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[Case Study] Customer Support Automation System

Automate customer support available 24/7 using natural language processing!

We would like to introduce a case study of the development of a "Customer Support Automation System" at our company. During the development, we faced challenges such as improving the flexibility in responding to ambiguous inquiries. In response to these challenges, we implemented a BERT-based natural language understanding model, incorporating self-learning capabilities from dialogue history and emotion classification logic. 【Technical Challenges】 ■ Improving flexibility in responding to ambiguous inquiries ■ Organizing FAQ data and continuous learning ■ Ensuring quality in emotion analysis and complaint handling *For more details, please download the PDF or feel free to contact us.