The VP of enterprise transformation at a global insurance giant was building a predictive pricing model to better forecast supply and demand for its buyback program. What data and triggers could help the team make more accurate predictions and, in turn, create smarter pricing and underwriting strategies? Our independent data scientist held a PhD in computer engineering and had previously served as Chief Data Scientist at Accenture. After working with executives to understand price determinants and predictability gaps, he built and refined a machine learning algorithm that the client's team used to build an enterprise predictive tool. Value: A powerful tool for using data to create smarter pricing and underwriting strategies