AI chatbot for retail bank
- #Chatbots
- #Large Language Model
- #Text analysis
For whom
An AI chatbot for retail banks that struggle with high volumes of customer inquiries, aiming to balance between qualified customer support and its cost.
Business Challenge
Banks serve millions of customers, offering various financial services and providing essential daily assistance. However, the sheer volume of diverse inquiries and the constant need for 24/7 support pose significant challenges for traditional customer service models.
While banks have increasingly adopted chatbots to automate customer support, previous generations have often fallen short. Their inflexible logic and limited capabilities in building dialog trees made them inefficient, and the high setup costs and ongoing maintenance requirements for content updates, structuring, and translation added to the challenges.
Then, the question is: how can banks effectively navigate the evolving landscape of customer expectations while maintaining a balance between service quality and its cost?
Solution Overview
Quantum AI Chatbot for retail banks is designed to overcome these challenges. It utilizes the power of the large language model to offer immediate customer support service improvements by providing customers with in-depth information, advanced troubleshooting, or specialized guidance, improving customer satisfaction and streamlining support processes. The LLM technology also empowers the chatbot to engage in human-like interaction with multilingual capabilities and 24/7 availability.
Our AI-powered chatbot is incredibly easy to set up. It trains itself from existing bank services information or website content and data in an unstructured format. With the ability of contact center specialists to seamlessly intervene in conversations, the AI chatbot collects customer feedback and provides personalized information via integration with your databases, delivering an excellent user experience.
Installed locally within a secure perimeter, the AI chatbot for retail banks doesn’t share any information with external services, ensuring the utmost privacy for bank customers and financial institutions.
Let's discuss your idea!
Technological Details
Quantum’s AI chatbot utilizes the Mistral 7x8b LLM within the Langchain framework, optimizing query responses in customer service. This combination, featuring PostgreSQL for precise document retrieval, was chosen for its accuracy and effectiveness in complex query handling. A key aspect is the chatbot’s design for potential local deployment, which offers data management and customization flexibility.
Front-end integration options ensure a smooth customer experience, with choices such as web chat widgets, mobile SDKs, and messaging platform integrations. On the back end, the AI chatbot provides OpenAPI and Swagger documentation for seamless integration with existing corporate solutions.
