Publication
SCC 2019
Conference paper

Winnability prediction for IT services bids

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Abstract

Different service providers compete to win highly valued IT service contracts in a lengthy tender bidding process. These multimillion-dollar deals are complex in both solution design and service delivery. A successful bidding outcome does not solely depend on pricing. Hence, we experiment on a selection of deal factors that play critical roles in winning a deal. In this paper, we describe two machine learning models that use structured data to predict the bidding outcome of sales opportunities.

Date

Publication

SCC 2019

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