Multi-Modal Trip Search & Comparison

AI-powered search across flights, hotels, and car rentals with intelligent bundling and real-time price comparison delivering 15-25% cost savings through optimal combinations.

Business Outcome
time reduction in booking process (from 15-30 minutes to 7-15 minutes)
Complexity:
Medium
Time to Value:
3-6 months

Why This Matters

What It Is

AI-powered search across flights, hotels, and car rentals with intelligent bundling and real-time price comparison delivering 15-25% cost savings through optimal combinations.

Current State vs Future State Comparison

Current State

(Traditional)

1. Customer searches flight on airline website, then separately searches hotels on booking site, then car rentals on third site. 2. Customer manually compares prices across 5-10 tabs in browser. 3. Customer calculates total trip cost in spreadsheet or notepad. 4. Customer books each component separately with different confirmations. 5. No bundling discounts or package optimization realized.

Characteristics

  • Global Distribution Systems (GDS)
  • Multimodal Travel Booking Platforms (e.g., Trawex)
  • AI and Machine Learning Tools
  • ERP and CRM Systems
  • Payment Gateways

Pain Points

  • Fragmented data sources leading to inaccurate real-time information.
  • Complex itinerary management resulting in customer confusion.
  • Limited cross-modal integration for seamless booking.
  • User experience challenges due to diverse transport modes and pricing structures.
  • Manual processes increase time and labor costs.
  • Lack of personalization in recommendations based on traveler behavior.
  • Scalability issues when integrating new transport providers.
  • Dependence on traditional tools like email and Excel in some contexts.

Future State

(Agentic)

1. Trip Search Agent receives customer input: destination, dates, preferences (direct flights, hotel rating, car size). 2. Multi-Modal Agent simultaneously searches flights (via NDC/GDS), hotels (via APIs), and car rentals across 50+ providers. 3. Bundling Optimization Agent identifies best combinations with connection times, hotel-airport proximity, cost savings. 4. Agent presents top 3-5 optimized packages with clear comparison (total cost, travel time, ratings). 5. Customer selects package and books all components in single transaction.

Characteristics

  • Flight Inventory Management via NDC and GDS (Amadeus, Sabre)
  • Hotel availability APIs (Expedia, Booking.com)
  • Car rental Inventory Management feeds
  • Real-time pricing and availability data
  • Customer preference profile and history
  • Geographic proximity data (airport-hotel distance)
  • Connection time and layover requirements
  • Package discount and bundling rules

Benefits

  • 15-25% cost savings through intelligent bundling vs separate bookings
  • 90% time reduction (10-15 min vs 90-120 min)
  • Optimized itineraries with minimal connection times
  • Hotel proximity to airport/destination optimized
  • Single transaction vs 3+ separate bookings
  • Real-time price guarantees prevent cart abandonment

Is This Right for You?

50% match

This score is based on general applicability (industry fit, implementation complexity, and ROI potential). Use the Preferences button above to set your industry, role, and company profile for personalized matching.

Why this score:

  • Applicable across multiple industries
  • Moderate expected business value
  • Time to value: 3-6 months
  • (Score based on general applicability - set preferences for personalized matching)

You might benefit from Multi-Modal Trip Search & Comparison if:

  • You're experiencing: Fragmented data sources leading to inaccurate real-time information.
  • You're experiencing: Complex itinerary management resulting in customer confusion.
  • You're experiencing: Limited cross-modal integration for seamless booking.

This may not be right for you if:

  • Requires human oversight for critical decision points - not fully autonomous

Related Functions

Metadata

Function ID
function-multi-modal-trip-search-comparison