I have also used Bayesian quantification of uncertainty in pricing forecast models. Decision makers love a measure of uncertainty when one recommends a pricing scenario that can have significant impact on revenue. Also, you get the chance to build multilayer models to combine knowledge from independent samples. PyMC3 is fantastic for building these models within Jupyter and Gelman's Bayesian Data Analysis is a great introduction for different Bayesian model applications.