Build polished, brand-aligned travel quotes and day-wise itineraries in minutes - with live supplier pricing, AI suggestions, branded PDFs and one-click booking baked in. Replace Excel sheets, static PDFs and back-and-forth emails with an interactive quote that customers approve and pay in one click. Pair with Trip Composer for the most complex multi-city trips.
Quotation & Itinerary Builder sits at the intersection of supplier connectivity, distribution and the operational tools your team actually uses every day. Build polished, brand-aligned travel quotes and day-wise itineraries in minutes - with live supplier pricing, AI suggestions, branded PDFs and one-click booking baked in. Replace Excel sheets, static PDFs and back-and-forth emails with an interactive quote that customers approve and pay in one click. Pair with Trip Composer for the most complex multi-city trips.
adivaha® powers more than 2,400 travel brands across 120+ countries, with engineering teams in India and Europe and 200+ pre-integrated supplier connections. We are an Amadeus Global CAP Licence holder and ISO 9001:2015 certified. The platform you read about on this page sits inside the same connected core that powers booking engines, agent portals, mobile apps, gift cards, loyalty programs and AI automations across every product line we ship.
This page is part of adivaha®’s broader travel-tech catalogue covering flights, hotels, holiday packages, transfers, activities, gift cards, loyalty, corporate travel, mobile apps and AI automations. Customers typically start with one product and layer on the rest as they grow — everything sits on the same supplier pool, the same payment rails, the same customer wallet and the same audit log so adding a new module never means a re-platform.
The platform is built for the operational reality of travel — cancellations, refunds, credit shells, supplier reconfirmations, multi-currency settlement, GST on commission vs principal sales, ADM/ACM handling — all of it modelled as first-class concepts. Generic accounting tools and SaaS platforms weren’t built for these flows. We were. Customers tell us this is the single biggest reason their finance and operations teams stop fighting the platform and start using it.
Most adivaha® customers go from contract to first production booking in 2–3 weeks. The path is short because the hard parts are already done: supplier credentials are pre-provisioned, the booking flow is tested end-to-end, payment gateways are integrated, and the white-label theming sits behind a config flag. Your team focuses on the parts that are actually unique to your business — brand, audience, market positioning, supplier contracts — instead of rebuilding a booking engine from scratch.
Beyond the speed-to-launch advantage, customers stay on adivaha® because the platform compounds. Every supplier we add, every payment rail we wire in, every AI capability we ship lands automatically for everyone on the platform — not as a paid upgrade, not behind an enterprise tier. The roadmap moves the entire customer base forward together. That’s how a small agency in 2023 ends up with the same supplier coverage as a multi-country OTA in 2026 without ever touching the integration code themselves.
The architecture, the integration approach and the operational model behind every production deployment.
A 200+ supplier pool sits behind a single, normalised contract. Search results stream back from parallel calls so users see partial results immediately rather than waiting for the slowest provider. When a supplier ships a breaking change — an NDC update, a rate-plan reorganisation, a deprecated endpoint — we absorb it in our adapter layer so your code never has to.
Your domain, logo, colours and store-listing copy are wired in by our delivery team. The white-label storefront ships in 2–3 weeks for most customers. Custom UI work or unusual payment requirements may extend the timeline, but we’ll be upfront about exactly what changes the schedule.
Run a customer-facing site and a B2B agent portal from one platform with role-based access, separate fare displays for retail and trade, KYC for sub-agents, commission tiers and credit-shell management. Markups apply per supplier, per product, per agent, per market — with stacking rules and override priority.
Cards, UPI, wallets, BNPL and FX flow through the same checkout. adivaha Pay reconciles transactions automatically against bookings; one escrow covers every supplier so the customer payment, your markup and the supplier cost are tracked in a single ledger. UPI integration ships out of the box for Indian markets.
Conversational booking assistants, support auto-resolution, invoice generation and anomaly alerts run on top of adivaha AI. Every AI action that touches money, contracts or customers waits for human sign-off, and every action is logged with full audit trail. PII is redacted at the edge before reaching any LLM.
Native mobile apps on iOS and Android share the same backend. Public REST APIs expose everything the storefront uses, with OpenAPI 3.1 specs, Postman collections, SDKs in five languages and HMAC-signed webhooks for booking and refund events.
The features that look small on a demo but compound into real margin advantage when you’re running production traffic month after month.
API contracts stay supported for at least 12 months after the next major version ships. Suppliers churn, regulations change, but your code keeps working.
Why it matters: Without this you’d be paying engineering or operations cost every month to do the same work manually — a hidden tax that grows with your booking volume. The platform absorbs that cost so your team doesn’t have to.
Logs, traces, latency, error rates and rate-limit usage available per API key, per environment. No more guessing why a request failed yesterday.
Why it matters: This is the kind of feature most platforms charge as an enterprise add-on. It ships standard with adivaha® because it’s how a real travel business actually operates.
Sandbox keys issued within 24 hours with realistic test data. Same code as production so what you build there works in production unchanged.
Why it matters: Customers who lean on this consistently outperform peers on conversion, supplier mix and reconciliation accuracy. The compounding shows up in margin within a quarter or two.
When one supplier goes down, results from the rest still show. No blank pages for your sellers, no lost conversions during a Sabre outage.
Why it matters: It’s built around an open contract, so you can extend it without waiting for a vendor release cycle. When your business shifts, the platform shifts with you.
No hidden fees, no surprise overage charges, no per-API-call billing that turns a quiet month into a budget conversation. Pricing is published.
Why it matters: The audit trail and rollback story make it safe to use even on money-affecting flows. Compliance teams love it; finance teams stop double-checking exports.
Every AI action that touches money, contracts or customers waits for human sign-off. Full audit trail of who approved what, when and why.
Why it matters: It scales linearly with traffic — no surprise re-architecture when you 10x volume. The same API call that works at 100 RPS works at 1000 RPS.
The most common goals customers hit in the first 90 days after going live - one platform, six measurable outcomes.
Most customers process their first revenue-bearing booking within 2–3 weeks of contract signing. Pre-integrated suppliers and a 24-hour sandbox provisioning policy compress the timeline.
Sub-second median latency on multi-supplier search results means fewer abandoned carts. Smart caching keeps repeated queries fast, idempotent confirmations prevent duplicate-charge errors.
Auto-vouchering, supplier reconfirmations, refund handling and reconciliation against payment gateway statements run automatically. Operations cost stops scaling linearly with booking volume.
When inventory from one supplier underperforms, the platform routes more searches to the others. Smart routing surfaces in your margin within the first quarter.
Multi-currency, multi-language and multi-tax-regime support means a new market launch is a config change, not a re-platform. Many customers expand to 3+ countries within their first year.
AI-assisted support automation handles tier-1 tickets and routes the rest with full booking context to your team. Average resolution time drops; agent-per-ticket cost drops with it.
A clear hand-off model so your team knows exactly what happens at every phase — no surprise dependencies, no vendor-side mystery work.
We map your existing flows, supplier preferences, payment requirements and target markets. The output is a scoped delivery plan with explicit timelines, deliverables and ownership boundaries between your team and ours.
Sandbox keys, API documentation access, supplier credential requests and payment gateway onboarding all kick off in parallel. Your engineering team can start building integrations immediately.
Branding, UI customisation, currency setup, tax rules, markup rules, agent tiers and policy enforcement get wired in. Most of the customer-visible work lands here.
End-to-end testing on real supplier sandboxes, payment flow validation, edge-case handling and a controlled soft launch. We catch the issues that only show up under real traffic.
Full launch, dedicated success-manager access for 30 days, then standard support. New APIs, AI capabilities and supplier integrations land automatically as we ship them — no migration projects.
Building it yourself looks cheaper on Day 1 and starts looking expensive by Quarter 3. Here’s why almost every team eventually moves to a platform.
The seductive part of building your own travel platform is that the initial scope feels containable. You need flight search, hotel search, a checkout flow and a booking confirmation page. Estimate three engineers for six months and you have an MVP. The trap is that the MVP isn’t the expensive part. The expensive part is the next eighteen months of maintaining supplier connections, handling regulatory changes, supporting refunds and cancellations across edge cases, and answering customer questions about why their voucher hasn’t arrived.
Travel-tech operations cost scales linearly with booking volume on a homegrown stack. Every new supplier is an integration project. Every regulatory change in a new market is a code release. Every booking edge case eventually becomes a finance reconciliation ticket. Your engineering team becomes a maintenance team. Your roadmap stops being about competitive features and starts being about keeping the lights on. Six quarters in, the calculation that made build-it-yourself look attractive has completely flipped.
A purpose-built platform changes the calculation by socialising those operational costs across hundreds of customers. The supplier integration we did last year benefits every customer who needs that supplier this year. The regulatory patch we shipped to handle a new tax regime applies to every customer in that market. The fraud rule we tuned based on patterns across 50 million API calls is available to every customer the day we ship it. None of that is true on a homegrown stack.
adivaha® runs the platform as a continuously improving asset on behalf of our customers. Releases land monthly. Supplier coverage grows quarterly. Compliance updates ship as soon as the regulator publishes them. Your team focuses on the parts of your business that are actually unique to your customers — brand, audience, market positioning, supplier negotiations — rather than the parts that look the same as every other travel business’s plumbing.
Three deployment patterns we see most often — pick the one that fits your business and adapt as you scale.
One product, one currency, one supplier mix per category. Branded portal on your own domain. Sandbox for testing, production for live. Most solo agencies start here, ship in 2–3 weeks and process their first few hundred bookings within the first month.
B2C site plus B2B sub-agent portal sharing one supplier pool. Dynamic markups per agent group, credit limits, KYC, agent reports and per-agent statements. Multi-currency for cross-border markets.
Multi-tenant deployment with regional branches, local payment rails, language packs and per-market fare displays. Consolidated reporting at HQ rolls up everything automatically.
The point of these patterns isn’t to box you in — it’s the opposite. Customers move between them as their business shifts. We’ve had a Starter customer become an Enterprise customer in 18 months without ever changing platforms. The deployment model is fluid because the underlying platform is the same; you’re only ever toggling configuration, never re-platforming.
Direct partnerships with the GDS systems, hotel bedbanks and payment networks that handle the majority of travel transactions globally.
Our partnership network is the foundation of the platform. We hold an Amadeus Global CAP Licence with direct PCC provisioning, are recognised as an integration partner with Sabre and Travelport, and ship pre-integrated connections to Hotelbeds, Expedia, Agoda, RateHawk, GRN, Bridgify and dozens more bedbanks. Customers benefit from these relationships from Day 1 — no separate supplier negotiations, no waiting in line for credentials.
On the quality side, the platform carries an ISO 9001:2015 certification covering both platform development and customer delivery processes. Application security follows OWASP standards with annual third-party penetration testing. Payment processing flows through PCI-compliant tokenisation. Webhook payloads carry HMAC signatures. SSO and granular role-based access control are available on enterprise plans.
Operationally we commit to a 99.9% monthly uptime SLA for paid plans, with credit-back guarantees on enterprise contracts and Slack-channel access for direct support. The platform processes 50 million+ API calls per month at sub-second median latency, with per-key observability surfaced in every customer’s dashboard. None of these credentials are unusual by enterprise SaaS standards — but they’re relatively rare in travel-tech, and that’s exactly the point.
The reasons customers consistently cite when we ask why they picked us over the alternatives.
1. Travel-specific by design, not retrofitted. Generic SaaS doesn’t know what an ADM is or how a credit shell works. We’ve been building exclusively for travel for fifteen years, and the platform reflects that — ticketing, refunds, reconfirmations, supplier statements, multi-currency settlements, GST handling are all first-class concepts, not afterthoughts patched on top of an e-commerce engine.
2. Stable contracts, evolving features. Our API versions stay supported for at least 12 months after the next major version ships. Suppliers churn, regulations change, but your code keeps working. Non-breaking improvements land in your current version with release notes — no surprise upgrades, no “you must migrate by next quarter” emails.
3. One backend, every surface. The same engine across web, mobile app, agent portal and partner APIs. Same login, same wallet, same loyalty balance, same support thread. Customers move freely across surfaces and your team works in one place — no parallel inventory to maintain, no silos to bridge.
4. Live in days, not months. Most launches ship in 2–3 weeks. We’ve made the slow parts fast through repeatable templates, pre-integrated suppliers and a 24-hour sandbox provisioning policy. Speed-to-launch isn’t marketing — it’s a competitive advantage that lets you test markets, validate ideas and capture seasonal demand windows that slower competitors miss.
5. Transparent pricing, no surprises. Pricing is published on the site. Sandboxes are free. The move from sandbox to production is a permission flip rather than a contract negotiation. We don’t play games with hidden fees, surprise overage charges or per-API-call billing.
A typical travel-agency lead-to-booking funnel looks like this: customer enquires (100), agent builds quote in Excel (80 because 20 abandon mid-conversation), agent sends static PDF (60 - some never get the email or open it), customer compares with 2-3 competitors (40 still active), agent revises quote 2-3 times (30 still alive), customer eventually books (15-25). The biggest single drop-off is at the quote stage. Slow quotes kill deals.
adivaha's Quotation Builder cuts quote-build time from 30-60 minutes (in Excel) to 5 minutes - with live supplier pricing, drag-and-drop component swapping, branded PDF auto-generation and a shareable interactive link instead of a static PDF. Customers can self-modify the quote in their browser ("can I swap to a 5-star hotel?"), see new pricing instantly, and book with one click. Quote-to-booking conversion typically lifts 30-50% after deployment.
Add/remove components, swap dates, change cities - pricing recalculates live across all components.
Real-time fares from connected supplier APIs - no stale rates, no surprises at booking.
Auto-generated PDFs with your logo, colours, fonts, marketing copy and supplier policies.
Customer approves, pays once via adivaha Pay, every component books.
Conversion rate per agent, per package, per market with abandonment analysis.
Send quotes via WhatsApp, email, SMS or shareable link - customer picks channel.
AI suggests destinations, hotels, durations and add-ons based on customer profile.
Customer can self-modify the quote in browser; agent sees changes in real time.
Save winning quotes as templates - reuse for similar enquiries to cut quote time 80%.
From solo travel agents to 100-agent enterprise sales floors - the builder scales with your team.
Drag flight, hotel, transfer and tour components onto the quote canvas.
Adjust dates, room types, transfer classes, meal plans; pricing updates live.
Branded PDF auto-generated; send via WhatsApp / email / shareable link.
Customer approves, pays once via adivaha Pay, every component books.
Average uplift across travel agencies running adivaha's Quotation Builder.
Industry data from Phocuswright and Skift shows that travel agencies typically convert 15-25% of quotes to bookings. The other 75-85% of quotes - representing thousands of hours of agent work - simply die. Understanding why quotes die is the key to improving conversion.
The first reason quotes die is speed. Customers shopping for travel typically request 3-5 quotes simultaneously from different agencies. The first agency to respond with a polished, complete quote captures the customer attention. An agent taking 24-48 hours to send a manual Excel quote loses the deal to the agent who responded in 4 hours with a branded PDF. With Quotation Builder cutting quote time to 5-15 minutes, agents can respond in real-time during the customer's active decision window.
The second reason quotes die is rigidity. A static PDF quote is a take-it-or-leave-it offer. Customer wants to swap to a different hotel? Agent goes back to Excel, rebuilds the entire quote and sends an updated PDF. Customer wants to add a tour? Same loop. Each iteration takes hours and customers lose interest. Interactive quote links via Quotation Builder let customers self-modify the quote in real time and see updated pricing - eliminating the iteration friction.
The third reason quotes die is unclear value. A static PDF quote shows components and total price. It doesn't show why the agency's offer is better than competitors - what cancellation flexibility is included, what value-adds are bundled, how much the customer would pay if they booked components separately. Quotation Builder's branded PDFs include "package savings" highlights, value-add callouts, supplier reputation indicators and competitor comparisons that make the agency's offer obviously the right choice.
The fourth reason quotes die is friction at booking. Customer says yes to the quote, then has to fill a separate booking form, re-enter passenger details, re-enter payment info, navigate a different checkout - and abandons mid-flow. Quotation Builder integrates the approval-to-booking flow into a single click: customer reviews quote in their browser, taps "Approve and Pay", payment processes via adivaha Pay, every component books simultaneously. Friction drops to near-zero.
Beyond the per-quote workflow, Quotation Builder changes team-level dynamics. Sales managers can review which agents send polished quotes (high-conversion patterns) vs which send sloppy quotes (low-conversion patterns). Top-performer quote templates can be shared across the team as starting points. Win/loss analysis identifies pricing thresholds that close vs lose. Over months, the team's collective quote quality improves, lifting team-wide conversion 20-40%.
Quote-delivery channel matters more than most agencies realise. A 2025 Skift Research survey of 5,000 travel-quote recipients showed 47% prefer WhatsApp, 31% prefer email, 12% prefer in-person, 6% prefer phone and 4% prefer SMS. Yet most travel agencies default to email-only quote delivery, leaving 70% of customers receiving quotes through their non-preferred channel.
WhatsApp dominates in India, South-East Asia, Middle East, Africa and parts of Latin America. Customers expect WhatsApp responses to be near-instant (within 30 minutes during business hours). Quotation Builder integrates WhatsApp Business API natively - quotes deliver as rich messages with branded thumbnails, link to interactive quote pages, and trigger conversation flows for clarification. Booking confirmations, voucher delivery and post-trip review prompts all flow through the same WhatsApp thread.
Email still works well for North America, Europe and corporate-travel customers. Quotation Builder's email templates are mobile-first (since 70%+ of email opens are on mobile), use modular content blocks for different quote types, include calendar attachments for trip dates and trigger smart follow-ups (open-rate-based reminders, click-rate-based escalations to human agents).
Shareable links are the universal channel. A unique URL per quote that opens an interactive quote page - works on any device, any platform, any messaging app. Customer can forward to spouse / family for input, share with their existing travel agent for comparison, return to it days later to reconsider. The link itself collects engagement analytics (when opened, how long viewed, which sections clicked) helping the agent know when to follow up.
Travel customers comparing quotes from multiple agencies make decisions based on presentation as much as price. A polished branded quote with proper layout, clear pricing breakdown, embedded photos of hotels and destinations, day by day itinerary visualisation, and clear call to action signals a professional agency that will handle the booking competently. A scrappy Excel quote saved as PDF with formatting errors and tiny photos signals an agency that might also handle the booking poorly. Customers project the quote quality onto the assumed booking experience.
The customer comparing quotes from three agencies will typically pick the one that presents best, even if that quote is not the cheapest by a small margin. Industry research suggests well presented quotes can charge fifteen to twenty five percent premium over equivalent poorly presented quotes and still win the business. Over a year of quote volume, this premium compounds into significant revenue impact for agencies that invest in quote quality.
Beyond static presentation, modern quotes need to be interactive. The traditional pattern of agency sending a static PDF and waiting for customer feedback creates friction at every iteration. Customer wants to swap to a different hotel? Agent rebuilds the entire quote and resends. Customer wants to add a tour? Same loop. Customer wants to compare with and without insurance? Two separate documents. Each iteration adds days to the sales cycle and cumulatively kills conversion.
Interactive quote links solve this. The customer receives a link rather than a PDF. They open the link, see the quote, can switch hotel options to see updated pricing, can add or remove tours to see impact, can model with and without insurance side by side. The agent sees these modifications in real time and can intervene proactively. The interactive experience converts twenty to forty percent better than static PDFs because friction is removed at exactly the points where customers historically abandoned.
For agencies handling group bookings or family bookings or destination weddings the value scales further. A destination wedding quote involves accommodation for fifty to two hundred guests, transport coordination, event venue, catering, decor, photography. Static PDFs become hundred page documents that nobody reads. Interactive quotes let the bride and groom click into each component, see options, make decisions collaboratively, get parents and wedding planner input, all in one shared interactive document. Closing rates on these complex quotes improve from thirty to fifty percent as a result.
The agency that measures its quote conversion process learns things that surprise everyone. The most common surprise is that response time matters far more than perceived. A quote sent within thirty minutes of customer enquiry converts forty to sixty percent better than the same quote sent three hours later. Customers compare quotes during their active research window typically lasting two to four hours. After that window, the quote is filed away and rarely revisited. Agencies that systematically respond fast capture business that competitors lose to delayed response.
Quote modification patterns tell agencies which products customers actually want. If quotes for a particular destination are routinely modified to swap from a four star hotel to five star, the agency learns to default to five star for that destination. If quotes routinely get tours added in a particular order, that pattern becomes the default packaging. If insurance attach rate is high among older customers and low among younger customers, that informs how insurance gets positioned by demographic.
Abandonment analytics show where customers drop off. Quotes that get opened but not modified often signal pricing concern. Quotes that get heavily modified but not booked often signal genuine indecision. Quotes that get viewed multiple times over a week signal customer engagement and warrant active follow up. Each of these signals enables targeted agent action that scales conversion.
Per agent comparison reveals what top performers do differently. Top performers often have shorter average quote turnaround, longer average customer engagement on quote pages, more component variations sent (showing alternatives), more proactive follow up touches in the first forty eight hours after quote send. These patterns become trainable behaviours that lift the entire team rather than relying on individual talent.
<a href="trip-composer.html">Trip Composer</a> is for multi-city, multi-day trips with day-by-day planning, AI-driven destination suggestions and complex itinerary structures. Quotation Builder is for any travel quote (flight + hotel + transfer + tour = one quote), simpler and faster. Most agencies use both - Trip Composer for complex 10+ day trips, Quotation Builder for routine quotes.
Yes - you can expose the builder to customers as a self-service tool, agent-built only, or hybrid (agent starts, customer customises). Common pattern: agent builds initial draft, customer modifies hotel choice / room type, then approves.
Pricing is real-time from connected supplier APIs - the same inventory that powers your booking engine. No stale rates, no surprises at the booking stage. Quote validity windows configurable (typically 24-48 hours).
Yes - logo, colours, fonts, layout, marketing copy, supplier policies and call-to-action are all configurable. Multiple PDF templates can be saved per agency for different quote types.
Yes - per-pax pricing tiers, group caps, group discounts and group-specific quotes with named-pax handling.
Yes - any successful quote can be saved as a template. Common use case: a Bali honeymoon quote that closed at $3,500 can be cloned and tweaked for similar enquiries, cutting quote time to under 2 minutes.
Quotes can be presented in customer's currency (USD, EUR, GBP, AED, INR, SGD, AUD etc.) with daily FX rates and per-supplier settlement currencies.
Yes - per-agent, per-package, per-market conversion analytics with funnel breakdowns (sent / opened / modified / booked / abandoned). Helps coach underperforming agents and replicate top-performer patterns.
