CPC G06Q 10/0838 (2013.01) [G06Q 10/04 (2013.01)] | 15 Claims |
1. A method for determining future resource requirements in a given location, the method comprising the steps of:
obtaining transaction data, the transaction data indicative of past resource use at a plurality of locations, which includes the give location;
training at least one machine learning model based on a set of parameters by:
determining a distribution of resources associated with the transaction data;
generating a machine learning kernel based on the set of parameters, the machine learning kernel being arranged to output an estimated distribution of resources over the plurality of locations; and
refining and validating the machine learning kernel based on a comparison between the distribution and the estimated distribution of the resources;
generating a density map of the resources for the plurality of locations based on the at least one trained machine learning model; and
sending the density map to a control system for determining future resource requirements in the given location.
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