Hey Travel-Tech & Tourism Pros,

Next Thursday, March 26, at 5 pm UK Time, I’m hosting a new solo LinkedIn Live for travel tech founders and GTM teams:

“How Travel Tech Teams Turn LinkedIn Into Partner and Sales Conversations”

I’ll cover positioning, profile, and Featured setup, content, DMs, follow-up, and a practical weekly rhythm.

If your LinkedIn looks active but results still feel inconsistent, this session is for you.

Attend here:

https://www.linkedin.com/events/7439633566671597568/?viewAsMember=true

Source & Date: Amadeus - March 19, 2026

Amadeus and TCS announced a global strategic partnership focused on accelerating airline retailing modernization. The framing is about scaling delivery across airlines with modern tech foundations, with AI positioned as part of the innovation layer that supports faster change.

Airline retail is turning into a platform race. Travel tech vendors and travel brands will feel the impact through faster product cycles, new retail capabilities, and tighter expectations on how offers and orders move across partners.

For travel tech: document your airline retail dependencies (offer creation, order management, servicing) and create a 90-day plan to reduce fragile integrations. For travel brands: ask your airline content providers what changes in the next 6–12 months and what actions will become easier (or harder) for your workflows.

Prompt: “Create an airline retail readiness brief: list our current offer and order actions, integration dependencies, failure points, and the top 5 upgrades needed to support AI-driven servicing at scale.”

Source & Date: Business Travel News - March 16, 2026

TPConnects added an MCP layer to its Astra NDC platform to simplify integration across NDC variations and make retail capabilities easier to connect to AI-driven workflows. The focus is on reducing the overhead created by fragmented schemas.

As AI increases search and servicing demand, distribution teams need consistent actions, not more custom mapping per airline. For travel tech, an abstraction layer can reduce integration churn. For travel brands and sellers, it can speed up the adoption of airline capabilities without constant engineering rework.

For travel tech: publish an “action coverage” list (what actions you support across airlines) and your fallback rules when airline-specific constraints appear. For travel brands: stop buying “NDC access” as a label. Buy measurable action coverage: search, ancillaries, order change, refund, and support paths.

Prompt: “Draft an ‘action coverage matrix’ for our airline integrations: airlines by action type, plus constraints, fallbacks, and what gets logged for each action.”

Source & Date: Skift - March 17, 2026

SAP Concur introduced new AI agents aimed at automating expense tasks and expanding workflow capabilities across travel and spend, with partner integrations as part of the rollout. The story positions “agent” assistance inside corporate operations.

Corporate travel is standardizing around policy-aware, permissioned automation. Travel tech vendors selling into this market need guardrails, audit trails, and reliable handoff. Travel brands and TMCs will increasingly evaluate vendors on how safely and consistently the system can execute.

For travel tech: choose one high-volume task (expense coding, itinerary changes, policy questions) and ship it with explicit permissions, confidence gates, and escalation triggers. For travel brands: require a governance pack from vendors: roles, approvals, what is logged, and how errors get handled.

Prompt: “Define a guardrail spec for one corporate travel task: user roles, permission checks, confidence thresholds, approval steps, escalation triggers, and the metrics to track time saved and error rate.”

Source & Date: PR Newswire - March 15, 2026

Trip.com shared three-year usage insights from TripGenie, highlighting growth in AI-assisted travel interactions and differences in how regions use AI across trip stages. The release frames AI usage as uneven by market and use case.

This is a roadmap input, not a marketing stat. Travel brands can prioritize where AI improves conversion and service by market. Travel tech teams can localize features based on what travelers actually do: planning, in-trip support, vs. post-trip tasks.

For travel tech: segment your AI features by trip stage and market, then attach one KPI per stage. For travel brands: build a simple “AI use-case scoreboard” by market: what travelers ask for, where drop-off happens, and where humans still carry the workload.

Prompt: “Create a trip-stage AI plan by market: for each stage (plan, book, pre-trip, in-trip, post-trip), define the top user intents, one KPI, required data, and the top 3 failure cases.”

Source & Date: PhocusWire - March 16, 2026

PhocusWire highlighted how AI can support digitization in tours and activities, a category still held back by fragmentation and inconsistent supply data. The focus is on where structured inventory, automation, and distribution improvements can unlock growth.

Tours and activities remain the biggest packaging bottleneck. If your supply is not structured and bookable, agents cannot compare, bundle, or service it. Travel tech vendors that fix the supply structure become strategic to brands that want scalable revenue from experiences.

For travel tech: build a “supply readiness” checklist for activity partners (data fields, availability rules, cancellation terms, pricing logic). For travel brands: stop trying to scale experiences with PDFs and emails. Standardize the minimum data you require from suppliers before you promote them.

Prompt: “Create an ‘agent-ready activities schema’: required fields, optional fields, availability rules, cancellation/refund logic, and a validation checklist for supplier onboarding.”

Source & Date: PR Newswire - March 19, 2026

Canary Technologies published survey data claiming most hotels plan to expand AI use in 2026, with emphasis on operational and guest experience applications. The message is that AI is moving from pilots into broader rollout.

Hotels are becoming more demanding buyers. Vendors will need proof of outcomes, not feature lists. Travel brands should assume their hotel partners will adopt more automation and will expect integrations that reduce cost-to-serve and improve guest response times.

For travel tech: productize one hotel workflow with a KPI target (response time, conversion, deflection rate) and a rollout plan. For travel brands: benchmark vendors using one consistent scorecard: outcome metrics, integration effort, data requirements, and risk controls.

Prompt: “Write a one-page implementation plan for one hotel AI workflow: target KPI, data inputs, integrations, rollout steps for 30/60/90 days, and the top operational risks with mitigations.”

Source & Date: Skift - March 19, 2026

Skift reports Google is pushing commerce and checkout infrastructure (carts, catalogs, loyalty) while OpenAI pulled back from transaction enablement. The implication is that distribution advantage may shift toward whoever controls transaction rails and product catalogs.

Why it matters:

If checkout and catalog protocols expand, travel brands and travel tech will compete on “executability”: clean catalogs, loyalty hooks, and reliable actions that can complete a booking. This affects how suppliers package inventory and how intermediaries defend their role.

For travel tech: audit your catalog and booking actions for “AI execution readiness” (structured products, pricing rules, policies, and error recovery). For travel brands: improve your product data and loyalty logic so your offers remain competitive in AI-driven discovery and booking surfaces.

Prompt: “Assess our booking funnel for AI execution readiness: catalog structure, pricing and policy rules, identity and loyalty hooks, required actions (quote, hold, book, change, cancel), and error recovery steps.”

The next phase of AI in travel is not about better chat. It is about dependable execution inside real systems: offer and order actions, policy enforcement, structured supply, and clean catalogs. If your product cannot act safely, log actions, handle errors, and integrate without constant exceptions, buyers will treat it as a risk and replace it.

All third-party articles referenced are credited to their original publishers and linked for full context. AI Tourism Innovator provides curated summaries and strategic commentary for travel tech and tourism professionals.

Kind regards, Ivan Ivanovic - AI Tourism Innovator | Visit my website