English
简体中文Reimagining Air Routes with AI: How Smart Flight Network Design Is Transforming the Industry
This speech focuses on the application of AI in the field of air travel itinerary splicing. It begins by introducing the current applications of AI in the tourism industry, then analyzes the pain points faced by itinerary splicing, including insufficient accuracy, reliance on manual intervention, data inconsistency, lagging dynamic adjustments, and technical challenges. The speech then explores feasible solutions for AI-powered splicing, such as constructing directed weighted networks, introducing heuristic algorithms and reinforcement learning to optimize itinerary planning, using large models to review itineraries for feasibility, and leveraging federated learning to achieve system evolution and continuously improve the quality of splicing products.
