case study on housing.com

Company Analysis of Housing.com▪ Ayan Sengupta (09)▪ Dundi Hitesh (15)▪ Loveleen Kaur (21)▪ Sanjeev Kumar (41)▪ Sujan Kumar Biswas (49)

Challenges in Real Estate Rent/Buy/Resale Business

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1.Authentic and verified property information from

Landlord/Brokers.

3.Accurate price predictor platform

for landlord/broker.

4.Property I am looking for already

Bought/Sold.

2 Platform to analyse different aspects of

property like locality, commuting options, children friendly etc.

Technological Differentiator

Key Differentiator at Housing.com is Data Science Lab.Housing is the first online real estate platform that actually has in house data collection team for collecting data

of every listing.Using active learning and deep learning, to turn the massive data-stores of images into structured data as input

for various predictive models.Amazon’s Mechanical Turk as the tool in order to generate data for variety of the products.

Overpriced Property by Broker.Underestimated value of property by Reseller.Information hiding by brokers/resellers

Clueless Customer

Data Route Collection OptimisationOptimizing ever-expanding operations to convert scheduling and routing Data Collectors from an ad hoc system to a structured

one.Devised a mathematical solution based on the Hungarian Algorithm allows to find the minimum cost maximum matching on the

graph and attain an optimal solution to DC collection routing.

Concept of Tiles for visualising Data to End CustomersThe entire planet is mapped to a 2D piece of paper using map projections. One such method is Mercator Projection method for

mapping. Once entire globe is mapped to 2D it can be rendered digitally.The real challenge occurred when user wants to view all listing(density of listing are very high and in real-time) depending on the

focus area and zoom.Housing tiling service renders inventory of properties on transparent images based on map coordinates and can be Overlaid over

google maps in real-time. The tiling service helped in scaling maps efficiently.

Fig: Digital Maps with different number of tiles at different zoom levels. Fig: Housing Tiles.

How Housing.com Enabling the Business?

Fig. Child Friendly Index and Price Heat Map for Delhi

Fig. Inventory Demand Supply Graph for Kolkata

Contd...

Fig: Listing Decay and Visibility Index.

Fig: Housing Lifestyle Rating and Housing Estate.

Online Rental Agreement Facility

Contd...

Create and customise your Own AgreementHousing DC capture photo and fingerprint.Does the registration process.Deliver the agreement at your doorsteps and have to pay only applicable stamp duty and

Registration fee.

THANK YOU Questions?