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Demand and Supply Analytics

Learn how to use data to develop insights and predictive capabilities to make better business decisions.

Demand and Supply Analytics
This course is archived
Future dates to be announced
Estimated 12 weeks
8–10 hours per week
Instructor-paced
Instructor-led on a course schedule
Free
Optional upgrade available

About this course

Skip About this course

How do airlines decide when to increase ticket prices? Should a hotel charge less per night for a long stay than a short one? Why do some software companies bundle very different products together? How should a fashion retailer decide when do start discounting clothes? Why do so many discounted rates end in ".99"? How should a company balance the risk of holding too much inventory on hand and the risk of turning away customers? Does it ever make sense for retailers to lie to suppliers about how much they will need to order? Should retailers with multiple locations hold most of their inventory in a central warehouse or at the individual locations?

These are only a small sample of the operational and pricing challenges all businesses regularly face. These challenges are often addressed individually and in isolation but, in reality, all of these decisions interact with each other. This class looks at the demand and supply management challenges faced by companies in various industries and provides an introduction to the tools that can be used to address these challenges.

At a glance

  • Institution: ColumbiaX
  • Subject: Business & Management
  • Level: Intermediate
  • Prerequisites:

    Undergraduate probability, statistics, linear algebra and calculus.
    Students should have familiarity with basic programming concepts in some procedural programming language.

  • Language: English
  • Video Transcript: English

What you'll learn

Skip What you'll learn
  • To identify, evaluate, and capture business analytic opportunities that create business value
  • Buildmodels to support and help make managerial and business decisions
  • Basic analytical methods and their applications
  • Analyze case studies on organizations that successfully deployed analytical techniques

Class schedule

Week 1 – Introduction
Week 2 – Static price optimization
Week 3 – Dynamic price optimization
Week 4 – Price differentiation
Week 5 – Quantity based revenue management
Week 6 – Network revenue management & overbooking
Week 7 – Customized pricing and consumer choice models
Week 8 – Markdown management and behavioral issues in pricing
Week 9 – Introduction to inventory management
Week 10 – Stochastic inventory management
Week 11 – Miscellaneous topics in inventory management
​Week 12 – Final review

About the instructors

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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