aiPOCKET

CASE STUDIES

Automating stock price information and trading procedures with a chatbot, and creating a system to handle complex requests on the next business day.

  • securities

Securities Company Finance Stream

2025.03.30
Securities Company Finance Stream
Challenges
An increase in inquiries related to stock price information and trading procedures. There was a particular challenge with customer support outside of trading hours.
Solutions
Implemented a chatbot to automate real-time stock price information and basic trading procedure explanations. A system was established where complex requests are handled by a representative on the next business day.
Results
・Inquiry response time reduced by 50%.
・Customer satisfaction for nighttime support increased by 70%.
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