Prediction Power: How to Leverage Machine Learning, AI & Big Data to Improve Demand Planning & Gain Actionable Insights

With the technology today, there is a tremendous amount of data available, as well as a variety of techniques such as machine learning and data mining to provide unparalleled insight into demand. Understanding how to harness this innovation for more robust planning is not easy, but one thing’s for sure: The technology that we’ve been talking about for years is now here and ready to be implemented in your organization. This session will reveal how to convert the mass of both structured and unstructured data into value-added insight to help improve service, reduce costs, improve inventory management, and increase profits. With a clear action plan, you can accomplish all this and more.

You will learn:
  • How machine learning, artificial intelligence and other technologies are changing demand forecasting
  • How to use predictive analytics to improve forecasting, customer relationship management and inventory control
  • How to determine when to use qualitative measures instead of analytics for better planning and forecasting

You will need a headset or computer speakers to hear audio.

Eric Wilson, ACPF
Director – Thought Leadership
Institute of Business Forecasting & Planning
Eric is a predictive analytics and business planning innovator, author, and speaker. He is the Director of Thought Leadership at the IBF. Prior to this he worked as the Director of Demand Planning at Escalade Sports, Director of Demand Planning at Berry Plastics, and Director of Demand Planning & S&OP at Tempur Sealy International. In 2016, he received the Excellence in Business Forecasting & Planning award from the IBF. He is an IBF Advanced Certified Professional Forecaster (ACPF) with over 20 years of experience. Eric is a visionary in his field, a frequent speaker and panelist for many executive forums and professional conferences, and has written numerous articles in publications such as The Journal of Business Forecasting and APICS Magazine. He is also the author of the books Cultural Cycles and Predictive Analytics for Business Forecasting & Planning.
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