The traditional face-to-face survey has been steadily losing competitiveness since the 2010s due to high costs, cumbersome interviewer checks and long data collection times, and the coronavirus epidemic has further discouraged response. At the same time, telephone surveys have become more widespread because they are more efficient in terms of cost and speed.

For companies in the energy services sector, strict national regulation makes it essential to continuously monitor the dialogue with customers. With the pilot solution, EON can predict cases that cases that threaten consumer protection action.

Consolidation of customer satisfaction information received from different data collection channels, automation of database construction. Instead of ad-hoc solutions, the development of a process provides a solution to manage the data assets, directly extracting the information needed for improvements.

Clementine supports the work of law enforcement organizations in prevention and investigation by helping them processing data from unstructured data from historical and online sources using data mining and text analytics.

An AI based virtual assistant can make the processing of loan applications faster, more efficient and reduce decision time.

In an increasingly competitive market the quality, speed, accuracy, compliance and controllability of customer service are becoming extremely complex. With the solution developed for OTP Bank, the financial institution has improved the quality control of its customer service.

Want instant response to e-mail in the customer service? Artificial intelligence to accelerate communication and increase customer satisfaction. Analysed messages can be used as structured data for further analysis.

A text analytics solution using machine learning technology is used to prioritize customer requests at OTP customer service. A “virtual assistant” is working for the customer service, significantly reducing the time spent on a case.