Abstract: Provided are systems and methods for programmatically weighting disparate inputs to optimize a predictive model. The predictive model may generate component weighted values associated with each disparate input to facilitate programmatic combination of the disparate inputs, and an aggregated weighted value may be generated from the combined component weighted values. Aggregated weighted values may be generated for a plurality of input sets, each of which may be programmatically scored relative to the remaining input sets. In some embodiments, the predictive model and an associated engine may be packaged for instantiation and execution on a local terminal.

Abstract: Provided are systems and methods for programmatically weighting disparate inputs to optimize a predictive model. The predictive model may generate component weighted values associated with each disparate input to facilitate programmatic combination of the disparate inputs, and an aggregated weighted value may be generated from the combined component weighted values. Aggregated weighted values may be generated for a plurality of input sets, each of which may be programmatically scored relative to the remaining input sets. In some embodiments, the predictive model and an associated engine may be packaged for instantiation and execution on a local terminal.

Abstract: A method for providing targeted fulfillment with respect to a wireless device protection program may include receiving claim information associated with a subscriber, the claim information indicative of a claim associated with a wireless device protection program, employing a predictive model to determine a plurality of options for fulfillment of the claim, the predictive model defining a weighted value for each option where the weighted value considers cost and a corresponding predicted benefit associated with each option, and enabling ranking of the plurality of options based on the weighted value of each option. A corresponding computer program product and apparatus are also provided.