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비즈니스 문제
Travel commerce depends on systems that talk to many others at once. A single itinerary may involve airline content through GDS and NDC channels, hotel inventory from a property management system or channel manager, ground transportation, activities and payment providers in several currencies. Each source has its own data model, latency and failure behavior. Companies built on older booking engines find that adding a supplier, changing a fare display or launching a package takes far longer than the commercial opportunity allows.
Travelers and guests, meanwhile, judge the experience end to end. They expect accurate availability, transparent pricing, flexible changes and help when plans go wrong, whether through a website, an app, a messaging channel or a front desk. Operators are looking to AI for search, personalization and service, but those capabilities are only as reliable as the inventory and booking data beneath them. The engineering task is to modernize distribution and data foundations while keeping booking flows dependable every day.
운영상의 과제
iQsolutions의 해결 방식
- 01
Fragmented supplier connectivity
GDS, NDC under the IATA standard, bed banks, channel managers and direct supplier APIs all coexist. Each integration carries its own certification, caching and error-handling needs, and inconsistent content makes comparison and merchandising difficult.
iQsolutions의 해결 방식
Supplier abstraction layer
We build a normalized content and booking layer over GDS, NDC, hotel and ancillary APIs, with adapter patterns that isolate supplier specifics and make it practical to add, test and retire connections.
- 02
Shopping-to-booking accuracy
Cached availability and prices drift from live inventory, producing failed bookings and price changes at checkout. Balancing look-to-book costs against accuracy is a persistent technical and commercial tension for every travel seller.
iQsolutions의 해결 방식
Freshness-aware search
Search architectures combine tiered caching, freshness rules and selective live verification tuned to each supplier's economics and rate limits, so travelers see accurate options and the business avoids uncontrolled look-to-book costs or supplier penalties.
- 03
Servicing and disruption
Cancellations, schedule changes and weather disruptions create sudden spikes in contact volume. Without automated rebooking options and unified traveler records, service teams handle each case manually and under time pressure.
iQsolutions의 해결 방식
Servicing as a core flow
Post-booking journeys, including changes, refunds, ancillaries and disruption handling, are engineered as primary flows with explicit state models and automation hooks, rather than left as manual exceptions handled by service agents outside the platform.
- 04
Guest data and personalization
Profiles are split across booking engines, PMS, loyalty and CRM systems. Personalization stalls when identity, consent and preferences cannot be resolved into a single view that respects GDPR and comparable privacy regimes.
iQsolutions의 해결 방식
Unified traveler and guest data
Identity resolution, consent management and preference capture are designed across channels, with PCI DSS-aware payment tokenization so stored profiles never expose card data to applications that do not need it.
참조 아키텍처
- Booking web and app
- Agent desktop
- Messaging assistants
- Guest portals
- Trip planning assistant
- Disruption agents
- Demand forecasting
- Content enrichment
- GDS connectors
- NDC (IATA) APIs
- Channel managers
- Payment gateways
- Unified traveler profile
- Booking ledger
- Content catalog
- Consent records
- PMS and CRS
- Search caches
- Cloud services
- Observability
지능형 자동화 기회
Conversational trip planning
Assistants grounded in live inventory and policy content help travelers explore options, compare packages and complete bookings, handing off to human agents with full context for complex or high-value itineraries.
Disruption rebooking
When schedules change, agents evaluate affected bookings, propose alternatives that respect fare rules, connection times and traveler preferences, and queue notifications or approvals for service teams before the traveler has to ask.
Content normalization
AI-assisted pipelines classify, deduplicate and enrich hotel, room and activity content from multiple suppliers, mapping inconsistent room descriptions and amenities to a common taxonomy, which improves search relevance and reduces manual mapping work for content teams.
Demand and pricing signals
Forecasting models combine booking pace, search demand, competitor rates and event calendars to inform pricing and inventory decisions, with each recommendation and its main drivers presented for revenue managers to accept or adjust.
제품 및 플랫폼 기회
Intelligent travel retailing
Platforms that unify air, accommodation and experiences behind a single search, booking and servicing model. Offers and orders are managed consistently, ready for AI-assisted planning and for distribution through direct, partner and corporate channels.
Hotel group guest platforms
Direct booking, mobile check-in, digital key and in-stay service experiences integrated with PMS, CRS and loyalty systems, giving properties consistent guest journeys across brands and locations while staff retain a single view of each stay.
Tour and activity operator systems
Inventory, scheduling, capacity and booking tools for tour, attraction and activity operators, with distribution APIs that make their products available in real time to online travel agencies and resellers without double-booking or manual allocation.