Characteristic-based predictive operational assignment

A method, implemented in a computing system comprising at least one hardware processor and at least one memory coupled to the at least one hardware processor, the method comprising:

• receiving a first plurality of inputs, wherein respective inputs of the first plurality of inputs are associated with respective sets of one or more characteristics;
• receiving values for the respective sets of one or more characteristics;
• associating the sets of one or more characteristics with at least one set of labels that define operational routing attributes for respective elements of a first routing operation for an element of a routing;
• training a predictive model using at least a portion of the characteristics of the sets of one or more characteristics and the at least one set of labels;
• obtaining a first set of inference data, the first set of inference data comprising a second plurality of inputs and characteristic values for respective sets of one or more characteristics associated with respective inputs of the second plurality of inputs;
• analyzing the first set of inference data using the predictive model to predict a first set of one or more values for the set of labels;
• obtaining a first inference result identifying the first set of one or more values for the first set of labels;
• executing at least a portion of a second routing operation that includes assignments of work centers, execution sequences, or resources based on the first set of one or more values for the set of labels;
• obtaining a second set of inference data, the second set of inference data comprising a third plurality of inputs and characteristic values for respective sets of one or more characteristics associated with respective inputs of the third plurality of inputs;
• analyzing the second set of inference data using the predictive model to predict a second set of one or more values for the set of labels;
• and
• obtaining a second inference result identifying the second set of one or more values for the set of labels;
• and
• executing at least a portion of a third routing operation that includes assignments of work centers, execution sequences, or resources based on the second set of one or more values for the set of labels, wherein at least one assignment of the third routing operation differs from an assignment of the second routing operation based on a difference between the second set of one or more values for the set of labels and the first set of one or more values for the set of labels.

One or more non-transitory computer-readable storage media comprising:

• computer-executable instructions that, when executed by a computing system comprising at least one hardware processor and at least one memory coupled to the at least one hardware processor, cause the computing system to receive a first plurality of inputs, wherein respective inputs of the first plurality of inputs are associated with respective sets of one or more characteristics;
• computer-executable instructions that, when executed by the computing system, cause the computing system to receive values for the respective sets of one or more characteristics;
• computer-executable instructions that, when executed by the computing system, cause the computing system to associate the sets of one or more characteristics with at least one set of labels that define operational routing attributes for respective elements of a first routing operation for an element of a routing;
• computer-executable instructions that, when executed by the computing system, cause the computing system to train a predictive model using at least a portion of the characteristics of the sets of one or more characteristics and the at least one set of labels;
• computer-executable instructions that, when executed by the computing system, cause the computing system to obtain a first set of inference data, the first set of inference data comprising a second plurality of inputs and characteristic values for respective sets of one or more characteristics associated with respective inputs of the second plurality of inputs;
• computer-executable instructions that, when executed by the computing system, cause the computing system to analyze the first set of inference data using the predictive model to predict a first set of one or more values for the set of labels;
• computer-executable instructions that, when executed by the computing system, cause the computing system to obtain a first inference result identifying the first set of one or more values for the first set of labels;
• computer-executable instructions that, when executed by the computing system, cause the computing system to execute at least a portion of a second routing operation that includes assignments of work centers, execution sequences, or resources based on the first set of one or more values for the set of labels;
• computer-executable instructions that, when executed by the computing system, cause the computing system to obtain a second set of inference data, the second set of inference data comprising a third plurality of inputs and characteristic values for respective sets of one or more characteristics associated with respective inputs of the third plurality of inputs;
• computer-executable instructions that, when executed by the computing system, cause the computing system to analyze the second set of inference data using the predictive model to predict a second set of one or more values for the set of labels;
• and
• computer-executable instructions that, when executed by the computing system, cause the computing system to obtain a second inference result identifying the second set of one or more values for the set of labels;
• and
• computer-executable instructions that, when executed by the computing system, cause the computing system to execute at least a portion of a third routing operation that includes assignments of work centers, execution sequences, or resources based on the second set of one or more values for the set of labels, wherein at least one assignment of the third routing operation differs from an assignment of the second routing operation based on a difference between the second set of one or more values for the set of labels and the first set of one or more values for the set of labels.