Optimization is the hot topic for personal lines predictive modeling. This session will provide a brief overview of optimization and identify some of the key issues such as building elasticity and risk models, designing the appropriate value functions that combine the component models and creating the appropriate optimization algorithm to search for the set of rates given a certain set of constraints. In addition this session will cover opportunities and pitfalls associated with price optimization strategies.