The ability to generate optimal prices is key for retail, because price-setting errors directly lead to lost profits. However, traditional pricing strategies nowadays rarely result in setting optimal prices since they are designed for more traditional environments. In such environments, the price change frequency is inherently limited (for example, brick-and-mortar stores), and off-the-shelf tool capabilities and manual processes constrain the ability to use dynamic pricing models. Dynamic pri