There are provided methods, systems, and non-transitory storage mediums for performing a meta-prediction of time series by using a set of forecasting models each associated with a forecasting theme. Time series data is received, and a set of forecast signals is generated. At least one signal and feature processing model generates a set of features. A meta-learner having been trained on historical time series data generates, based on the time series data and the set of features, a set of weights for the set of forecasting models. A meta-prediction is generated by using the set of features and forecast signals. Implementations may use combinations of endogenous and exogenous data, latent space transformations and generate interpretations and explanations for the meta-prediction.

A method and system for providing technical service to an agricultural working machine. A digital service module of a server, configured to coordinate the technical service, may receive a request for service. The request for service may include at least one part and at least one service needed to fix the problem of the agricultural working machine. The digital service module is divided into a plurality of subsystems and follow a multi-target optimization strategy during planning and implementing the service events.

A system and method for managing a stocking of a warehouse on a farm. The system comprises a server, a database, and a computational device. A module for managing the stocking of the warehouse with spare parts and information and/or criteria regarding the stocking of the warehouse are stored in the database. The module is executable by the computational device, with the server hosting the module for the computational device. Upon execution of the module by the computational device, the module is configured to automatically plan, coordinate, and supervise the stocking of the warehouse with spare parts based on the information and/or criteria stored in the database.

A spare parts planning system and method for planning and coordinating spare parts for agricultural machines. The spare parts planning system may be configured to perform planning and coordination of spare parts for a service order, with the service order being derived from the definition of a customer problem. The spare parts planning system may additionally be configured to assemble the spare parts stock stored in the respective warehouse in such a way that the spare parts stock is adapted to the expected parts failure probability, with this adaptation comprising the storage of the spare parts and/or the procurement of the spare parts from central warehouses.

A method and system for performing an agricultural process in line with an insurance policy. An agricultural working machine is operated by a customer. A digital service module, which may be hosted on a server, comprises an insurance policy management system to ensure to stay in line with the insurance policy at least partly while performing the agricultural process. The digital service module plans and implements the service events based on an optimization strategy, which may comprise a multi-target optimization strategy based on a number of weighted optimization criteria, which may be at least partly derived from insurance policy information.

A technician planning method and system for planning agricultural machine technicians to plan and coordinate repairs and/or maintenance of agricultural machine. The technician planning method and system includes a server, a database, and the communication device. The server receives a customer problem from a customer communication device regarding the repair and/or maintenance of the agricultural machine. The customer problem initiates a delivery of a spare part and a technical service, with information being stored in the database concerning the location and/or the delivery possibilities of the spare part. The technician planning system is configured to determine at least one deployment planning of the agricultural machine technicians for the service order with respect to the technical service. The service order is derived from a definition of the customer problem and one or more planning criteria stored in the database with respect to the agricultural machine technicians.

A system and method for planning technical service to at least one agricultural machine on at least one farm in a region. The system comprises a server, a database and a computational device. A module, executable by the computational device, for planning technical service to the at least one agricultural machine and a crop cultivation map for the region are stored in the database. Upon execution of the module by the computational device, the module is configured to generate a service network plan for the region to provide technical service to the at least one agricultural machine based on the crop cultivation map.

A system and method for managing a warehouse on a farm. The system comprises a server, a database, and at least one user end device. A module for managing the warehouse and information and/or criteria for managing the warehouse is stored in the database. The module is executable by the at least one user end device and the server is hosting the module for the at least one user end device. Upon execution of the module by the at least one user end device, the module is configured to manage a stock of spare parts in the warehouse based on the information and/or criteria stored in the database.

Systems and methods for real-time supply chain management pertaining to medical devices. The distribution, inventorying, invoicing and use of medical devices may be facilitated. The medical devices may be implants and/or instruments, such as those for use in orthopedic procedures.

[Problem] To provide a method, system and programs to comprehensively identify and provide a user with information on the volume of shipment of pharmaceutical products.

[Solution] The method includes a shipment volume information collection step S110 in which a computer collects information on shipment volume of a plurality of pharmaceutical product s from a plurality of websites, a shipment volume registration step S120 in which the collected information on shipment volume of a plurality of pharmaceutical products is registered in a viewable database, and a shipment volume information step S130 which outputs the information on the shipment volume.