What goes into an apartment price estimate on Didibood?

A price estimate is most useful when people understand what it represents.

Didibood offers approximate apartment sale-price estimates in supported Iranian cities. The estimates use listing data and a machine-learning model to help users explore the market and compare property options.

This is one part of the wider search experience: a person can explore an estimate, compare neighborhood prices and then look at actual homes advertised in the area. Each step adds a different kind of context.

Because the source is listing data, the result should be read as an approximate market estimate. An advertised asking price and a completed transaction are different observations, and the details of an individual apartment still matter. Coverage also varies by city.

Explore the price-estimate section: https://didibood.ir/price

If you use estimation tools, what explanation helps you most: the data source, the property details considered or the uncertainty around the result?