doc_id: “FLYMAX-05-Strategy-FLIGHT-BOOKING-COMMERCIAL-BREAKDOWN” project_name: “FlyMax V2.0” title: “Flight Booking Platform — Commercial Breakdown & Detailed Proposal Notes” doc_type: “Strategy” category: “Strategic Planning” version: “1.0.0” status: “active” scope: “valid” lifecycle_state: “active” created: “2026-03-09” updated: “2026-03-09” author: name: “George Joseph” role: “Technical Lead / Solution Architect” modified_by:
- name: “George Joseph” role: “Technical Lead / Solution Architect” date: “2026-03-09” approved_by:
- name: “” role: “” date: “” next_review_date: “2026-03-09”
Flight Booking Platform — Commercial Breakdown & Detailed Proposal Notes
Prepared for: Client
Prepared by: Geo
Date: March 9, 2026
Document Type: Markdown Proposal / Breakdown Note
1. Executive Summary
This document consolidates the proposed commercial estimate, delivery timeline, implementation approach, and product context for the Flight Booking Meta-Search Platform project.
The proposal is based on the current agreed scope and is designed to support a lean, practical, and phased delivery model. The product direction aligns with a flight meta-search platform similar in concept to Skyscanner / Wego, where users can search, compare, and proceed to booking through airline / OTA channels.
In addition to the commercial estimate, this document also captures relevant product and solution context from the attached supporting materials, including:
- Flight Booking Platform SOW
- Verteil airline/NDC commercial benefits appendix
- Verteil corporate presentation for travel sellers
2. Commercial Intent and Delivery Approach
The estimate has been prepared with the following delivery philosophy:
- Keep the first release lean and execution-focused
- Start release activities early instead of waiting until full completion
- Allow phased stabilization through pilot and support windows
- Maintain room for minor refinements via contingency
- Keep infrastructure practical and budget-controlled
This approach is suitable for an MVP-to-production path where core business value is delivered first, followed by controlled hardening and optimization.
3. Project Timeline
| Phase | Duration | Remarks |
|---|---|---|
| Development | 4–5 Months | Release activities begin after the 1st month |
| Final Release | 5th Month | Final production release planned in Month 5 |
| Pilot Run | 1 Month | Post-release monitoring and stabilization |
| Support Period | 3 Months | Bug fixes only |
| Contingency | 10%–15% | Recommended buffer for minor changes and release stabilization |
Timeline Interpretation
Development (4–5 Months)
This is the main execution window covering implementation, integration, testing, and phased releases. Early release activity after Month 1 reduces end-loaded risk and helps validate assumptions sooner.
Final Release (Month 5)
The target production release is planned in Month 5, assuming the scope remains within the agreed baseline and external dependencies are available on time.
Pilot Run (1 Month)
The pilot period is intended for:
- production observation
- issue tracking
- behavioral analytics review
- stabilization of high-priority issues
- validation of core user flows and integrations
Support Period (3 Months)
This period is strictly for bug fixes only and does not include new features, redesign, re-architecture, or major change requests.
Contingency (10%–15%)
A contingency range is recommended to absorb:
- minor scope drift
- release hardening work
- integration edge cases
- environment-specific fixes
- small operational refinements
4. Resource Cost Estimate
Note: The amounts below are total project resource costs, not monthly costs.
| Resource | Cost (INR) |
|---|---|
| Backend | 180,000 |
| Frontend | 120,000 |
| QA | 45,000 |
| DevOps | 35,000 |
| Total Resource Cost | 380,000 |
Resource Cost Interpretation
Backend — INR 180,000
Covers implementation of:
- APIs and business logic
- integrations
- authentication / authorization
- search and aggregation workflows
- user/account flows
- admin-side service logic
- notification / alert processing
- system validations and core platform rules
Frontend — INR 120,000
Covers implementation of:
- web UI screens
- search experience
- results and filter flows
- booking redirection flows
- account/profile views
- dashboard/admin interface screens
- responsive behavior
- interaction polish for production use
QA — INR 45,000
Covers:
- test planning
- functional validation
- regression checks
- UAT support
- bug reproduction and verification
- release validation
DevOps — INR 35,000
Covers:
- environment setup
- deployment configuration
- release setup
- monitoring/logging setup
- CI/CD support
- cloud/server readiness
- backup and operational baseline
5. Infrastructure / Server Cost
Estimated at INR 8,000–10,000 per month.
Included Components
| Component | Purpose |
|---|---|
| AWS EC2 | Application hosting / compute |
| S3 | Storage for assets, exports, backups, or static data |
| Cloudflare (Free Version) | DNS, caching, basic edge/security layer |
| EBS | Attached server storage |
| Public IP | Public access to server infrastructure |
| Snapshot Backup | Recovery point / backup support |
| CloudWatch Logs | Basic operational logging and monitoring |
Infra Cost Notes
This estimate is intentionally kept lean and suitable for:
- MVP or early production rollout
- moderate traffic during pilot and early growth
- controlled operating expenditure
This estimate may increase if the platform later requires:
- high traffic scaling
- managed databases
- dedicated search clusters
- Redis / queue infrastructure
- CDN upgrades
- advanced monitoring/APM
- WAF / security hardening
- staging and production environment separation at higher maturity
6. Overall Cost Summary
| Item | Amount (INR) |
|---|---|
| Total Resource Cost | 380,000 |
| Server Cost for 5 Months | 40,000–50,000 |
| Estimated Total (Before Contingency) | 420,000–430,000 |
Estimate Logic
- Base resource effort: INR 380,000
- Infra for the primary development/release window: INR 40,000–50,000
- Total baseline before contingency: INR 420,000–430,000
7. Contingency Estimate
| Contingency | Amount (INR) | Total Project Estimate (INR) |
|---|---|---|
| 10% | 42,000–43,000 | 462,000–473,000 |
| 15% | 63,000–64,500 | 483,000–494,500 |
Recommendation
A 10% contingency is reasonable if:
- scope is stable
- approvals are timely
- third-party dependencies are controlled
- feature interpretation is already aligned
A 15% contingency is safer if:
- scope may evolve during development
- partner/API dependencies are uncertain
- release stabilization risk is higher
- operational surprises are likely during rollout
8. Key Commercial Notes
- The estimate is based on the current scope and assumptions discussed.
- The 3-month support window covers bug fixes only.
- New features, major revisions, or additional integrations are outside this estimate unless explicitly revised.
- If infrastructure remains active during the support period, monthly server cost continues.
- Significant scope changes may require a revised commercial proposal.
9. Proposed Product Model Summary
Based on the SOW, the proposed product is a Flight Booking Meta-Search Platform that aggregates fares from multiple airlines and OTAs and enables search, comparison, and booking redirection.
Primary Product Objectives
- Build a scalable flight meta-search platform
- Aggregate fares from airlines and OTAs
- Provide intuitive search and comparison workflows
- Support redirect-based booking completion
- Enable monetization through affiliate / partner models
- Support SEO-led traffic acquisition
10. Core Product Scope Breakdown
10.1 Flight Search Engine
Planned capabilities include:
- one-way search
- round-trip search
- multi-city search
- passenger mix support (adult / child / infant)
- cabin selection
- airport and city autocomplete
- nearby airport support
- flexible dates support
- real-time aggregation from airlines and OTAs
10.2 Search Results & Comparison
Expected user-facing capabilities:
- side-by-side price comparison
- filter by stops, price, airline, time, duration, layover
- sort by price, duration, departure, arrival, or best value
- fare breakdown transparency
- baggage details visibility
10.3 Booking Flow
The SOW describes a redirect model, which means users are redirected to the airline or OTA partner for final booking completion.
Key capabilities:
- deep linking / redirect to partner
- price verification before redirect
- attribution / affiliate tracking
- booking confirmation notifications
10.4 Price Alerts & Notifications
Potential product modules include:
- price-drop alerts
- saved route tracking
- deal notifications
- personalized updates based on search behavior
10.5 User Management
Planned user features include:
- email / social sign-up
- user profiles
- saved searches
- search history
- saved trips / wishlist
- upcoming trip dashboard
11. Admin Platform Scope
The SOW also includes an admin panel with modules such as:
| Module | Functional Intent |
|---|---|
| Dashboard | KPIs, revenue, search/conversion visibility |
| Partner Management | Airline/OTA partners, rates, configs |
| Content Management | SEO pages, static content, blogs, FAQs |
| User Management | Accounts, support, disputes |
| Pricing Rules | Markup / markdown / promo handling |
| Reports | Revenue, partner performance, funnels |
| Settings | Platform/email/notification configuration |
12. SEO & Growth Scope
The SOW highlights strong SEO intent. Planned growth features include:
- dynamic route pages
- city pages and destination content
- sitemap generation
- schema markup
- content/blog hub
- dynamic meta tags for social previews
This is important because meta-search and flight-intent traffic often depend heavily on search visibility and landing-page strategy.
13. Technical Integration Scope
The SOW identifies the following broad integration categories:
| Integration Type | Examples / Purpose |
|---|---|
| GDS / NDC APIs | Amadeus, Sabre, Travelport for flight content |
| OTA APIs | OTA content sources where commercially available |
| Airline Direct APIs | Direct airline integrations |
| Payment Gateway | Only if direct booking model is later introduced |
| Email Service | Transactional notifications |
| Push Notifications | User alerts and updates |
| Analytics | Usage and funnel tracking |
| CDN | Edge delivery and caching |
| Search Layer | Fast autocomplete / search indexing |
14. Recommended Technical Architecture
14.1 Suggested Stack (from SOW)
| Layer | Suggested Technology |
|---|---|
| Frontend | Next.js 14+ with TypeScript |
| Styling | Tailwind CSS |
| Backend | Node.js with NestJS / Express or Python FastAPI |
| Database | PostgreSQL |
| Cache | Redis |
| Search | Elasticsearch |
| Queue | RabbitMQ / Bull |
| Hosting | AWS / GCP |
| CI/CD | GitHub Actions |
| Monitoring | Sentry / Datadog / CloudWatch |
14.2 Practical Interpretation
For a lean implementation, the recommended stack can be phased:
MVP / Lean Version
- Next.js frontend
- Node.js backend
- PostgreSQL or MongoDB depending on design choice
- Redis only if caching is needed early
- Cloud-based deployment with basic logs and backups
Scale-Ready Version
- dedicated search service
- async aggregation workers
- queue-based integration processing
- advanced observability
- rate limiting / partner-specific adapters
- environment separation and scaling policy
15. Proposed Delivery Phases from SOW
| Phase | Scope Summary |
|---|---|
| Phase 1 | Setup, CI/CD, schema, auth, basic UI/UX, admin foundation |
| Phase 2 | Flight search UI, first integrations, results/filtering, autocomplete, aggregation engine |
| Phase 3 | Booking redirect, profiles, history, saved searches, alerts, notifications, reports |
| Phase 4 | SEO pages, schema, sitemap, performance, analytics, content management |
| Phase 5 | UAT, fixes, security audit, load testing, deployment, docs, KT, go-live support |
16. Team Model from SOW
| Role | Count | Main Responsibility |
|---|---|---|
| Project Manager | 1 | Planning, coordination, communication |
| UI/UX Designer | 1 | Design system, wireframes, prototypes |
| Frontend Developer | 2 | Next.js / responsive web UI |
| Backend Developer | 2 | APIs, integrations, aggregation engine |
| DevOps Engineer | 1 (part-time) | Infra, CI/CD, monitoring |
| QA Engineer | 1 | Testing, automation, UAT |
Note on Current Commercial Estimate vs SOW Team Size
The SOW team model reflects a broader idealized structure. The current commercial estimate appears to be a more lean execution-oriented costing model, likely assuming controlled scope, lean staffing, or blended resource allocation.
17. Assumptions and Dependencies
Assumptions
- client feedback is timely
- external credentials are made available on time
- content and business input are available when needed
- third-party API costs are outside this estimate
- hosting cost is separate from resource cost
Dependencies
- GDS/NDC access and partnership approvals
- OTA partner access where applicable
- domain / SSL readiness
- email provider account availability
- analytics account readiness
These dependencies can materially affect both timeline and delivery confidence.
18. Exclusions
Unless separately agreed, the SOW excludes:
- native iOS / Android apps
- direct booking/payment flow in the initial meta-search model
- multilingual scope beyond English
- hotel / car / non-flight products
- GDS/OTA partnership fees and subscriptions
- ongoing infra/hosting beyond explicitly budgeted periods
- post-launch new feature development
19. Support & Maintenance Position
Included
- 3 months of bug-fix support after go-live
Not Included by Default
- major functional enhancements
- product redesign
- optimization beyond bug resolution
- new integrations
- scale re-architecture
An AMC / extended support model can be added later if required.
20. Key Risks
| Risk | Mitigation Direction |
|---|---|
| GDS/API delays | Start partner discussions early; keep fallback paths |
| Scope creep | Formal change-request control |
| Third-party API changes | Modular provider abstraction |
| Load/performance issues | Testing, caching, scale planning |
| Privacy/compliance obligations | Compliance-aware design |
21. Acceptance Criteria Snapshot
The SOW indicates acceptance expectations such as:
- scoped features are functional and tested
- page load target under 3 seconds
- API response target under 500 ms
- cross-browser compatibility
- responsive design coverage
- security review completion
- documentation handover
These are good baseline quality gates for delivery closure.
22. Product Model Context from Verteil Materials
The attached Verteil materials add useful commercial context for an NDC-enabled travel seller ecosystem.
22.1 Verteil Market Positioning
The corporate presentation highlights:
- 9 years of NDC leadership
- 18,000+ agencies
- 60+ airlines
- 225+ skilled resources
- presence across multiple geographies including UAE
22.2 Product / Solution Relevance
The Verteil deck describes a travel seller solution with:
- unified airline access
- NDC aggregator model
- API and web application access
- payment and reporting support
- ancillary handling
- post-ticket servicing
- markup / rule engine
- smart caching
- back-office integrations
22.3 Why This Matters to the Proposed Platform
For a flight search or travel distribution product, this material is useful because it demonstrates:
- airline connectivity maturity in the NDC ecosystem
- practical business value of richer airline content
- ancillaries and bundling opportunities
- cost/content differentiation versus legacy distribution paths
23. NDC Commercial Benefit Notes from Attached Appendix
The airline commercial benefits appendix suggests that, depending on airline and point of sale, NDC channels may provide:
- lower fares compared to EDIFACT / legacy GDS routes
- exclusive fare classes
- continuous pricing
- ancillary discounts
- bundled fare availability
- extra baggage or reduced fees in some cases
- route / market-specific incentives
Important Caution
The appendix itself explicitly states that this is based on secondary search / Verteil’s understanding and that the commercial or content benefits should be confirmed directly with the airline because airline offers and promotions are dynamic.
This means the material is useful as a strategic reference, but not as a final contractual source of truth.
24. Suggested Commercial Framing for Client Discussion
When sharing this proposal with the client, the positioning can be:
- Lean but scalable initial build
- Phased release to reduce delivery risk
- Clear separation between build cost and infra cost
- Transparent bug-fix-only support period
- Explicit contingency recommendation for safe execution
- Future extensibility into richer airline/NDC capabilities if the business model evolves
25. Recommended Next Steps
- Confirm current scope baseline
- Freeze MVP / Phase-1 deliverables
- Confirm whether the model is strictly meta-search redirect or includes any direct booking elements later
- Validate partner/API readiness
- Confirm infrastructure ownership and billing responsibility
- Decide whether contingency will be locked at 10% or 15%
- Convert this into one of the following if needed:
- formal proposal
- quotation
- SOW-aligned commercial document
- client-facing PDF
26. Closing Note
This document is intended to give a structured, client-shareable view of both the commercial breakdown and the product delivery context. It can serve as a bridge between:
- email summary
- quotation
- commercial proposal
- scope alignment discussion
- final formal SOW / agreement package
Governance Footer
- Document ID: FLYMAX-05-Strategy-FLIGHT-BOOKING-COMMERCIAL-BREAKDOWN
- Canonical Version: 1.0.0
- Lifecycle: Active
- Scope: Valid
- Source of Truth: docs/
- Related Change Ticket:
- Last Reviewed On: 2026-03-09
- Next Review Due: 2026-03-09
Approval Sign-off
| Role | Name | Date | Status |
|---|---|---|---|
| Product Owner | Pending | ||
| Technical Lead / Solution Architect | George Joseph | Pending | |
| Engineering Lead | Pending | ||
| Commercial / Operations | Pending |
Document Lineage
- Supersedes:
- Superseded By:
Change Log
- 1.0.0 (2026-03-09) - Header/footer standardized to FlyMax documentation playbook.