Pricing Practitioners: Are you winning the data intelligence game?

PPS Fall Session to Showcase Intelligent Data-Driven Pricing Strategies

Today, commercial pricing success demands new ways of managing data. Pricing organizations are tasked with managing increasingly large and complex data sets coming from diverse sources that change rapidly. As a result, there is a failure to operationalize pricing strategy over a long-term horizon. Pricing organizations can no longer rely on spreadsheets, custom software tools, and empirical observation to properly manage the complexity and challenges on the road to creating sustained success.

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AI & Machine Learning in the Pricing World

In today’s fast-paced world, rapidly evolving data and software driven strategies are imperative to creating sustained commercial pricing success. Good processes and experienced personnel alone are no longer enough. It is nearly impossible to rely on spreadsheets, custom software tools, and empirical observation to properly manage the complexity of becoming a “data-driven” pricing organization. That’s why it’s more important than ever to not only understand what Artificial Intelligence (AI) and machine learning are but also to learn how to use them for tangible value in data-driven pricing.

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Sales Organizations Benefit the Most from Pricing Software, Just Ask a Soccer Fan

“It’s in the game.”

The traditional core objective of pricing technology was centered on the identification of the margin leakage. The pricing team operated the software and provided sales with insights to mitigate the margin erosion. Put another way, the software served as a business intelligence support system with considerable human intervention. From the sales person’s vantage point, the pricing software was on the sideline.

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Behavioral Economics Powered by Machine Learning and AI Techniques

A true path to optimized pricing

There is a growing focus among pricing practitioners to use price science to drive pricing decisions. It’s a fabulous trend with many recent innovations in the use of advanced techniques such as machine learning and AI. It is important however to consider behavioral economics because our economic decision making is often shockingly irrational. Naturally, we are not referring to your personal decisions, dear reader, because you are always rational, right?

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