AT A GLANCE
Beam Data developed an AI-driven chatbot to enhance customer support by automating responses to FAQs, reducing the support team’s workload by 40%, and providing 24/7 instant assistance. The project included AI chatbot development, a streamlined interface using Streamlit, and Docker-based deployment for consistency and scalability.
Client information
CHALLENGE
The client was seeking to improve customer support by reducing response times and manual intervention in addressing queries from carriers and drivers.
SOLUTION
A chatbot leveraging the Langchain RAG model was developed within a Docker container to provide efficient query understanding and information retrieval. A streamlined Streamlit interface ensures seamless interaction, enabling carriers and drivers to quickly input queries and receive accurate responses. Docker containerization ensures application consistency and stability across deployment environments, further enhancing the reliability of the solution.
IMPACT
TOOLS
Working with the team at BeamData was an insightful and fulfilling experience. As CEO of DriverDX Inc. I had zero working knowledge in Artificial intelligence, machine learning, large language models and chatbots. Each member of their team excelled in their specific department and thoroughly delivered the information in everyday language I could retain, and share.
Ready to achieve measurable results? Tell us about your challenges, and we’ll show you how we can help
