The travel and aviation industries are accelerating their transition to artificial intelligence (AI) to improve operational inefficiencies caused by repetitive manual tasks and dispersed data. By integrating AI into processes that previously required employees to search for and input information, companies aim to reduce processing times and allow staff to focus more on core tasks and customer service.
AllMyTour, a global bed bank solution provider, is advancing its 'Project Talos' to establish an AI agent-based autonomous hotel operation system. This project features a core technology called 'digital twin ontology,' which creates a standard map that AI can understand to manage hotel operations. Without replacing existing systems, data can be connected so that employees can interact with AI to check room statuses and request actions such as check-in restrictions or changes after repairs.
In June, AllMyTour launched its first project (Proof of Concept) at the 372-room, four-star Seoul Garden Hotel. Development personnel and operational experts are on-site to assess data conditions and build an optimized operating system. The company expects to automate over 80-90% of simple repetitive tasks through this initiative. By the first quarter of next year, AllMyTour plans to establish AI components necessary for key hotel operations and expand its application to local three- and four-star hotels as well as international markets in Japan, Taiwan, and Vietnam.
Korean Air recently developed a new maintenance defect analysis system that combines generative AI and cloud technology. When maintenance personnel input defect symptoms or situations in natural language, the AI retrieves relevant maintenance history and similar cases. It processes abbreviations and unstructured records used on-site into standard sentences, extracting key information such as major actions and defect locations.
Additionally, Korean Air has integrated over 90 scattered databases and millions of maintenance records into a single system. This allows for simultaneous checks of defect cycles by aircraft type and registration, recurrence of defects, and repair histories of parts. At the 2026 World Smart City Expo held in September, Korean Air also showcased an intelligent maintenance automation system where inspection drones and ground rovers scan aircraft exteriors to detect defects and report them in real-time.
Hana Tour has introduced an 'AI Incentive Agent' to automate the process of generating incentive travel quotes. When customers input requests via voice, documents, or chat, the AI analyzes the information and instantly creates a quote request. This shifts away from the previous method where agents manually entered dozens of items, as the AI automatically fills in values beyond essential items based on context and data, allowing agents to review and modify only the final results.
Moreover, the system supports mobile environments, enabling real-time quote registration without location constraints, thus resolving previous delays in registration. Hana Tour aims to minimize simple repetitive tasks through this AI agent, allowing employees to focus more on core responsibilities such as customer consultations and product planning.
* This article has been translated by AI.
Copyright ⓒ Aju Press All rights reserved.