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Case Studies
Case Study

Developing an Interactive Chatbot for Efficient Fleet Vehicle Damage Regulation

We developed an interactive, 24/7 available chatbot that guides customers through the process of reporting damages, processes these reports, and thus relieves the call agents.

  • Industry Insurance
  • Topic GenAI
  • Tools Azure OpenAI
  • Duration 2 months

Challenge

Our client, a fleet insurance company, aimed to optimize the damage handling process for company vehicles. The goal was to efficiently report common damages like scratches and reduce the burden on call agents.

Approach

We developed an interactive chatbot that guides customers through a multi-step damage reporting process. The chatbot uses AI-powered agents and supports various interaction forms, including:

  • Text
  • Clickable elements
  • Voice input (Voice-to-Text)
  • Image uploads

The chatbot can autonomously respond to uncertainties or escalate the user to a human agent if needed. Our approach enabled natural and efficient communication between customers and the insurance company.

Results

The implementation of our interactive chatbot led to significant outcomes:

  • Reduced burden on call agents and 24/7 availability
  • Natural communication through AI-based service agents
  • Simple one-step solution in customer interaction
  • 1/3 of inquiries can be fully automated, and 1/3 handled in collaboration between human and machine

Expert

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