Your personal data shared with us through this form will only be used for the intended purpose. The data will be protected and will not be shared with any third party.
The client
The client is a debt collection company based at USA. They audit government agencies across the country to identify money owed to companies and individuals.
The Challenge
The client wants to extract data from various websites and agencies to identify their prospective customers for offering their services. The real challenge is to collate data from various sources at a shorter period of time. The task cannot be accomplished through manual work as it will consume lot of time and money.
The Solution
We proposed an automated solution of web scrapping for data extraction from various sources. The process is collecting data in an automated way by crawling websites, directories and agency lists. The process is the fastest solution with high accuracy.
The collated data needs to be analysed on various parameters hence we proposed Robotic Process Automation (RPA) process which needs to be used to pull out various reports and analytics.
The Success
The project was a great success and the client is happy with the results. The overall process life cycle is reduced to a larger extend and accuracy levels are very high compared to manual work.
In today’s enterprise environment, where pace, performance, and narrow margins are the measure of success, cost op...
Read Blog
In AI and machine learning, quality data annotation will make all the difference between models that work and those that...
Read Blog
Infosearch provides the best image classification services for image recognition and image processing. The power of imag...
Read Blog
The business is founded on innovation, velocity and ambitions, yet coupled with resource limitation and a small workforc...
Read Blog
Looking further into 2026, outsourcing is becoming a strategic tool that businesses use in addition to a cost-effective ...
Read Blog
As the digital world is being transformed, businesses are producing data faster than ever. However, to transform that da...
Read Blog
