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Rethink machine learning for supply chain

March 22, 2022

Supply chain operations are facing increasing challenges such as uncertainty, increased risk, changes to demand patterns, and disruptions. Legacy processes with manual decisions and structures are struggling to keep up. Forecasting demand has long been fundamental to managing variability, and has been one of the most successful applications of machine learning in the industry. However there is only so much forecasting can do, especially in uncertain times. In this session, get an introduction to how companies are starting to use data to predict the effect of their actions, pick the best actions to take, and assist their decision making. You can also get insights to an example of this in practice for routing in last-mile delivery.

Eden Duthie, Senior Data Science Manager, AWS
Dr. Manuel Baeuml, Senior Practice Manager,Supply Chain & Transportation Advisory, AWS

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