Back to Supply Chain Analytics
Rutgers the State University of New Jersey

Supply Chain Analytics

Welcome to Supply Chain Analytics - the art and science of applying data analytics to assess and improve supply chain performance! A supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data driven. Through the real-life story and data of a major US telecommunication company, you will learn the analytics tools / skills to diagnose and optimize a supply chain. Upon completion of this course, you will be able to 1. Use data analytics to assess the impact of various strategies on all aspects of a supply chain, from inventory, shipping, to warehouse order fulfillment, store operations and customer satisfaction. 2. Customize the supply chain strategy by product to improve the overall cost efficiency without sacrificing customer service. 3. Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning. VASTA (name disguised) is a major wireless carrier in the US selling cell phones through a national network of retail stores. Recently, it wrote off a huge amount of obsolete inventory each year and was suffering a significant cost inefficiency in an increasingly stagnant market. VASTA must assess the competitive environment, and renovate its supply chain to stay competitive. At the end of this course, you will help VASTA save $billions on supply chain cost and retain its leadership in a stagnant and saturated market. I hope you enjoy the course!

Status: Data-Driven Decision-Making
Status: Analytics
BeginnerCourse9 hours

Featured reviews

CD

5.0Reviewed Apr 22, 2020

Very useful to gain insights about the quantitative analysis of the data collected in any supply chain and apply different strategies accordingly.

SM

5.0Reviewed Jun 7, 2020

An excellent course in supply chain management domain giving an overview about various factors affected in supply chain which leads toward implement a successful supply chain in an organization.

UA

5.0Reviewed Apr 14, 2025

A good course on basic understanding of supply chain analytics, how it can support in switching business models and what are the main area which would effect the overall business dynamics.

NA

5.0Reviewed Apr 9, 2020

A fantastic course wherein there is a right blend of conceptual clarity and numerical rigor to understand the classic trade-off between supply chain costs and customer order service-levels.

S

5.0Reviewed Jun 6, 2020

This course exactly provides the basic knowledge required for supply chain analyst through the simplest ways possible. I found it very useful for applying it to my research

AA

5.0Reviewed Jun 1, 2020

Goods explanations, make me learn an easy way how obtain data that help me to choose the strategy that works better for any product.

SB

5.0Reviewed May 20, 2021

The most amazing part of the course is simplified learnings, I am very much thankful to Professor Yao Zhao who has made joyful learning by making simplified course materials.Thank you!

TN

5.0Reviewed Dec 20, 2020

The course is user friendly and at the right level for beginner to catch up with clear definition and concepts about Push, pull strategy as well as great Excel tactics

YH

4.0Reviewed Jun 12, 2020

This is an excellent course to start with Supply Chain Analytics. It provides a good thought triggering way for Supply Chain Analytics.

AA

5.0Reviewed Jul 24, 2021

this course is really have good information about supply chain analytics. i have learned about the push and pull strategies and how to calculate that which we should prefer.

GV

5.0Reviewed May 2, 2020

The class starts off quite easy actually, Specially if you have experience in logistics. Lots of common sense, but the project is definitely analytical.

SW

5.0Reviewed Jan 12, 2021

Very informative course on Supply Chain Analytics which clears SCM concepts in clear and lucid way. Also gives clarity on how data analytics can be used in making supply chain related decisions.

All reviews

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