What if there was a way to make demand forecasting more efficient, accurate and streamlined? There is! You can achieve more accuracy and efficiency in demand forecasting by using machine learning.
Applying machine learning in demand forecasting can increase the accuracy of your demand predictions and help reduce traditional challenges in planning, such as long delivery lead times, high transport costs, high inventory and waste levels.
Watch this webinar to learn how you can apply machine learning in your demand forecasting and how a ready-made ML-based solution can be implemented with Microsoft Dynamics 365, other ERP platforms and Excel-based demand forecasting solutions.
What you will learn:
The difference between demand and sales forecasting
The benefits of ML-based forecasting compared to traditional forecasting
How can machine learning be applied to create more accurate demand forecasts
Get insights from a specific use case on how machine learning has enabled a manufacturer’s demand forecasting function using Microsoft Dynamics 365 F&O
This webinar is part 1 of our webinar series on how to make AI work for your business. Part two focuses on how you can leverage your production processes and quality with AI technology.