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Travel & Transportation

Convert more bookings. Optimize every route and seat.

We build intelligent booking platforms, dynamic packaging engines, fleet optimization systems, and disruption management tools for travel and transportation companies. The software that turns abandoned searches into confirmed bookings and static schedules into responsive operations.

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40%

Higher booking conversion

80%

Faster disruption recovery

Overview

80-90% booking abandonment isn't a traffic problem - it's a relevance problem

Travel software development at 1Raft focuses on the three areas that most directly impact revenue: booking conversion, operational efficiency, and traveler retention. We bring patterns from 100+ products across adjacent industries to build intelligent search and booking, dynamic packaging, fleet and route optimization, and personalization engines - each engineered to drive measurable revenue growth and operational savings.

Travel companies sit on enormous demand but lose most of it to friction. Booking abandonment runs 80-90% because search results don't match intent, pricing feels opaque, and checkout flows break across devices. Fleet operators run static schedules that can't adapt to real-time demand shifts, weather, or disruptions. The result: empty seats, missed revenue, and frustrated travelers.

Our booking platforms use AI to understand traveler intent and surface relevant results in fewer clicks. Dynamic packaging engines bundle flights, hotels, and activities with real-time pricing that maximizes margin. Fleet optimization systems re-route and re-schedule in minutes instead of hours when disruptions hit.

Every product integrates with existing GDS, OTA, PSS, and fleet management systems - Amadeus, Sabre, Travelport, and custom platforms. We connect to payment gateways, loyalty systems, and third-party inventory. No rip-and-replace required.

Experience Signal

1Raft builds intelligent booking platforms, dynamic packaging engines, fleet optimization systems, and disruption management tools for travel operators, OTAs, and transportation companies. Our engineering draws on patterns validated across 100+ products in adjacent industries.

40%

Higher booking conversion

80%

Faster disruption recovery

Industry Pain Points

What's broken in travel & transportation

01

Booking abandonment runs 80-90% because search results return hundreds of irrelevant options and checkout flows require too many steps across clunky mobile experiences

02

Dynamic packaging is manual - agents bundle components by hand using separate supplier portals, leaving margin on the table and slowing response times from minutes to hours

03

Fleet and route planning uses static schedules set weeks in advance that can't adapt to same-day demand surges, cancellations, weather, or traffic disruptions

04

Disruption management is reactive - when flights cancel or routes change, rebooking takes hours of manual work while travelers wait on hold or at gates

05

Personalization stops at 'Dear First Name' - most travel brands don't use booking history, preferences, or behavioral data to tailor offers, upgrades, or loyalty rewards

Solutions

Problems we solve in travel & transportation

Each solution is built from patterns we've validated across 100+ products. No experiments on your budget.

01

Intelligent Booking Platform

AI-powered search that understands traveler intent - flexible dates, budget constraints, preference patterns - and surfaces the most relevant options in fewer clicks. Faster checkout with saved profiles, one-tap payment, and abandoned booking recovery via email and push notification.

02

Dynamic Packaging Engine

Real-time bundling of flights, hotels, transfers, and activities with margin-optimized pricing. Pulls live inventory from multiple suppliers, calculates the best bundle, and presents it as a single price. Handles complex itineraries and multi-destination trips.

03

Fleet and Route Optimization

Optimizes vehicle, vessel, or aircraft deployment based on demand forecasts, maintenance schedules, crew availability, and operational constraints. Re-optimizes routes and schedules dynamically when conditions change - demand surges, weather, cancellations, or traffic.

04

Disruption Management and Rebooking

Detects disruptions - cancellations, delays, weather events - and automatically generates rebooking options ranked by traveler preference, cost, and operational feasibility. Proactively notifies affected travelers and executes approved changes without agent intervention.

05

Traveler Personalization and Loyalty

Builds rich traveler profiles from booking history, browsing behavior, stated preferences, and loyalty tier. Delivers personalized search results, targeted upgrade offers, and dynamic loyalty rewards. Predicts churn risk and triggers re-engagement before travelers defect to competitors.

Use Cases

Real-world use cases

Booking Conversion Optimization for an OTA

Problem

An online travel agency processing 2.4M monthly searches had a 2.1% search-to-booking conversion rate. Exit surveys revealed 62% of abandoners couldn't find relevant options quickly. Mobile conversion was 40% lower than desktop.

What we built

We rebuilt the search and booking flow with AI-powered intent matching that surfaced the 5 most relevant options first instead of paginated lists. Added flexible date suggestions, price alerts, and a simplified 3-step mobile checkout with saved traveler profiles and one-tap payment.

Result

Search-to-booking conversion rose from 2.1% to 3.4%. Mobile conversion gap closed from 40% to 12%. Average booking value increased 8% through intelligent upsell placement. Abandoned booking recovery emails captured an additional 6% of lost bookings.

Fleet Optimization for a Regional Transit Operator

Problem

A regional bus and shuttle operator running 180 vehicles across 42 routes used static schedules set quarterly. Peak routes ran at 115% capacity while off-peak routes averaged 38% utilization. Fuel costs consumed 31% of operating budget.

What we built

We built a fleet optimization system that forecasted demand by route, day, and time-of-day using historical ridership, event calendars, weather, and school schedules. The system dynamically adjusted vehicle deployment, suggested route modifications, and re-routed in real time during disruptions.

Result

Average fleet utilization improved from 62% to 81%. Peak overcrowding incidents dropped 74%. Fuel costs decreased 18% through right-sizing vehicle deployment. Passenger satisfaction scores rose 0.8 points as wait times and overcrowding improved.

Disruption Management for an Airline Services Company

Problem

An airline ground services provider handled rebooking for 3 partner carriers. When disruptions hit, agents manually searched for alternatives across carrier systems. Average rebooking time was 47 minutes per affected passenger. Major disruption events triggered 12-hour backlogs.

What we built

We built a disruption management platform that monitored flight status across all partner carriers, automatically generated ranked rebooking options based on traveler preferences and ticket rules, and enabled one-click rebooking. Added proactive SMS and app notifications to affected travelers with self-service rebooking links.

Result

Average rebooking time dropped from 47 minutes to 6 minutes. Self-service rebooking handled 58% of disruption cases without agent involvement. Customer satisfaction during irregular operations improved from 2.4/5 to 3.9/5. Agent capacity during major events increased 5x.

Our Approach

How we approach travel & transportation projects

1
Phase 1· Weeks 1-2

Travel Operations and Conversion Audit

We analyze your booking funnel, fleet utilization, disruption handling, and personalization capabilities. We quantify where you're losing bookings to search friction, revenue to static scheduling, and travelers to poor disruption recovery.

Deliverables

  • Booking funnel analysis with drop-off points and abandonment root causes
  • Fleet utilization audit with route-level demand vs. capacity analysis
  • Prioritized opportunity list ranked by revenue impact and implementation speed
2
Phase 2· Weeks 3-4

System Design and Integration Planning

We design the product with your commercial, operations, and IT teams. Every integration point - GDS, PSS, fleet management, payment, loyalty - is mapped before build begins.

Deliverables

  • Technical architecture with integration specifications for all systems
  • Data flow plan covering booking, inventory, and traveler profile data
  • Phased delivery roadmap with milestone definitions and success metrics
3
Phase 3· Weeks 5-10

Build and Controlled Pilot

We build in sprints and pilot with a subset of routes, markets, or booking channels first. Real traveler interactions and operational data validate the product before full rollout.

Deliverables

  • Working product deployed in pilot scope - select routes or booking channels
  • Performance metrics from real booking and operational data
  • Optimization backlog based on pilot learnings and traveler feedback
4
Phase 4· Weeks 11-14

Full Rollout and Continuous Optimization

We roll out across all routes, markets, and channels with region-specific and route-specific configuration. AI models improve continuously as more booking and operational data feeds into the system.

Deliverables

  • Full deployment across all routes, markets, and booking channels
  • Revenue and operations dashboard tracking conversion, utilization, and disruption metrics
  • Quarterly optimization plan tied to revenue targets and operational KPIs

Outcomes

Measurable outcomes

25-40% improvement in booking conversion through AI-powered search relevance and faster checkout
15-30% increase in fleet utilization through demand-driven scheduling and dynamic route optimization
60-80% reduction in disruption rebooking time through automated alternatives and self-service recovery
10-20% growth in ancillary revenue through personalized upsells, dynamic packaging, and targeted loyalty offers

Pattern Transfer

1Raft built dynamic pricing engines for hospitality clients optimizing room rates against real-time demand and competitor signals. That same pattern - perishable inventory, demand curves, automated price adjustment - is exactly what powers our travel revenue management tools. Hotel rooms and airline seats face the same economic reality: unsold inventory at departure time is revenue gone forever.

Services

Services for travel & transportation

Frequently asked questions

Projects range from $50K-$200K. An intelligent booking and search platform starts around $60K. Fleet optimization with real-time re-routing runs $80K-$150K. A full travel platform - booking, packaging, disruption management, and personalization - runs $150K-$200K. We provide a fixed estimate after a strategy session.

Next Step

Every point of booking abandonment you don't fix is revenue walking to your competitor's checkout.

One call with a founder. No sales team, no follow-up sequence. If we can't help, we'll say so.

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