Abstract: This system provides a technical solution for managing product sales, inventory, and deliveries through QR codes and predictive analytics. It incorporates algorithms that generate and assign unique QR codes to products based on real-time sales data from farmers. These QR codes provide direct links to product information, facilitating efficient inventory management and customer engagement. The system also leverages predictive analytics to forecast product demand by analyzing historical sales data, adjust inventory levels, and optimize delivery driver assignments based on proximity to farms. The hardware supporting the system includes servers, processors, network components, and scanning devices to ensure reliable operation and data synchronization. By automating QR code generation, integrating sales data, and dynamically assigning drivers, the system improves operational efficiency, minimizes errors, and enhances the customer experience.

Abstract: Examples described herein provide entity resolution and consolidation using a unique identifier for data with complex relationships gathered across a computer network from a plurality of sources. According to an aspect, a computer-implemented method includes receiving, by a processing device, supply chain data. The method also includes analyzing, by the processing device, the supply chain data to identify a unique entity and a doing business as (DBA) name associated with the unique entity. The method further includes generating, by the processing device, the unique identifier for the unique entity. The method additionally includes associating, by the processing device, the unique identifier with the unique entity and the DBA name associated with the unique entity and updating, by the processing device, the supply chain data to include the unique identifier for the unique entity and the DBA name associated with the unique entity.

Abstract: Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for a first vehicle are provided. Data may be received from sensors associated with a first vehicle for which a parking recommendation may be generated. Data may also be received from sensors associated with other vehicles and/or from one or more structures or other non-vehicle devices. In some examples, historical parking data may be extracted from a database. The collected and extracted data may be used to generate a parking recommendation for the first vehicle. In some examples, pre-stored user preferences, may be used in generating the parking recommendation as well. The parking recommendation may then be transmitted to a computing device within the first vehicle and may be displayed on the computing device.

Abstract: Implementations of various methods and systems to transform parking units with two waypoints or a destination waypoint or a series sequence of waypoints into objects which have associated price-time priority queues for transformed parking units. The present disclosed invention relates to combining the concepts of objected oriented programming, market price queues, parking, navigation systems and social networking and parking transportation as a fungible asset class or parking linked to parking transportation as an open market.

Abstract: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, forward commodity market servers, 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 and resulting financial swap payment structures in airline transport, subway transport, train transport, automobile transport, autonomous vehicle transport, taxi transport, space transport, package freight transport, tractor trailer freight transport, cargo freight transport, container freight transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, audio computer device, virtu

Abstract: A management system for an unmanned mobile service device includes a device main body, a management server that manages the device main body, and a terminal device that accepts an operation input by a subscriber. The device main body includes a service performing unit that performs a service without internally receiving a user, and a moving unit that moves the device main body. The management server 3 includes a reservation information setting section that accepts a reservation of the device main body via the terminal device 4 to store reservation information regarding a reserved place in a storage section and set the reservation information, and a movement control section that causes the moving unit to move the device main body to the reserved place based on the reservation information.

Abstract: A dispatch management device includes a processor configured to: set, for each of a plurality of candidate vehicles that can be dispatched, a priority of the candidate vehicle in response to external environment and characteristics of the candidate vehicle associated with the external environment so that the priority becomes higher as a degree of suitability of the characteristics of the candidate vehicle with respect to the external environment increases, and determine a vehicle to be dispatched from among the plurality of candidate vehicles in response to the priority of each of the plurality of candidate vehicles.

Abstract: Systems and methods for retrieving and analyzing shipping data and rendering interfaces associated therewith are disclosed herein. An example method includes receiving an indication of a reference key from a user computing device, and aggregating, by utilizing one or more application programming interfaces (APIs), a set of data entity information from one or more shipping service provider devices. The set of data entity information may correspond to the reference key and include real-time data from each shipping service provider participating in logistics or transportation of an object from the set of data entity information along a transportation route. The example method may further include partitioning the data entity information into multiple workspace cards, and causing the user computing device to render a workspace graphical user interface (GUI) that includes at least one workspace card of the multiple workspace cards for access by a user of the user computing device.

Abstract: A system provides a set of data to a user application on a computing device of a user, the set of data being used by the mobile computing device to display a map indicating the current location of the mobile computing device on the map, an estimated arrival time for a vehicle to rendezvous with the user, and a user interface feature operable by the user to request transport. The system can select a driver to fulfill the user's transport request and prior to transport being provided to the user, the system tracks a current location of the selected driver as the selected driver progresses to the pickup location and provides progress information of the selected driver to the user. Upon the user being picked up by the selected driver, the system tracks the selected driver from the pickup location to a drop-off location.

Abstract: Systems and methods relating to management of 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: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, transportation unit data transformations, forward commodity market servers, grouping instructions for virtual hubs, transparent open access pricing systems, blockchain audit and safety instructions, virtual hub instructions, banking and credit account instructions, priced based GPS map routing algorithms in a simple easy to use graphical user interface format for mobile, audio interface or virtual interface 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, package freight transport, tractor trailer freight transport, cargo freight transport, container freight transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport o

Abstract: An identity of a software user occupying a workspace is verified against a reservation for the workspace using information associated with a workspace resource, such as a computer docking station, and information associated with a computing device of the user. A determination may be made that a computing device is connected to a computer docking station located at a workspace. Based on the computing device connecting to the computer docking station, a first identifier associated with the computing device and a second identifier associated with the computer docking station may both be obtained from the computing device. The first identifier and the second identifier may be compared against a reservation record associated with the workspace to determine whether a user of the computing device has an active reservation for the workspace. Output for display at the computing device may then be provided based on an outcome of the comparison.

Abstract: A metaverse application generates a first abuse score for the audio stream associated with a first user based on rules that analyze user signals, wherein the user signals include one or more selected from the group of one or more second users muting the first user, a history of past moderation actions associated with the first user, one or more third users blocking the first user, and combinations thereof. The metaverse application includes an audio-classifier model that obtains a second abuse score for an audio stream associated with the first user, wherein the audio stream is provided as input to the audio-classifier model. The metaverse application determines that the first user is committing abuse based on one or more selected from the group of the first abuse score, the second abuse score, and combinations thereof exceeding a threshold score value. Responsive to determining that the first user is committing abuse, the metaverse application performs a remedial action.

Abstract: A method for supply chain consensus planning using batch computing architecture may include instantiating an instance in a network; based on the instantiation of the instance, writing computational codes of local coordinators from scalable object storage in the network to batch computing devices in the network; (i) executing the computational codes, independently from one another, using the batch computing devices; (ii) based on executing the computational codes, writing first public variables, by the local coordinators independently from one another, from the batch computing devices to the scalable object storage; (iii) identifying, by the instance, based on the first public variables, a first quantity for a time period; iteratively repeating steps (i)-(iii) with updated data from the local coordinators until identifying a convergence on a second quantity, and sending, by the instance, an indication of the convergence to the local coordinators.

Abstract: A restaurant management system manages a restaurant. The restaurant management system includes: a conveying path that extends along seats for customers in the restaurant and conveys an item; an event execution device that is conveyed on the conveying path in the restaurant and performs an event on the conveying path; and an event control unit that controls the event execution device to perform the event in response to a request by a customer. The event execution device includes a display device that displays a particular image. The event control unit executes an event start step of controlling the display device that is conveyed on the conveying path to display the particular image, as the event, on the conveying path when the event execution device reaches a seat for which the event is to be performed.

Abstract: A computing system can detect the launch of a rider application on computing devices of users of a transport service. The computing system can receive location data indicating the current location of each user, and determine a usage pattern for each user based on historical data corresponding to historical utilization of the transport service by the user. Based on the current location and the usage pattern of the user, the computing system can determine one or more suggested destination locations for the user, and transmit, over the one or more networks, display data to cause the rider application to display a destination accelerator for each of the one or more suggested destination locations. The destination accelerator can be selectable by the user to automatically input a destination location into a transport request for the transport service.

Abstract: In some implementations, a system may generate a first exchange profile for a first user and a second exchange profile for a second user. The first exchange profile may identify one or more characteristics of an exchange behavior of the first user based on exchange data of the first user, and the second exchange profile may identify one or more characteristics of an exchange behavior of the second user based on exchange data of the second user. The system may receive, from a first device of the first user, a request for a selection for the first user. The system may determine, based on the first exchange profile and the second exchange profile, an entity that is relevant to the first user. The system may transmit, to the first device of the first user, information indicating the selection for the first user, where the selection identifies the entity.

Abstract: Systems and methods for automated allocation of shared resources in transportation networks are described herein. A facility computing device can be configured to store data corresponding to a location of a transportation facility. A vehicle computing device can be associated with a vehicle and configured to provide navigation directions for the vehicle. A yard database can store information corresponding to a location of a yard for staging trailers. A trailer computing device can be associated with a trailer and configured to track a location of the trailer. The system can include at least two endpoint computing devices. The system can include a yard management computing device communicatively coupled with the facility computing device, the vehicle computing device, the yard database, the trailer computing device, and the at least two endpoint computing devices.

Abstract: One example method of operation may include determining one or more high energy usage events were initiated during a peak energy usage time interval of a period of time, determining whether a non-peak energy usage time interval is within a threshold range of the peak energy usage time interval, when the non-peak energy usage time interval is within the threshold range of the peak energy usage time interval, postponing at least a portion of the one or more high energy usage event during the peak energy usage time interval, and automatically re-initiating the one or more high energy usage events during the non-peak energy usage time interval.

Abstract: A rental space includes a host connected to the Internet and a terminal device that receives information input from the user to the host, and the host includes a reservation manager that manages reservation information on use reservation received from the terminal device, an equipment manager that manages equipment information on equipment stored in a warehouse, and a management controller that controls the reservation manager and the equipment manager. The management controller generates a transportation command for transporting the equipment to a reserved room on a reservation date and time on the basis of the reservation information and the equipment information, and a transportation control unit receives the transportation command from the management controller via the Internet, and causes a transportation unit to transport the equipment to the reserved room by the reservation date and time based on the transportation command.