Magicbricks launches `PropWorth 3.0` for unparalleled user experience

Magicbricks launches 'PropWorth 3.0' for unparalleled user experience

Last Updated: Tue, Jan 10, 2017 14:45 hrs

[India], Jan 10 (ANI): Online real estate portal Magicbricks has announced the launch of 'PropWorth 3.0', India's first and only anytime, anywhere app for property evaluation.

The new version of PropWorth will offer an unparalleled user experience with unique and exclusive features than its previous version.

Within few months of launch by Magicbricks, the former version of

PropWorth app was already a hit amongst property enthusiasts, with close to a lakh people browsing it.

The new version PropWorth3.0 will offer better price estimation, unit configuration and will also allow end users to follow their favorite projects/localities to remain updated about latest price trends.

It also allows home seekers to voice their opinion through the polls related to real estate sector. Also, the smart notifications let the user remain abreast with latest price trends in their localities.

"PropWorth is the first of its kind app to be launched in India. With little credible information available on right prices and the uncertainty surrounding property prices post demonetization, the app will prove beneficial for buyers and sellers both as they will be up-to-date with prices of properties, thereby enabling them to transact intelligently," said CEO Magicbricks.com, Sudhir Pai.

The new version is storage friendly with 4MB app size and will soon be launched for IOS users as well. The app can be used by different consumer sets, e.g. an owner of multiple properties, can use this app to track his real-estate portfolio, property buyers can use this to conveniently find the prices of any property.

Even agents use this app to benchmark the price of a property. All the computations of the app are based on the real user generated data points which are collected and updated daily, thus making the predictions richer every single day.

The intelligent checks in the algorithm weed out the anomalies in the data. The research take into account more than 20 variables like location, demand-supply and various trends based on last 10 years of property related data. (ANI)



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