Corporate Travel Recommendations With ESG Offset Matching
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Solution Overview
Problem
Corporate travel platforms often fail to provide users with insights into alternate travel options that align with environmental, social, and governance (ESG) policies, limiting their recommendations to cost and eligibility criteria while omitting ESG-related goals.
Innovation Solution
A generative artificial intelligence (AI) platform is utilized to integrate ESG data and offset programs, generating travel recommendations and associated offsets by converting user requests and corporate policies into vector embeddings, applying a trained AI model, and outputting a travel itinerary with carbon offset options aligned with the corporation's ESG goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If corporate travel platforms limit recommendations to cost and eligibility criteria, then policy compliance is maintained, but ESG-related goals are omitted and users lack insights into alternative travel options
Solution Approach 1:
The patent combines ESG criteria with traditional travel recommendation systems by integrating environmental, social, and governance factors into the existing cost and eligibility filtering mechanisms. This merging allows the system to provide comprehensive travel options that simultaneously satisfy policy compliance and ESG goals without requiring entirely separate systems.
Solution Approach 2:
The patent introduces an intermediary layer that processes and translates ESG data into actionable travel recommendations. This intermediary component bridges the gap between raw ESG information and user-friendly travel options, enabling the system to deliver ESG-aligned recommendations while maintaining manageable complexity through structured data transformation.
2Adaptability or versatility
If traditional travel platforms are used, then existing infrastructure is maintained, but alternative travel options aligned with ESG policies are not provided
Solution Approach 1:
The patent applies preliminary action by pre-processing and structuring ESG data before it is needed for travel recommendations. ESG criteria, offsets, and sustainability metrics are prepared in advance and integrated into the recommendation engine, enabling the system to quickly adapt to various travel scenarios while providing comprehensive ESG information without real-time processing delays.
3Reliability
If ESG data and offset programs are integrated, then travel recommendations align with sustainability goals, but system complexity increases
Solution Approach 1:
The patent segments the complex ESG integration task into manageable modules: ESG data collection, processing, recommendation generation, and offset calculation. Each module handles a specific aspect of ESG integration, allowing the system to achieve reliable ESG alignment while keeping individual components simple and maintainable. This segmentation enables independent development and testing of each functional area.
Data Source
AI summary
Systems and methods are provided for identifying travel options, for users, consistent with corporate policies. One example computer-implemented method includes receiving, from a user, a travel request for travel from an origin to a destination and retrieving additional input data including environmental, social and/or governance (ESG) goals of a first entity, with which the user is associated, and a carbon offset program of the first entity. The method also includes applying a generative artificial intelligence (AI) model to the travel request, the ESG goals of the first entity and the data representative of the carbon offset program, to generate an output travel recommendation that includes a travel itinerary and a carbon offset purchase option. The method then includes presenting the travel recommendation to the user and purchasing the carbon offset option from the recommendation, from a participant, in response to acceptance of the travel recommendation by the user.