation is completed and a generator (120) that generates movement control information for causing the vehicle to move from the location of the vehicle to the start location, based on (i) an amount of energy that the vehicle is estimated to consume to move from the location indicated by the acquired vehicle location information to the start location indicated by the acquired start location information, and (ii) the preparation time or the preparation completion time indicated by the acquired preparation information.

An information system manages use of one or more areas in a vehicle permitted to be used as a pick-up and delivery destination of a pick-up and delivery product. The information system includes an information processing device. The information processing device acquires state information including at least one of information on a parking state of the vehicle and information on a surroundings situation of a parking position of the vehicle, and provides determination information for assisting in a determination as to whether or not pick-up and delivery of the pick-up and delivery product to the one or more areas is possible based on the state information, to an external device that is provided external to the information processing device.

A system for shipping an object is disclosed. The system can include a routing unit to obtain a set of data associated with the object, generate a first shipping route for the object, and determine a first set of transshipping locations for the shipping route. Each of the first set of transshipping locations can include a location that the object is transferred from a first courier to a second courier. The system can include a scheduling unit to determine an availability for each of the first set of transshipping locations, communicate with parties involved in shipping the object, initiate a shipping process, and orchestrate the shipping process until the object is delivered. Upon a determination that the shipping route does not meet criteria, the scheduling unit can direct the routing unit to generate another shipping route for the object, and determine another set of transshipping locations.

Systems and methods can enhance efficiencies of order fulfillment processes. For example, this document describes systems and methods for efficiently processing direct-to-customer shipments at a last mile delivery (“LMD”) facility. The systems and methods are focused on rapid loading, unloading and cycling of LMD delivery vehicles through the operation in a space-efficient manner. In some embodiments, the delivery vehicles are cycled through the LMD facility in organized batches to allow high throughput with fast cycle time.