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About T4S5 Machine Learning - A Giant Leap For Supply Chain Forecasting
This document summarizes a presentation on using machine learning to improve supply chain forecasting. The presentation discusses how machine learning can identify weaknesses in traditional demand forecasting models by analyzing vast amounts of data. It provides examples of companies like Danone, Lennox, and Wayfair that have improved forecasting accuracy and inventory management through implementing machine learning techniques. The key takeaways are that machine learning is needed to effectively model long tail demand, leverage signals from big data, automate more of the forecasting process, and integrate machine learning with existing supply chain planning systems.
Detailed Information
| Author: | ['ramesh158'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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