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Volver a Inventory Analytics

Opiniones y comentarios de aprendices correspondientes a Inventory Analytics por parte de Universidad Rutgers del Estado de Nueva Jersey

171 calificaciones

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Inventory analytics is the corner stone of supply chain analytics. A company in trade industries may have 30-50% of their assets tied up in inventory. An effective inventory management can improve revenue by increasing product variety and availability, and reduce cost and speed up cash cycle by reducing excessive inventory and waste. Through real-life examples (e.g., Amazon vs. Macy’s), you will learn hands-on tools and skills to discover and solve inventory problems by data analytics. Upon completion, you can answer the following questions: 1. For which industries is inventory important? 2. How may inventory drive a company’s financial performance? 3. How do I know that I have an inventory problem? 4. How to classify inventory and manage it accordingly? Note: This course is for beginners and thus focuses more on discovering inventory problems than solving them. It is my belief that discovering a problem and knowing which directions to go is at least equally important as solving the problem. We are planning to launch new courses or expand this course to cover more sophisticated inventory solutions in the future - thank you....

Principales reseñas


2 de jul. de 2020

This is an excellent course for those who would like to get the exact knowledge of how inventory is classified and its importance in industry


1 de abr. de 2021

I have gained tangible knowledge through this course. It is one of the best courses I have studied in Coursera Platform.

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26 - 30 de 30 revisiones para Inventory Analytics

por Vishal R S

27 de mar. de 2021

More case studies needed

por Shrikant P

12 de jul. de 2020


por Fabiola R W

13 de nov. de 2020

Just fine, not exceptional. Has some pretty basic concepts, maybe I would have liked to dig somewhat deeper in them.

por Adrian S

4 de mar. de 2021

no me fue posible continuar por el idioma, ni tenia la facilidad de subtítulos o alguna herramienta que me ayudara a traducir.

por Jacob J R

28 de may. de 2022

did not understand one thing.