Case Study
Our client is an online platform that provides information about local events happening across the United States.
They needed a way to collect and label data specific to hundreds of thousands of events across the country. The platform’s existing process of manually extracting and aggregating data was both time-consuming and inefficient. As the number of events listed on the platform increased, the process became increasingly unmanageable, and our client risked losing customers due to the slow response times and inaccurate event data.
To solve this problem, we established a process that complemented the existing technology-based solution with service agents for data extraction and aggregation. By leveraging human expertise and technology, we were able to quickly and accurately collect and label event data, providing customers with up-to-date and relevant information about events happening in their area.
The new process proved to be highly effective, allowing our client to process and compile hundreds and thousands of events a day. The accuracy and timeliness of the data provided by the platform improved significantly, resulting in increased customer satisfaction and a boost in the number of users on the platform. The new process also allowed our client to expand its event listings to cover more cities and regions across the country, making it a one-stop-shop for event information. Overall, the process implemented by our client helped the company to add business value, improve customer satisfaction, and stay ahead of its competitors in the online event information space.