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Supply Chain Analytics and Use Cases – a Guide to Data-Driven Supply Chains

Aktualisiert: 23. Aug. 2019

Supply chain #analytics aim to reduce cost and improve service by enabling data-driven decisions at strategic, operational and tactical levels. The guide below links academic disciplines and their key methods (“analyst's perspective”) to commonly addressed business questions and available use cases (“business perspective”). It shows at a glance how terms like #machinelearning, #neuralnetworks, #regression, #optimization, #simulation etc. are related to each other and which uses cases they typically support.

You can download the guide here. Please feel free to share.

You can learn more about our services regarding analytics and innovative supply chain solutions here.


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