Travel and hospitality scenarios
Travel and hospitality scenarios — booking, customer service, loyalty, dynamic pricing, accessibility. Industry patterns, not customer case studies.
Five canonical scenarios where airlines, hotels, OTAs, cruise, rental car, and tour operators use Stratix evaluation to gate AI features.
1. Booking and itinerary assistance
Setup: AI helps the traveler shop, build, and confirm an itinerary across air, lodging, ground transport, activities. Inputs: traveler preferences, real-time inventory, fare rules.
Why it's hard:
Fare rules, change/cancel policies, baggage rules differ by carrier and fare class
Real-time inventory race conditions cause "best price gone"
Cross-border requirements (visas, passport validity, vaccination) shift
DOT consumer-rule violations carry per-passenger penalties
Stakes:
DOT enforcement on misleading fare advertising; per-violation civil penalties up to ~$59K
Airline Passengers Bill of Rights state actions in CA, NY, others
IATA fare-rule enforcement on agency channels
Stratix evaluation criteria:
Fare-rule citation
Output cites applicable fare rules
Hard rule
Total-price disclosure
Required price elements present (DOT 14 CFR 399.84)
Hard rule
Change/cancel accuracy
Stated rules match the actual fare-rule database
Code assertion
Cross-border requirements
Visa / passport / health requirements current
Citation rule
Inventory freshness
Cited inventory within threshold
Hard rule
2. Customer service for disruption
Setup: AI assists during disruption — flight cancellation, hotel overbooking, lost bag, missed connection. Surfaces options, drafts compensation offers, escalates to human.
Why it's hard:
Disruption rules vary (Tarmac Delay Rule, EU 261, Canadian APPR, UK 261)
Compensation accuracy must match regulation, not just brand goodwill
Stranded-passenger care obligations are time-bound
Fraud-vector — bad actors trigger compensation flows
Stakes:
DOT enforcement on Tarmac Delay Rule; up to $32K per passenger
EU 261 fixed compensation amounts (€250-€600 typical); systematic underpayment triggers state actions
Class-action exposure on systemic disruption-handling failures
Stratix evaluation criteria:
Regulation-citation rule — Compensation offer cites the specific rule (DOT, EU 261, APPR)
Care-obligation rule — Hard rule: meals/lodging duties surfaced when applicable
Compensation accuracy — Code assertion: offer matches regulation minimum
Fraud-pattern rule — High-risk patterns route to human review
Plain-language judge — Communication is clear and actionable
3. Loyalty and personalization
Setup: AI personalizes content and offers based on loyalty status, history, preferences. Surfaces award redemption options, drafts upgrade offers.
Why it's hard:
Award-availability rules are notoriously complex and change without notice
Personalized pricing in regulated geographies (EU)
Senior / accessibility-related preference handling
Loyalty-program TOS enforcement vs. customer-friendly tone
Stakes:
FTC and state UDAP scrutiny on loyalty terms
DOT enforcement on miles-based fare advertising
EU consumer-protection actions on personalized pricing
Stratix evaluation criteria:
Award-availability accuracy — Code assertion against live availability
TOS-citation rule — Outputs reference the program TOS
Personalized-pricing fairness — Group fairness on offered prices
Accessibility-preference handling — Hard rule: stored accommodations surface in suggestions
4. Revenue management and dynamic pricing
Setup: AI suggests pricing for inventory units (rooms, seats, cars). Revenue manager approves; AI does not unilaterally publish.
Why it's hard:
DOT full-fare advertising rule
EU price-discrimination scrutiny
Hotel resort-fee transparency post-FTC 2024 rule
Surge-pricing perception risk during emergencies
Stakes:
FTC junk-fees rule (2024) targets undisclosed mandatory fees
DOT 14 CFR 399.84 on full-fare advertising
State AG actions on emergency surge pricing (state laws cap pricing during declared emergencies)
Stratix evaluation criteria:
Full-price-disclosure rule — Hard rule: all mandatory fees disclosed
Junk-fee guardrail — FTC 2024 rule compliance — every output flags mandatory fees up front
Emergency-surge guardrail — Hard rule: in declared emergencies, suggestions cap at applicable state limit
Personalization fairness — Group fairness on offered prices
5. Accessibility and accommodations
Setup: Travel AI surfaces accessibility info — accessible rooms, wheelchair service, dietary accommodations, service-animal handling.
Why it's hard:
ACAA (Air Carrier Access Act) for airlines + DOT enforcement
ADA Title III for hotels + state analogs
Inaccurate accessibility claims trigger litigation
Service-animal protocols vary internationally
Stakes:
DOT ACAA enforcement actions and consent decrees
ADA Title III lawsuits — hotels are a common target
International conventions (Montreal Convention) for service-animal incidents
Stratix evaluation criteria:
Accessibility-claim citation rule — Every accessibility claim cites the source
Verified-availability rule — Stated accessible inventory verified live
ACAA / ADA disclosure — Required language present
Service-animal protocol — Per-jurisdiction handling rule
Plain-language judge — Customer can act on the information
See also
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