ABSTRACT
This chapter focuses on how artificial intelligence can assist B2B sellers in identifying and interpreting unmet customer needs and creating value-based offers that will delight customers and exceed their expectations. The chapter argues that mixed logit customer choice models provide an economic theory-based measure of perceived value for product and service solutions and of price sensitivity. Machine learning methods can be used to further optimize the predictive accuracy of mixed logit models.
