Machine Learning for Supply Chain Data Quality Management
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Machine Learning (ML) based algorithms are slowly percolating into a wide variety of supply chain planning solutions. However, they play a key role in foundational aspects of supply chain planning as well, particularly in data quality management. Data quality has emerged as one of the aspects SAPinsiders have highlighted in their responses to our upcoming research report survey, Supply Chain Planning in the Cloud. In this article, we share a few ways Machine Learning (ML) algorithms are already being used for supply chain data quality management. We will specifically use vendor or supplier data management for these examples. Readers will learn:
• What are examples of areas where ML can be used for data quality management?
• What are some of the commonly used ML algorithm categories for data quality management?
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