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Demand Unconstraining Methods
Popescu, Dana; Boatright, Benjamin Technical Note QA-0934 / Published October 26, 2022 / 8 pages. Collection: Darden School of Business
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Product Overview

This technical note examines two common methods for estimating customer demand using historical data observations that are constrained by availability. First, this note explains how to leverage the averaging method for unconstraining the demand of airline ticket bookings. Next, the expectation-maximization algorithm is introduced using historical product sales data. Both examples rely on fictious data, and an accompanying Excel workbook provides example calculations for both methods highlighted in this technical note.




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  • Overview

    This technical note examines two common methods for estimating customer demand using historical data observations that are constrained by availability. First, this note explains how to leverage the averaging method for unconstraining the demand of airline ticket bookings. Next, the expectation-maximization algorithm is introduced using historical product sales data. Both examples rely on fictious data, and an accompanying Excel workbook provides example calculations for both methods highlighted in this technical note.

  • Learning Objectives