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CASE STUDY September 17, 2023

Condo Pricing Model helped Estimate Prices with an Error Rate of 5% for a US-based Real Estate Company

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Business Objective

Our client, a large real estate company based in the US wanted to leverage a condo pricing model based on analytics to determine prices for their condos.

The client wanted to re-look at the current pricing, which was not optimal, and build a tool that would help price various condos. Their existing methodology for determining condo prices involved keeping track of similar sales in the region and determining prices intuitively.

Challenges

  • Incorporating the effects of the location of a building, which are not easily quantifiable
  • Numerous correlated factors, such as square footage, number of bedrooms, bathrooms, floor height, patio area, view, etc., have to be considered
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