Research Library > FusionOps > Machine Learning: A Quantum Leap in Forecast Accuracy for the Modern Supply Chain

Machine Learning: A Quantum Leap in Forecast Accuracy for the Modern Supply Chain

Published By: FusionOps
FusionOps
Published:  Jun 15, 2016
Length:  8 pages

Whether you realize it or not, machine learning is having a profound impact on your everyday life. Companies like Google and Netflix use machine learning algorithms to make content recommendations that align with your unique preferences. Amazon uses it to predict what you’re going to buy next. Now this powerful technique has come to the supply chain in the form of accurate demand forecasting.

One of the key benefits of machine learning is its ability to create many different models that pick up on data patterns missed by traditional, human-configured forecasts. By pooling these models together, machine learning can improve forecast accuracy by more than 20%.

The supply chain generates huge volumes of data captured in ERP, CRM, demand planning and other systems. Download this whitepaper to learn how FusionOps Machine Learning can provide companies with a more accurate, granular understanding of their business by harmonizing these disparate data sources in the cloud, and applying machine learning algorithms.



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