Technologies and techniques for delivering an order to an at least semiautonomous motor vehicle, and a motor vehicle. If an ordering function is activated, provider information is obtained from potential providers that offer delivery of an order by means of a mobile delivery system within a predefined area on a determined route from a current position of the motor vehicle to a destination. Coordinates and a time for a meeting of the motor vehicle with the mobile delivery system are determined for each of the potential providers that have been determined using traffic condition and planning criteria, and a corresponding ordering option that can be activated is provided. As soon as the ordering option is activated, the motor vehicle is at least semiautonomously driven to the determined meeting.

A system includes a computing device configured to receive a plurality of object transfer requests, wherein the plurality of object transfer requests comprises a plurality of object identities and a plurality of object destinations generate, using the plurality of object transfer requests, a transfer apparatus interaction platform for a plurality of transfer apparatuses to proffer at least an object transfer request, determine a plurality of transfer apparatus interaction data having a plurality of proffers of object transfer requests, wherein determining further comprises determining, for each transfer apparatus, a transfer apparatus proffer of an object transfer request and a proposed window of time for object transfer, select a proffer from the plurality of proffers from the plurality of transfer apparatuses, wherein selecting comprises determining a compatibility metric based on the proposed window of time for each transfer apparatus of the plurality of transfer apparatuses, and selecting a proffer.

A delivery management server includes: a control module for searching for a plurality of delivery locations located on a navigation route among the navigation information and transmitting the searched delivery locations, when order information and navigation information of goods are received; and a determination module for determining an assembly point to receive goods loaded in an unmanned cargo aircraft according to the order information and an unmanned delivery robot to receive the goods from the assembly point and deliver them to the delivery location to receive the goods from the assembly point and deliver the same to the delivery location, so that the goods can be delivered to the delivery location within the estimated arrival time, when the delivery location selected by the user among the plurality of delivery locations and the estimated arrival time of the vehicle to the selected delivery location are received.

A central management server includes a determination module determining a landable local delivery hub among a plurality of local delivery hubs located within a preset radius centered around a destination, when a location information request for the landable local delivery hub is received from an unmanned cargo aircraft; and a control module configured to transmit a landing command including the location information of the determined landable local delivery hub to the unmanned cargo aircraft, and transmit a task execution command to cause the unmanned cargo aircraft to deliver goods to the destination. The determination module determines the landable local delivery hub, based on a combination of an expected landing standby period of the unmanned cargo aircraft, an expected battery consumption amount of the unmanned cargo aircraft, an expected delivery period of the unmanned delivery robot, and an expected battery consumption amount of the unmanned delivery robot.

A system and method for coordinating item delivery is disclosed. The system includes a control hub configured to receive item information, a dynamic routing system configured to provide routing instructions, and a handheld device configured to receive routing instructions. The control hub controls and coordinates receiving and transmitting item information, including pick-up and delivery schedules, and other item information.

Systems and methods for generating and implementing a household customer database are disclosed. In one aspect, a method for processing items comprises receiving a first item to be delivered and identifying data corresponding to one or more of a source information and destination information of the first item. The method further comprises identifying secondary information of the first item, storing the source, destination, and secondary information in a database, creating associations between the source, destination, and secondary information, receiving a request to analyze information stored and associated in the database, determining whether the database comprises information necessary to perform the requested analysis, identifying if additional information is needed to perform the requested analysis, updating the secondary information associations to include the additional information if needed to perform the requested analysis, and analyzing the information stored and associated in the database based on the received analysis request or query.

Systems for optimizing a delivery process according to various aspects of the present technology may comprise a user device, a ranking engine, a delivery driver management platform communicatively linked to the ranking engine, a database, a server, and a display. The user device may be configured to receive customer data and delivery driver data. The ranking engine may be configured to compute a plurality of rank scores according to the customer data and the delivery driver data. The ranking engine may also be configured to generate a plurality of customer profiles and a plurality of delivery driver profiles according to the customer data and the delivery driver data, respectively. The ranking engine may be further configured to store the plurality of delivery driver profiles and the plurality of rank scores in the database. The server may be communicatively linked to the database over a communication network, wherein the server may be provided with access to the plurality of customer profiles, the plurality of delivery driver profiles, and the plurality of rank scores. The display may be configured to present the plurality of delivery driver profiles according to the plurality of rank scores.

According to one aspect, a method for improved kitchen production is provided, the method comprising: receiving a request for one or more order items to be prepared in a kitchen, each of the one or more order items comprising: a recipe requiring: one or more resources for preparation, one or more processes for preparation, and an estimated preparation time, and a requested pickup time; retrieving a kitchen production capacity comprising a plurality of resources of the kitchen and a plurality of processes of the kitchen; projecting kitchen availability comprising: resource availability at a timeframe, process availability at the predetermined timeframe, current order items being prepared in the kitchen, and order items awaiting preparation in the kitchen; assessing the kitchen production capacity and the kitchen availability in view of the recipes of the one or more order items; and scheduling, based on the comparing, production the one or more order items.

Described herein are various systems and processes for vehicles for delivery of real-time, on-demand orders for perishable goods, and operations thereof. The automated delivery vehicle may include a food transport container and various sensors configured to determine the location and/or surroundings of the vehicle. The automated delivery vehicle may further include a display and/or other output source configured to provide outputs to persons surrounding the automated delivery vehicle. Such outputs may include, for example, an information graphical representation (e.g., provided on a display), an audio output, and/or data communicated to a wireless device.

In one embodiment a queue of drivers for a particular area is maintained, wherein the queue specifies an order in which drivers are selected for transportation requests from the particular area. A driver is selected from the queue for a first transportation request from the particular area. A placement of the driver within the queue of drivers is determined based on at least one characteristic of the first transportation request. An indication of the placement of the driver within the queue of drivers is communicated to a computing device associated with the driver.