When first-generation pricing AI software first came on the scene, it held exciting promises, but the dynamic nature of today’s markets requires more. By now, we know what the limitations of the first iteration of pricing AI are. Formulas simply excluded any abnormalities from the results that could not be explained easily. It also relied heavily on a top-down approach to optimization, meaning that your company goals didn’t drive the optimization but only one section of the price waterfall, such as a list price does.
What’s more, with the older versions of price optimization software, it is not possible to pop the hood and look under the engine to better understand the results.
It is time to say “bye” to unknowable price optimization that can give you less than optimal results.
Join Manuel Pfeifer as he shows you why first-generation pricing AI cannot even come close to competing with next-generation pricing AI.
Key Benefits of Joining:
Understand the key differences between first- and next-generation Price Optimization as it relates to your waterfall
Determine how to translate your holistic price management approach to pricing software, holistically
Reflect and measure the KPIs of several departments using AI
Generate, simulate and test several scenarios based on multiple parameters such as region, historical price, life cycle, discounts, and more, to make more informed decisions