Generative AI Chatbot for Dynamic Travel Rebooking
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Solution Overview
Problem
Conventional systems for addressing weather-related and other travel interruptions do not provide personalized rebooking options, especially those allowing for rebooking with entirely different routing options, destinations, or modes of transportation.
Innovation Solution
The implementation of an interactive generative artificial intelligence system that interfaces with affected travelers, geolocation computing systems, and computing systems to generate alternative routing options for electronic travel itineraries, providing textual and visual indications of available alternatives and enabling automatic rebooking or handoffs to external systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional IRROP systems re-route travelers to the same location in the original booked itinerary, then operational simplicity is maintained, but traveler flexibility and personalized options are limited
Solution Approach 1:
The system segments the rebooking process into multiple independent components: an interactive generative AI chatbot for traveler interaction, a machine learning model for option generation, and external booking systems for execution. This segmentation allows each component to specialize in specific tasks, enabling personalized rebooking options without overwhelming system complexity.
Solution Approach 2:
The interactive generative AI system serves as an intermediary between travelers and the complex rebooking infrastructure. It translates traveler needs into structured requests, generates personalized routing options using machine learning, and coordinates with external booking systems, thereby providing versatility while shielding travelers from underlying system complexity.
2Productivity
If human agents manually assist travelers with rebooking, then personalized service is provided, but operational costs and response time increase
Solution Approach 1:
The system enables travelers to initiate and complete rebooking through an interactive chatbot interface without requiring human agent intervention. The machine learning model automatically generates personalized routing options based on traveler preferences and real-time data, allowing travelers to self-select and book alternative itineraries, thereby dramatically improving productivity while eliminating agent availability constraints.
Solution Approach 2:
The patent replaces the mechanical system of human agents manually processing rebooking requests with an automated intelligent system. The interactive generative AI chatbot processes natural language queries, the machine learning model generates routing options, and external systems execute bookings, substituting human manual operations with automated computational processes that operate continuously without fatigue or delay.
3Ease of operation
If conventional systems offer limited rebooking options, then system simplicity is maintained, but traveler satisfaction and alternative routing acceptance decrease
Solution Approach 1:
The system dynamically adjusts rebooking options based on real-time inputs including traveler preferences, historical data, current weather conditions, and availability from multiple carriers and travel modalities. The machine learning model continuously learns from interactions to personalize options, making the system adaptable to diverse traveler needs while maintaining ease of operation through the intuitive chatbot interface that presents options in an accessible format.
Data Source
AI summary
Response to interruption of a travel itinerary of a traveler, systems and methods configure an interactive generative artificial intelligence system to provide an electronic chat interface for a traveler and provide prompt responses to the traveler including information on the interruption and optionally an automatically rebooked itinerary. Additionally, the interactive generative artificial intelligence system receives prompts based on prompt inputs from the traveler and accesses routing data corresponding to one or more alternative travel itineraries. The routing data may include different travel locations and different travel modes determined based on the prompt inputs provided by the traveler to the interactive generative artificial intelligence system. Prompt responses containing information on alternative travel itineraries generated via interactive generative artificial intelligence system are displayed to the traveler.