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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The Pricer’s Four-Step Guide to Tariff Response

Not to fear, enterprise-class pricing software is here

With the latest round of tariffs going into effect last Thursday, many companies are turning to their finance and pricing teams to provide a strategic response that maintains profitability without disrupting demand. To help navigate the complexities of tariffs, Vistaar has put together a four-step guide that allows finance and pricing teams to be nimble, assess the ever-changing pricing landscape, and empower leadership to quickly develop an optimal pricing response consistent with existing pricing strategy.

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How Well Does Your Pricing Organization Learn From the Field?

Unlock latent potential with price experimentation

With every price quote or posted price, there is an opportunity to learn about the market, and in turn, improve pricing. Yet, a tremendous amount of the information is not captured, systemized or utilized, neither by people in pricing nor the algorithms they employ. The potential in learning from the untapped sources of field information can be tremendous.

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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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