Room1_Day1_1700_PredictingDemandInADiverseRetailEnvironment_V3

May 26, 2019
One of the most challenging aspects of managing a supply chain is predicting the future demands for products and services. George Weston Foods (GWF) wanted to reduce the restocking frequency and food wastage for its baked good products in all of its 19,000 wholesale customers in Australia and New Zealand. By leveraging the power of Amazon SageMaker’s DeepAR forecasting model, GWF was able to improve their demand predictions using a single machine learning model for all stores and products. In this talk we will explore how GWF is optimising their supply chain using AWS Glue and Amazon SageMaker, providing a better customer experience, reducing waste, and improving costs. You will leave this presentation with the knowledge you need to get started building your own supply forecasting model relevant to your business.
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