Predictive analytics - The future of product demand forecasting

Sep 12, 2018 4:39:07 AM


Producing just the right amount of product to meet demand has many advantages. With perishable produce an unexpected dip in demand results in waste and loss. A spike leaves orders unfulfilled and consumers buying elsewhere. Predictive analytics combined with machine learning provides a more accurate forecast than is humanly possible. This minimizes cost and waste, and maximizes margins.

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About Author
Rogier Huussen

Rogier Huussen

Manufacturing Industry Expert At To-Increase, Rogier is responsible for strategic accounts among the Microsoft Dynamics NAV partners in our partner network. In that role, he does whatever he can to make sure partners and their customers have all the information and resources they need to make sound planning decisions and selections of ERP systems and industry, integration, and productivity solutions, and to achieve successful deployments. Rogier’s work often takes him across the globe to meet with partners at their places of business or at industry events.
Before joining To-Increase, Rogier spent many years as a sales executive, project manager, and IT consultant with software and professional services companies. Rogier holds a BA in Management, Economics, and Law from the Christelijke Hogeschool in Ede in the Netherlands.
Rogier is married to Margriet, and together they have three sons. When he’s not at work, he enjoys spending time with his family and playing squash. He also loves to explore different cultures and good quality food.

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