Challenge:

For many years, Versicherungskammer used a conventional DTMF IVR hotline. Approximately 40% of all callers either made no selection at all or made a wrong one, resulting in incorrect call steering. This caused customer discontent and inconveniences for the contact centre agents handling the queries, and also increased costs for the insurance company.

Solution:

The Virtual Assistant uses natural language understanding delivering high-precision intent recognition for accurate, automatic call steering in accordance with insurance categories: liability, motor vehicle, home insurance, etc. The agent gets the customer conversation keywords/summary on the screen when taking the call, being prepared for high-quality customer service.

Benefits:

  • Lower operating costs, increase in turnover, better contact centre metrics;
  • Employees can use the time saved for value-adding customer service;
  • Improved customer and employee experience; less waiting time on the line for customers;
  • Improved efficiency by high-precision intent recognition and skill-group selection;
  • Added value of a text pop-up containing the conversation summary helps the operator grasp the topic from the start;
  • Misdirected calls have been reduced from 40 % to 15 %;
  • Smart service for the digital generation improves the company’s image with a tangible sense of innovation.

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