Machine Learning and Supply Chain Management- A conceptual view
Author(s):
Pooja Sareen
Keywords:
Abstract
Machine Learning algorithms forecast demand, improve logistics management and help us reduce paperwork, and automate the manual processes. It uses data, probabilistic models, and algorithms which includes problem identification, cleaning the data, implementing the model, training and testing, evaluating, deploying and updating the data files. In this paper a conceptual view of Machine learning and Supply Chain Management is taken. It also outlines Supervised methods to make predictions on future data such as predicts demand, classify images, detect fraud, or make medical diagnoses and Unsupervised Machine learning methods for customer segmentation and product recommendations works on unlabelled and uncategorized data. The paper is an attempt to outline Machine learning and its methods to make supply chain more effective.
Article Details
Unique Paper ID: 155206

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 60 - 64
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