OPTIMIZING HOTEL GUEST SEGMENTATION USINGK-MODES AND KNEEDLE ALGORITHMS

Generative AI (GenAI) offers significant opportunities to assist customer service personnel by generating natural-language responses, explaining complex information, and adapting messages to various customer needs. However, because AI-generated text carries risks of factual inaccuracy, missing details, and context misalignment, organizations cannot rely solely on its fluency.

To address these challenges, a Human-in-the-Loop (HITL) approach emphasizes essential human oversight to review and validate AI outputs—a necessity particularly critical in immigration and visa consulting services like PT Global Bali Visa, where regulations and procedures frequently change. Ultimately, this case study aims to examine how combining AI assistance with human judgment creates a clear, accurate, and responsible communication workflow without the need to develop new software applications or autonomous chatbots.