Enhancing Customer Service in Retail: Leveraging LLMs for Smarter Responses

Enhancing Retail Service with AI-Powered QnA Bots for Faster, Smarter, and Scalable Customer Support

The retail industry is evolving rapidly, and customer expectations for fast, accurate, and personalized support are higher than ever. This white paper explores how the Retail QnA Bot, powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), transforms customer service by automating responses, reducing workload, and continuously improving through feedback.

Here You Will Know:

• Smarter, Faster Support – Deliver quick, context-aware responses that reduce customer wait times.
• Seamless Knowledge Integration – Convert product manuals, FAQs, and emails into a structured knowledge base.
• Boosted Efficiency – Automate routine queries to lighten agent workload and focus on complex issues.
• Scalable & Cost-Effective – Adapt to growing data needs without costly fine-tuning.
• Continuous Improvement – Enhance accuracy and relevance through user interactions and feedback.