A tale of an AI enabled chatbot that elevates customer experience






AI and Machine Learning



In a Nutshell.

  • The FAQ Chatbot leverages OpenAI’s GPT-3.5 and BERT models, showcasing a state-of-the- art solution for natural language processing
  • Meticulously trained on a curated dataset, ensuring highly accurate and contextually relevant responses to a diverse array of FAQs
  • Overall customer satisfaction increased by 63%, thanks to quicker response times and personalized interactions

Interested to know more?

Our client is a leading fintech company based in Japan, sought to revolutionize customer interactions through the integration of an AI chatbot into their financial services. Recognizing the evolving demands of their tech-savvy customer base, our client aims to enhance user experience, streamline customer inquiries, and ultimately foster a more efficient and personalized engagement.
The existing customer support infrastructure is experiencing bottlenecks, leading to extended waiting times and potential delays in resolving financial queries. Additionally, the growing demand for personalized services in the digital era necessitates a more advanced and efficient solution. To overcome these obstacles, there is a critical need to implement an AI enabled chatbot that can streamline customer interactions, reduce response times, and enhance the overall customer journey.


Our FAQ chatbot application is a cutting-edge solution leveraging OpenAI’s and BERT model. It has been meticulously trained on a curated dataset of frequently asked questions and answers, enabling it to provide users with highly accurate and contextually relevant responses.

When a user submits a query, the chatbot processes the input, grasps the context, and retrieves the most suitable response from its knowledge base. What sets our chatbot apart is its proficiency in delivering context-aware answers, recognizing that the same question may necessitate different responses based on the context.

Users can engage in natural language conversations, receiving human-like and dependable answers. Moreover, the application’s architecture is scalable and adaptable, making it suitable for diverse domains and industries. Overall, our Chatbot application excels in accuracy and reliability, enhancing
user experiences across various information-seeking scenarios, from customer support to knowledge retrieval.


1.Reduced Human Errors: Automation reduced the risk of human errors in customer interactions, improving the quality of service.
2. Multilingual Support: Chatbot provided multilingual support (English and Japanese) without the need for hiring and training multilingual customer support agents.
3.Quick Response to FAQs: Excels at addressing frequently asked questions, reducing the workload on human agents and enabling them to handle more complex issues.
4.Enhanced Customer Support: 24/7 customer support, addressing inquiries promptly. This led to a 63% increase in customer satisfaction
5. Multiple Implementation: Effortlessly collects customer information which could later be used for re-marketing purposes.

Tech Stack

Related Case Studies

AI-Driven Face Recognition Automates Payroll And Attendance

Innovature proposed a tracking system where employee personal details and their physiological characteristics are mapped onto their respective profiles and equipped to track the activities. The system enables the company to stay connected with their employee and monitor everything about them inside the company, thus bringing a considerable end to the time-theft activities.

Read more →