Problem

A real estate investment firm has to do a regular analysis of the real estate market in the region to analyze the general real estate trends and identify desirable properties for acquisition. An employee has to spend a lot of time collecting information from italian real estate websites. New properties that match company criteria are saved in an excel file and the real estate metrics are calculated using property information such as price, area, location and amenities. Finally, a list of desirable properties is created according to predefined business rules for further review.


Solution

We built a digital robot to automate the data collection process and list generation. The robot searches the real estate websites for new properties, extracts all the required information and saves it in an excel file. Then, the robots calculates the business metrics, identifies the desirable properties and creates a report. Finally, the robot emails the report and the list of desirable properties to the employee.


Impact

The employee went from spending 40 hours every month to just 2 hours. The robot works much faster to the company can cover a much larger region and perform the analysis every week instead of every month. The robot also processes a larger number of properties to ensure no real estate opportunities are missed.


95%

Time Savings

From 40 hours per month to 2 hour

10X

Increase in Coverage

From a single city to the entire region

4X

Increase in Frequency

Analysis once a month to once a week

Results

Zero Mistakes

The robot never makes a mistake. It calculates all real estate metrics and executes the business rules perfectly so no employee time is wasted.

Greater Coverage

The robot works much faster than humans so it can collect real estate data from a much larger area and process a lot more properties ensuring no opportunity is missed.

Higher Frequency

Since a human is no longer required, the analysis can be done every week instead of only once a month leading to faster reaction times.



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