Abstract: A computer-implemented method for adjusting service items in service packages, the method includes formulating a service package having a plurality of service items, the plurality of service items including a computer-related service provided over a network, determining an anomaly index value for each service item to identify a service item in the service package to be excluded, wherein the anomaly index value for the service item to be excluded exceeds an anomaly threshold value, identifying a substitute service item from a plurality of substitute services to replace the service item to be excluded, substituting the service item with the substitute service item to generate an optimized service package having a maintained threshold quality level, wherein the optimized service package includes a portion of the plurality of service items and one or more substitute service items, and replacing the service package with the optimized service package on the network.

Abstract: One embodiment provides a method comprising receiving historic peer deals relating to at least one service, and a baseline and cost percentage estimation for each service. Historic peer cost data for each service is clustered to form at least one cluster. Each cluster includes similar unit costs, and has an assigned label. A classification model is trained based on each baseline received, each cost percentage estimation received, and each assigned label. For each assigned label, a corresponding probability distribution is computed based on the classification model. For each service of a new client solution, an assigned label for the service is predicted based on the classification model, and, based on a probability distribution corresponding to the assigned label predicted, transforming an initial range of historic peer cost data relating to the service into a narrower range for use in estimating a cost of the service with improved accuracy.