Systems and methods for forward market purchase of machine resources using artificial intelligence

A method performed by a computing device associated with a fleet of machines, the method comprising:

• interpreting a resource requirement for the fleet of machines, each machine of the fleet of machines having a requirement for one or more machine-related resources;
• aggregating data from a data source comprising at least one of an external data source or an internal data source, the aggregated data comprising data related to the one or more machine-related resources;
• operating an artificial intelligence facility to generate a set of predicted forward market prices for the one or more machine-related resources at different times, the generating comprising:
• retrieving a training data set comprising feedback data indicating outcomes of previous transactions of the one or more machine-related resources and at least one of:
• satisfaction of users of the fleet of machines, or satisfaction of operators of the fleet of machines;
• iteratively training an artificial intelligence model with the training data set;
• and
• self-adjusting, using the artificial intelligence model provided with the aggregated data as an input, outputs of the artificial intelligence model to generate the set of predicted forward market prices of the one or more machine-related resources at different times;
• determining to purchase, by the computing device associated with the fleet of machines, the one or more machine-related resources at a first time based on a first predicted forward market price corresponding to the first time indicating that the one or more machine-related resources are undervalued;
• responsive to determining to purchase the one or more machine-related resources at the first time, automatically purchasing, by the computing device associated with the fleet of machines, the one or more machine-related resources from one or more cloud platforms
• determining to sell, by the computing device associated with the fleet of machines, the one or more machine-related resources at a second time based on a second predicted forward market price corresponding to the second time indicating that the one or more machine-related resources are overvalued;
• and
• responsive to determining to sell the one or more machine-related resources at the second time, automatically selling, by the computing device associated with the fleet of machines, the one or more machine-related resources on a forward market;
• wherein the feedback data of the training data set is updated based on an outcome of the automatic purchasing and on an outcome of automatic selling on the forward market.