Supply Chain Analytics in the Consumer Products/Packaged Goods Industry

Published On:
December 17, 2019
Authored By:
APQC
Members-Only Content:

This consumer products/packaged goods industry 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.

Also found in Analytics in the Supply Chain
Type:
Data and Measures
Topics:
Supply Chain Management, Supply Chain Analytics
Industries:
Consumer Products/Packaged Goods
Tags:
Machine learning, Advanced analytics, Big Data

Related Resources