A major real estate service provider company wanted to streamline its inefficient real estate agent-servicing process. The existing process required multiple data analysts, with help from the in-house IT support team, to manually collect data from 20+ different data sources. Data received from 20+ sources was in different quality, format and had multiple other challenges. Internal IT support system was not robust and it further slowed the entire process. Also, as it was a manual process – analysts were able to process only a limited number of records, based on priority, creating backlog and struggled to serve their existing and new set of customers. The company approached AIMLEAP – Outsource Big Data help in streamlining its processes and providing end to end solution.

Properties made available in near real time after they appear on the source websites and detects inactive listing faster.


We quickly developed a proof-of-concept for suggested a solution based on Robotic Process Automation to replace the company’s manual processes for collecting data from 20+ sources integrated to a base IT support system.

Saved $40000 per year.

Increased data handling capacity by 60%

Average data processing time reduced by 85%

Real Time
Increased ability to access data in real time

Case Studies