Writing on AI, software architecture, SaaS, enterprise systems, travel technology and the business of building products.
Subscribe via RSSTravel-tech glossary →Free tools →AI agents can search, compare and assist with bookings, but travel involves money, rules and irreversible actions. A practical view of agent use cases, tool design, guardrails and where human confirmation remains essential.
Travel is an attractive target for card fraud: high-value products, fast fulfilment and easy resale. How travel platforms combine risk signals, 3-D Secure, review queues and chargeback handling without blocking good customers.
Free text is hard to automate. JSON schemas, validation, tool calling and approval steps turn language models into dependable components of business systems, from email triage to booking changes.
When a booking fails, you need to know which supplier, which call and why — in minutes. Correlation IDs, safe request logging, per-supplier metrics, tracing and alerting that make multi-supplier travel platforms debuggable.
Supplier currency, selling currency and settlement currency are rarely the same. How to store money correctly, snapshot exchange rates, apply markup and rounding, handle refunds and keep FX exposure visible in a travel platform.
Every unticketed airline booking has a deadline. How booking platforms track ticketing and payment time limits, warn customers, issue or cancel on time, and keep reservations clean across GDS and NDC channels.
Agency debit memos are airline charges for booking and ticketing mistakes. Most are preventable in software: inactive segments, duplicates, fare misapplication and refund errors can be caught before an airline audit finds them.
AI coding assistants can speed up delivery or quietly lower quality. Practical rules for using them in production teams: where they help most, review standards, testing, security, context management and measuring the impact.
AI agents can search, compare and assist with bookings, but travel involves money, rules and irreversible actions. A practical view of agent use cases, tool design, guardrails and where human confirmation remains essential.
Airlines are moving from filed fares and fixed price points toward offers built in real time. What dynamic offers and continuous pricing mean, the technology behind them, and how sellers and travel platforms should adapt.
Most travel operations cost sits after the booking. How to automate supplier reconciliation, schedule changes, refunds, invoicing and exception queues, where AI helps, and how to keep humans in control of the hard cases.
Demos are convincing; production is not forgiving. A practical evaluation method for LLM features: defining success, building test sets, combining automated checks with model graders, and catching regressions.
Vector search powers RAG and semantic search, but the database choice is often overstated. How to decide between an extension on your existing database and a dedicated vector engine, and what actually drives retrieval quality.
Most of the quality in a retrieval-augmented system is decided before the model writes a word. A field guide to chunking, retrieval and evaluation for internal knowledge assistants.
Legacy systems hold critical data and processes, and replacing them is risky. Practical integration patterns — anti-corruption layers, strangler fig migration, change data capture and batch bridges — for modernising around them safely.
Every platform team faces the same question: build it, buy it or integrate it? A practical framework based on differentiation, total cost, control, integration effort and exit options, with examples from SaaS and travel technology.
B2B buyers need reliability before features, but early products need speed. How to scope a B2B platform MVP, choose what to build properly from day one, run design partnerships and avoid rewrites after the first customers.
You do not need a container platform to deploy without downtime. How atomic release directories, symlink switching, health checks, rollbacks and least-privilege deploy users give a single Linux server safe, repeatable deployments.
MySQL can carry serious transactional workloads when it is used well. A practical sequence for scaling: query and index design, connection management, read replicas, safe schema changes, partitioning and archiving.
ONE Order aims to replace PNRs, e-tickets and EMDs with a single customer order. What it is, why airlines want it, and how travel platforms should prepare their data models now.
Agencies, airlines, banks and loyalty programmes all want their own booking site. How to architect a white-label travel platform with per-brand configuration, content, commercial rules and domains, without forking the product.
In B2B travel, every agency, sub-agent and corporate client expects its own pricing, credit, permissions and reports. Putting the account at the centre of the data model keeps those rules manageable.
Shared tables, schema per tenant or database per tenant? A practical guide to multi-tenant SaaS data isolation, tenant context, noisy neighbours, customisation and how to move between models as you grow.
Redis is usually introduced as a cache, but its data structures solve many coordination problems. Practical patterns for rate limiting, distributed locks, request deduplication, queues and leaderboards, with their limits.
Caching makes flight search fast and affordable, but stale fares erode trust and conversion. Strategies for cache keys, TTLs, pre-warming and re-pricing that balance speed, cost and accuracy.
Every travel search hits supplier systems, and suppliers measure searches against bookings. What the look-to-book ratio is, why it matters commercially, and the engineering levers that keep it under control.
Partners judge a platform by how quickly they can integrate. Practical guidance on resource design, versioning, error formats, pagination, authentication, sandboxes and documentation for B2B APIs.
Webhooks look simple until a partner misses an event. How to design webhook delivery with outbox patterns, retries with backoff, signatures, ordering, replay and monitoring that partners can trust.
Microservices solve organisational and scaling problems, but they add distributed-systems complexity. Why a well-structured modular monolith is often the better starting point, and the signals that justify splitting services out.
Connecting hotel suppliers is easy to start and hard to finish. A practical guide to property mapping, rate structures, cancellation policies, price checks and booking reliability for hotel APIs.
Timeouts and retries are normal in distributed systems. Idempotency keys, state machines and reconciliation make booking and payment flows safe to retry, without duplicate charges or orphaned reservations.
Search, pricing, booking, payment, ticketing and servicing: how the parts of a modern travel booking engine fit together, where they fail, and which design decisions are hardest to reverse.
Airline content now arrives through two very different channels. A booking engine that treats them as one model, with separate adapters, avoids rebuilding every time a carrier changes course.
NDC changes how airline content is shopped, priced and sold. A plain-language guide to the offer-and-order model, the core messages, and what it means for agencies, OTAs and travel platforms.
No articles match that search. Try a broader term or choose another category.
