Topic starter
14/07/2026 4:25 pm
TL;DR: A global survey of 4,060 consumers found that 81% now use digital platforms for travel planning, 26% already rely on AI tools, and 53% say identity verification steps sometimes or often cause booking abandonment, according to Riskified. The trust gap between discovery and purchase now shapes fraud controls, checkout design, and identity verification choices.
Editorial analysis by NHI Mgmt Group, based on content published by Riskified: “Riskified Study: As AI Drives a Summer Travel Boom, Clunky Security and Scam Fears Threaten Merchant Conversions”.
By the numbers:
- 81% of consumers use digital platforms for travel planning.
- 26% already rely on AI like ChatGPT or Gemini.
- 53% say identity verification steps sometimes or often lead them to abandon a booking.
Key questions
Q: What breaks when checkout verification is too aggressive in travel booking flows?
A: Excessive verification breaks conversion because legitimate buyers interpret repeated prompts, delays, and data requests as friction rather than protection.
Q: Why do AI-assisted shopping journeys change fraud and identity risk at checkout?
A: AI-assisted shopping compresses discovery and comparison, which means more shoppers arrive at checkout with urgency already built in.
Q: How can merchants tell whether verification is working or just driving abandonment?
A: Merchants should compare challenge completion, fraud loss rates, and post-challenge abandonment by transaction type.
Practitioner guidance
- Segment verification by transaction risk Use transaction value, device confidence, ticket scarcity, and fraud history to decide when step-up verification is warranted, rather than applying the same challenge to every shopper.
- Measure abandonment after each control step Track where customers exit after payment checks, identity prompts, or ticket validation, and compare that against fraud capture so the control impact is visible.
- Separate discovery trust from purchase trust Treat AI-assisted search and checkout as different risk phases, with the first informing intent and the second carrying the sensitive data and payment exposure.
Bottom line: AI travel planning is now mainstream, but trust still breaks at the purchase stage when merchants ask for sensitive payment or identity details.
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This topic was modified 6 hours ago by NHI Mgmt Group
14/07/2026 4:32 pm
AI travel planning has created a trust handoff problem. Consumers now use AI to explore and compare travel options, but the moment of truth still sits at checkout, where payment certainty and identity assurance decide whether revenue is captured or lost. That means the security model has moved from discovery risk to purchase friction. Practitioners should treat this as a governance handoff between AI-enabled shopping and identity-controlled conversion.
A question worth separating out:
Q: When should travel merchants prioritise stronger fraud controls over checkout simplicity?
A: Stronger controls belong on transactions with high payout, weak identity confidence, or signs of fake ticket abuse. For lower-risk sessions, simpler flows are usually better because they preserve conversion and reduce avoidable friction. The decision should be based on risk scoring and context, not on a single universal policy for every booking.
👉 Read our full editorial: AI travel planning is outrunning trust at checkout
This post was modified 6 hours ago by NHI Mgmt Group