Machine Learning & Data: The Latest Pricing Opportunity

Pricing Webinar

#PricingWebinar – Machine Learning & Data: The Latest Pricing Opportunity

In today’s ever-evolving world, data and software driven strategies are imperative to creating sustained commercial success. Good processes and experienced personnel are no longer enough. It is nearly impossible to rely on spreadsheets, custom software tools, and anecdotal experiences to properly manage the complexity of becoming a “data-driven business.” The good news?

Computers are more adept than humans at sorting through data with complex variables such as frequently fluctuating costs, rapidly evolving pricing models, and shifting customer priorities. Modern pricing software solutions, powered by advanced algorithms and machine learning techniques, enable businesses to constantly analyze data on an unparalleled scale and drive decision making based on data.

In this PPS #Pricing webinar, Vistaar’s Director of Product Management, Dushyant Zutshi, discusses how advanced algorithms and machine learning techniques drive intelligent pricing and sales strategies for success in the data-driven world.

To get access to the on-demand webinar, please click here.

About the Speaker

Dushyant Zutshi is Director of Product Management at Vistaar Technologies. He has a deep technology background and leads the product roadmap for strategic product lines at Vistaar. Dushyant has 20+ years of experience in developing technology as well as using technology to create business value. He works closely with Global 2000 customers regarding how to best leverage technology solutions that drive pricing transformations. He has a bachelor’s degree in Computer Science from Birla Institute of Technology (BIT), and an executive MBA, from Indian Institute of Management (IIM).

For more information, attend Dushyant’s presentation, “Machines Are Learning from Data: It’s a Pricing Opportunity,” at the Professional Pricing Society’s Fall Conference on Friday, October 26 at 1:00 pm.

On Demand Webinars

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