The Complete Guide to Using AI in the Hospitality Industry in Viet Nam in 2025

Vietnam's hospitality sector is at a clear inflection point in 2025: news outlets note that

more and more restaurants and hotels are integrating AI robots into their operations,

while university research highlights AI's potential to boost both operational efficiency and guest experience - so the shift from pilots to everyday service is already underway (Vietnam News: AI in the Hospitality Sector, RMIT Vietnam: AI Can Be a Game Changer for Vietnam Tourism).

Practical wins - think targeted pre-arrival upgrade offers built from past stays and loyalty tiers - are driving revenue and guest satisfaction (Personalized Pre-Arrival Upgrade Offers for Hotels in Vietnam), while national strategy, investment, and growing talent pools create the conditions for rapid adoption.

This guide maps where AI is delivering real returns in VN hotels and restaurants, and how teams can learn the skills to apply these tools responsibly and profitably.

AI trends shaping Vietnam's hospitality tech scene in 2025 are practical and fast-moving: hybrid accommodation models and widespread chatbots/virtual assistants are boosting direct bookings and multilingual guest support, while AI advertising and customer-data analysis power personalized packages that convert browsers into bookers (see VietnamPlus: hospitality AI use-cases in Vietnam).

Expect a mix of front-line automation - robots and Robotic Process Automation (RPA) to handle repetitive tasks - and smarter guest-facing tools like mobile check‑in, IoT-enabled room personalization and VR previews highlighted at industry shows such as HorecFex Vietnam 2025.

Generative tools are already cutting creative costs (N.T.Mai in Da Nang can make high-quality promo videos in a minute for ~300,000–500,000 VND), and market forecasts back the urgency: Vietnam's hospitality market is projected at about USD 22.44 billion in 2025 with growth ahead, so leaders are balancing efficiency gains with a rising skills gap that training programs must close before tech outpaces talent (RMIT University Vietnam).

The common playbook is clear - start small with pilot AI projects that lift revenue and guest experience, then scale while investing in upskilling and data governance.

“I really encourage every decision maker to focus on Robotic Process Automation (RPA).” - Ahmed Disokey, Peninsula Hotels (reported in Travel Weekly Asia)

Core AI applications in Viet Nam's hospitality sector read like a practical toolkit: multilingual chatbots and virtual concierges handle 24/7 guest questions and bookings (Hostie multilingual booking AI chatbot - 20+ languages), freeing staff for high-touch service; NLP-driven messaging and texting platforms streamline real‑time guest support and targeted upsells; machine learning powers dynamic pricing and demand forecasting to protect RevPAR; IoT plus predictive maintenance cuts downtime for HVAC and elevators; RPA automates invoicing and procurement in back‑office operations; and generative AI and content tools shrink creative costs for promos and quick video assets.

Local hotels can stitch these capabilities into existing property management systems to enable seamless bookings, smart housekeeping schedules, and near-real-time sentiment analysis that flags issues before reviews go public.

Vietnam's expanding AI-for-customer-service market also means scalable cloud options and multilingual platforms are increasingly affordable, so even independent hotels can pilot bots, trial voice or in‑room tablet services, and measure revenue lift from personalised pre-arrival offers without huge upfront spend (start with a focused use-case, then scale).

For a full rundown of practical hotel AI types and use-cases, see Emitrr's AI for hotels industry primer and Hostie's multilingual booking note (20+ languages).

Three Vietnamese success stories make the case for practical, revenue-focused AI: Vietravel has rolled AI into advertising, customer-data analysis and tour‑booking consultation so chatbots and virtual assistants can handle 24/7 itinerary advice, optimise ad spend and surface personalised tour recommendations that cut operating costs and lift conversion (see Vietnam News' coverage of AI in tourism: Vietnam News – AI takes the wheel in tourism industry

AI takes the wheel in tourism industry

); Vias Hotel Vũng Tàu used 360‑degree digital presentation and multilingual virtual assistants to improve first impressions and boost direct bookings by about 10% while easing staff burden; and in Đà Nẵng owner N.T.Mai transformed marketing economics - what once cost VNĐ30–40 million per campaign for video production can now be produced in a minute for VNĐ300,000–500,000 with AI, enabling real‑time pricing, booking forecasts and a 30% workforce reduction since late 2024 (for more on these content‑creation savings, see Nucamp AI Essentials for Work syllabus: AI cost reductions for Vietnamese hospitality).

Together these cases show a clear

so what?

: smart, targeted AI pilots can deliver measurable booking lifts and dramatic cost savings without wholesale reinvention of existing operations.

To launch an AI business for hospitality in Viet Nam in 2025, follow a tight, local-first playbook: start by validating a narrow revenue use‑case - think multilingual chatbots for bookings or AI-driven personalised pre‑arrival upsells - using market signals from the sector's rebound and segmentation data (see Vietnam's Tourism Sector 2025 analysis for demand and segment targets: Vietnam tourism sector 2025 quantitative analysis); build a minimum viable product that runs on mobile-first channels (mobile bookings make ~70% of online travel sales) and proves measurable lifts in conversion or cost savings; lean on practical features hotels already want - virtual assistants, ad optimisation, and rapid generative content - because case studies show promo videos can be produced in a minute for VNĐ300,000–500,000, cutting marketing cycles and costs; use Viet Nam's regulatory sandbox and growing AI talent pool to pilot locally and iterate quickly, and embed data‑localisation and PDP compliance from day one to avoid downstream risk (VietnamPlus: AI takes the wheel in tourism industry, Government report: Viet Nam a key destination for AI development 2025); finally, partner with OTAs, digital platforms and provincial tourism offices to scale pilots into paid deployments, and plan a skills/upskilling pathway so one trained operator with AI tools can match a far larger legacy team.

Perfect time for Viet Nam to jump into AI age: NVIDIA CEO Jensen Huang

Personalisation is the new revenue engine for Vietnamese hotels and tour operators: AI that analyses customer data can turn simple browsing signals into tailored pre‑arrival offers, dynamic packages and hyper‑targeted ads that lift conversions while trimming marketing waste, and local pilots already show the payoff - Vias Hotel Vũng Tàu boosted direct bookings by about 10% after adding multilingual virtual assistants and richer digital previews.

AI-driven dynamic pricing and demand-forecasting help protect RevPAR by adjusting rates in real time, while generative tools speed up creative production (one Đà Nẵng operator now makes high‑quality promo videos in a minute for VNĐ300,000–500,000), freeing teams to focus on high‑touch guest moments.

With Vietnamese travellers overwhelmingly open to AI - almost all use AI search and plan with AI‑generated recommendations - hotels can safely deploy 24/7 chatbots, segmentation models and itinerary generators to personalise the pre‑trip, during‑trip and post‑trip lifecycle; smart rollouts pair measurable KPIs (conversion lift, ancillary attach rate) with data‑privacy safeguards so personalisation drives revenue without eroding trust (see the VietnamPlus analysis of AI in tourism and Booking.com consumer findings reported by Vietnam News).

AI-powered language tools are turning Vietnamese from a barrier into a competitive advantage for hotels and tour operators: conversation tutors like Pingo AI Vietnamese conversation tutor let staff and guests jump straight into real‑life dialogues (ordering food, asking directions, hotel check‑in) with pronunciation feedback and Tutor Mode across Northern and Southern dialects, while travel‑focused apps such as Talkpal Vietnamese travel phrase app pack essential travel phrases into bite‑size practice and roleplays; voice‑first platforms like Talkio Vietnamese speech recognition and TTS add speech recognition and text‑to‑speech so front‑desk teams can train on realistic spoken exchanges.

For hoteliers this means faster, low‑cost onboarding for multilingual service, smarter in‑house phrase libraries for common guest requests, and more confident guests - Pingo reports 80% of learners feel more confident in just three weeks - so a short, focused practice routine can change the guest experience before arrival and reduce misunderstandings during stay.

"Pingo AI uses advanced, ultra-realistic AI to immerse you in Vietnamese - just like speaking with native speakers."

AI adoption in Việt Nam's hospitality sector hinges less on flashy robots than on people: the industry still needs roughly 40,000 new tourism workers a year while supply sits near 20,000, and only about 43% of current staff have formal professional training, so leaders must pair automation with serious upskilling and ethical guidance (see the VietnamPlus analysis on hands‑on training in tourism).

Practical, employer‑led programmes - think 70% practical content and short, project‑based courses - close the gap fastest, as Netspace and “hotel‑in‑school” models demonstrate, and national initiatives like the Vietnam AI Academy aim to expand high‑quality AI talent quickly by training thousands while promoting a “train the trainer” approach (details at the OANA News coverage of the Vietnam AI Academy).

Policymakers and hoteliers should also tackle real barriers: employees want AI and analytical skills but face lack of time, course cost and limited clarity about which skills matter most, so firms must fund role‑specific learning, embed ethics and critical thinking into curricula, and set clear KPIs for human+AI outcomes so staff are augmented rather than displaced (see the Economist Impact Vietnam skills report).

A humane, practical training pathway - short, hands‑on, employer‑backed and ethics‑aware - is the single most effective way to turn AI from a risk into a revenue and service accelerator for Vietnamese hotels and restaurants.

“Vietnam's tourism workforce faces not only a shortage in numbers but also a lack of quality.” - Professor Dao Manh Hung (VietnamPlus interview with Professor Dao Manh Hung)

Vietnam's AI industry outlook for 2025 sits at the intersection of big global opportunity and clear local choices: global studies argue that AI could add trillions to the world economy - PwC's synthesis points to as much as US$15.7 trillion by 2030 and McKinsey pegs generative AI's annual lift in the trillions - so the upside for Vietnamese hospitality and travel is real if the country captures its share (Global AI economic impact report - Horizon 2040, McKinsey analysis: how AI is transforming corporate strategy development).

At the same time, workforce studies warn of substantial task disruption even as new roles emerge, so Vietnam faces the dual task of managing displacement risk and building high-value AI skills and proprietary data assets that create competitive advantage (Nexford insights: how AI will affect jobs 2025–2030).

Practically, McKinsey's framework - using AI as researcher, simulator and thought partner - shows what matters: systems that can scan millions of data points and shortlist opportunities in minutes, coupled with local data and trained teams who can interpret and act on those insights.

The so‑what is simple: capturing AI's economic gains in Vietnam will depend less on buying the flashiest model and more on investing in data ecosystems, regulatory-ready deployment and targeted upskilling so hotels and tour operators can turn faster, smarter insights into measurable revenue and guest experience lifts.

The clear next steps for hospitality leaders and entrepreneurs in Việt Nam are pragmatic and sequential: pilot small, measurable human+AI workflows (start with RPA, multilingual chatbots or targeted pre‑arrival upsells that have driven roughly a 10% direct‑booking lift in local pilots), pair every pilot with tight KPIs and data‑privacy controls, and invest in role‑specific upskilling so staff move from routine tasks to higher‑value guest moments - training that can be delivered in focused programs such as Nucamp AI Essentials for Work syllabus (15‑week practical AI bootcamp) or via public‑private initiatives in digital talent development; use the regulatory sandbox and evolving legal framework to test safely and take lessons from city‑level digitalisation projects like Da Nang's VR/360, multilingual chatbots and shared big‑data platform that have already sped booking and service delivery (Da Nang digital transformation case study - OpenGovAsia).

For entrepreneurs, the fastest path to revenue is a tightly scoped MVP - mobile‑first, measurable, and compliant with Vietnam's emerging AI and data rules - so capital, partnerships and a repeatable pilot playbook matter more than buying the flashiest model; monitor national policy and incentives to align expansion plans with the DTI/PDP developments and investment opportunities described in recent sector analyses (Vietnam Briefing analysis: AI sector 2025 regulatory frameworks and investment opportunities).

The so‑what: a single, disciplined pilot - backed by the right training and governance - can turn AI from a headline risk into a predictable revenue and service lever for Vietnamese hotels and tour operators.

“I really encourage every decision maker to focus on Robotic Process Automation (RPA).” - Ahmed Disokey, Peninsula Hotels (reported in Travel Weekly Asia)