Supply Chain Analytics: Build-To-Stock Supply Chain Capability Model

Published On:
December 17, 2019
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This build-to-stock supply chain capability model report shows the results from APQC's 2019 research into analytics and how it is used in various parts of the supply chain, how the efforts are structured and funded, the business challenges analytics is helping solve, and how organizations are measuring the performance of their supply chain analytics.

Increasingly powered by new and emerging technologies including machine learning, supply chain analytics fall into five categories: descriptive, diagnostic, predictive, prescriptive, and cognitive analytics.