This Traveller Scorecard assesses the current state of AI in travel planning, revealing critical shortcomings. AI agents struggle with understanding nuanced travel intent, scoring only 3/10. Budget optimisation across venues is non-existent (1/10), and AI interfaces lack memory of user preferences (1/10). Resolving competing priorities (2/10) and refining ideas through exploration (4/10) show limited capability. Delegating intent resolution as a task is also impossible with current systems (1/10). Taash's agent-ready infrastructure offers a solution to these challenges, enabling super-agents to create truly orchestrated trips based on context-aware discovery and match on fit for each traveller's AI Profile and Character settings. This allows for coordinated booking and a seamless travel experience.
