• Hemish Prakashchandra Kapadia
• Krunal Bharatbhai Thakkar

By automating the production of customized content in real-time, generative AI is revolutionizing the customer service industry. This study introduces an AI-powered system that uses real-time product usage data and customer inquiries to create personalized support materials, including FAQs, tutorials, and troubleshooting tips. The system's capacity to automatically customize support materials to target certain client issues, offering a highly customized and on-demand support experience, is where the innovation resides. The system uses sophisticated machine learning algorithms to examine past data, product behavior, and customer interactions in order to produce pertinent, solution-focused, and contextually relevant support materials. By providing prompt, accurate solutions, lowering reliance on human support representatives, and speeding up response times, this strategy improves customer happiness. Furthermore, the system has the ability to dynamically update and improve its knowledge base, guaranteeing that the generated material is correct and pertinent. This study examines the possible drawbacks associated with content quality, ethical issues, and the requirement for human oversight, even if the use of generative AI in customer service offers substantial operational efficiency and cost savings. Businesses may provide a more responsive, effective, and engaging customer support experience by incorporating generative AI into their customer service operations.

Generative AI, Customer Support, Real-Time Content Creation, Personalization, Machine Learning, Support Resources, FAQs, Troubleshooting Guides, Customer Experience, Operational Efficiency.

"Generative AI for Real-Time Customer Support Content Creation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.i36-i43, December-2023, Available :http://www.jetir.org/papers/JETIR2312805.pdf

"Generative AI for Real-Time Customer Support Content Creation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppi36-i43, December-2023, Available at : http://www.jetir.org/papers/JETIR2312805.pdf