Forecast accuracy with integrated sales and product lifecycle management

Uncertainty and volatility are compelling business leaders to apply data science and AI innovation to a broader set of organizational functions.  How do you predict customer behaviors when models are becoming outdated very quickly?  Are you challenged with tackling staff productivity and logistics when balancing remote and physical work? With an integrated approach to AI, organizations can increase predictability, optimize operations and drive resiliency even when market conditions are rapidly changing — from customer experience and workforce optimization to inventory optimization and risk management.  

Presenters

Featuring Prolifics, IBM Platinum Business Partner, this second session will take a deep dive into forecasting techniques by integrating sales and product lifecycle management, including the following topics: 

• Improve sales forecasting accuracy
• Increase campaign efficiency
• Optimize inventory management
• Drive operational agility

Presenters:

Michael Gonzales, Ph.D

Chief Data Scientist, Prolifics

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John Radi, 

Global Sales Leader at Prolifics

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Julianna DeLua

SME, data science and AI, IBM Cloud Pak for Data, IBM Data and AI

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