Unlocking the Power of AI Using Customer Care Data to Understand Customer Pain: Building a Data-Driven Chatbot with RAG, Hugging Face, and FAISS

Unlock AI’s power to solve customer pain points! Learn how integrating RAG, Hugging Face, and FAISS into a chatbot can identify issues, personalize responses, and predict needs. Transform customer care with data-driven insights, proactively improve satisfaction, and drive loyalty across industries.

Unlock the power of AI to elevate your customer service! This session dives deep into how integrating Retrieval-Augmented Generation (RAG), Hugging Face, and FAISS into a chatbot can transform your customer care strategy. By leveraging historical customer care data, this AI-driven system can proactively identify, understand, and resolve customer pain points, moving beyond simply answering queries to predicting issues before they escalate.

FAISS allows the chatbot to quickly retrieve relevant customer interactions and historical data, while RAG enhances this with generative models from Hugging Face like BART, crafting personalized, context-rich responses. Together, these technologies enable the system to offer not just solutions, but tailored, human-like interactions that address customers’ unique challenges.

This approach not only improves response times but also uncovers valuable insights about recurring customer issues. Businesses can spot patterns in customer behavior, like frequent payment problems or recurring service complaints, and proactively address these pain points.

In addition to improving real-time customer care, this AI system continuously learns from new data, making it more efficient over time. The result? A scalable, efficient customer service solution that enhances customer satisfaction, reduces churn, and drives long-term loyalty.

Whether you’re in financial services, retail, or any industry with customer-facing operations, this session will show you how to use RAG, Hugging Face, and FAISS to create smarter, more responsive systems that improve both customer experience and operational efficiency. Learn how these powerful AI tools can revolutionize your customer service processes and deliver data-driven solutions that drive success.

This session will include a live demo showcasing an AI-powered chatbot built using RAG, Hugging Face, and FAISS, allowing attendees to see firsthand how these technologies can be used to proactively identify customer pain points and deliver valuable insights. Real-world examples, particularly from industries like financial services, will demonstrate the practical applications and benefits of these tools in customer care and credit risk management.

I am a data analytics professional with over 8 years of experience in data analytics, specializing in leveraging AI, machine learning, and natural language processing technologies to solve business challenges. My expertise includes working with RAG, Hugging Face, and FAISS on projects that integrate data-driven insights to improve customer experiences, operational efficiency, and decision-making in various sectors including finance, retail, and customer service.

This session will provide valuable insights for AI practitioners, product managers, and business leaders who want to enhance their customer service capabilities by integrating advanced AI technologies. Attendees will gain a deeper understanding of how to build and implement AI systems that go beyond answering queries, enabling businesses to anticipate and resolve customer pain points before they escalate. With my extensive experience in data analytics and AI technologies, I am well-equipped to guide attendees through both the technical and practical aspects of leveraging these tools in real-world applications.