Transforming Customer Support Through Intelligent Conversation

Problem

Independer sought a user-friendly way to help customers navigate complex insurance options, particularly car insurance, without overwhelming them with forms or information overload.

Solution

Ngrane developed “Indy,” an intuitive chatbot that simplifies the insurance selection. By asking personalized questions and integrating real-time data, Indy guides users smoothly to their best-fit options, providing helpful visuals and the option to connect with experts as needed.

Phase 1

Understanding User Needs

In-depth research to understand the most frequent questions and challenges faced by Independer’s users.

Phase 2

Designing the Chat Experience

Crafting a chatbot interface that feels conversational and intuitive, enabling seamless engagement.

Phase 3

Integrating Data Sources

Connecting multiple data points to provide accurate, personalized responses, reducing redundant questions.

Phase 4

Optimization and Machine Learning

Implementing machine learning to improve chatbot accuracy and user satisfaction over time continuously.

More About the Experts Behind Every Solution

Rieven Martis

Developer

David van Delden

Creative Director

David van Delden

Creative Director

Visionary creative leader who blends art and strategy to drive innovative campaigns.

Rieven Martis

Developer

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