How AI Is Helping Hospitality Companies in Belgium Cut Costs and Improve Efficiency

By Ludo Fourrage

Last Updated: September 5th 2025

Hotel staff using AI tools dashboard, illustrating how AI helps hospitality companies in Belgium cut costs and improve efficiency in Belgium.

Too Long; Didn't Read:

AI helps Belgian hospitality cut costs and boost efficiency: 29% of travellers used AI to book summer trips, AI fraud tools cut false positives 86%, 84% face fragmented payments, automation halved check‑in time, lifted RevPAR up to 12% and cut back‑office costs ~15%.

Belgian hotels are already feeling AI's lift: Adyen's 2025 Hospitality and Travel Report found 29% of Belgian travellers used AI to book summer trips, and local gatherings - like the Belgium Hospitality Club's “AI meets Hospitality” evening reported by Hotelvak coverage of the “AI meets Hospitality” event - are urging hoteliers to “do more with less” via automation, personalised search and smarter pricing.

Sector research from CBRE study on AI efficiency and savings in the hotel industry highlights energy and inventory gains, while Accor's cloud‑AI rollout (with Deloitte) shows how bots plus humans preserve the luxury touch.

Teams that need practical, workplace-ready AI skills can consider Nucamp's AI Essentials for Work (15 weeks); details and registration are available on the Nucamp AI Essentials for Work syllabus.

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We have a mix of advanced bot and a human touch to personalise the conversation with our guests. - Patrice Merrien, Accor Telecom Director – Sales & Distribution

Table of Contents

  • Customer discovery, bookings and payments in Belgium
  • Payments, fraud prevention and checkout friction in Belgium
  • Revenue management and demand forecasting for Belgian hotels
  • Operational automation and labour optimisation in Belgium
  • Back-office efficiency, procurement and predictive maintenance in Belgium
  • Guest experience personalisation and revenue capture in Belgium
  • Fraud, data privacy and governance challenges in Belgium
  • Strategy, partnerships and next steps for Belgian hospitality teams
  • Frequently Asked Questions

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Customer discovery, bookings and payments in Belgium

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Customer discovery, bookings and payments in Belgium are rapidly shifting from list-based browsing to intent-driven journeys: Adyen's 2025 Hospitality and Travel Report shows 29% of Belgian travellers used AI to book summer trips and 33% of local hospitality businesses expect AI search tools to reshape the sector, which means hotels must turn inspiration into seamless checkout flows or risk losing guests to OTAs and AI agents.

At the same time operators face real payment pain - 84% cite fragmented online and on-site systems that complicate reconciliation, and 42% report rising payment fraud attempts - so platforms that stitch discovery to payment and layer AI fraud tools (Adyen's Protect, which cuts false positives) become essential to reduce checkout friction while protecting revenue.

When data is unified, the business case is clear: real‑time personalisation and dynamic bundling can lift conversion and in‑stay spend, as demonstrated by data platforms powering instant offers and concierge services; Belgian teams that combine AI search optimisation (think localized GEO copy and review‑driven content) with frictionless payments will capture more direct bookings and preserve guest trust.

MetricBelgium
Travellers using AI to book (Summer 2025)29%
Businesses expecting AI search to reshape industry33%
Merchants citing fragmented payment systems84%
Providers reporting increased payment fraud attempts42%
Adyen Protect false‑positive reduction86%

“AI technology has become incredibly important to guests looking for destination inspiration and quick, fun, and personalized itineraries, especially as summer vacations arrive,” said Phil Crawford, Global Head of Hospitality at Adyen.

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Payments, fraud prevention and checkout friction in Belgium

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Payments are the brittle bridge between inspiration and revenue in Belgian hospitality: Adyen's 2025 report shows 84% of local merchants wrestle with fragmented online and on‑site systems and 42% report rising payment fraud attempts, so checkout friction isn't just an annoyance - it's lost direct bookings and operational headaches unless teams act fast (Adyen 2025 Hospitality & Travel Report - Belgium payments and fraud study).

The fraud threat has been turbocharged by AI‑enabled bad actors, which is why multilayer, real‑time defences that combine device fingerprinting, document intelligence and behavioural scoring are becoming standard practice for hotels and booking platforms (AI multilayer defence for hospitality systems - Autohost blog).

At the same time, smart risk models can actually reduce checkout friction - Adyen's Protect, for example, cuts false positives dramatically so genuine guests aren't blocked by overzealous rules - while Europe's payment processors are deploying deep‑learning checks to spot sophisticated card and identity attacks.

The practical takeaway for Belgian teams: unify payments data, deploy AI‑led fraud scoring, and keep a human review layer to protect trust and avoid the backlash of “algorithmic auditing.”

MetricBelgium
Merchants citing fragmented payment systems84%
Accommodation providers reporting increased payment fraud attempts42%
Adyen Protect false‑positive reduction86%

“AI technology has become incredibly important to guests looking for destination inspiration and quick, fun, and personalized itineraries, especially as summer vacations arrive,” said Phil Crawford, Global Head of Hospitality at Adyen.

Revenue management and demand forecasting for Belgian hotels

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Belgian hotels are moving fast from gut-led rate sheets to AI-powered revenue engines that forecast demand and nudge prices in real time: market research predicts the hospitality pricing analytics sector will shift hotels “from reactive to AI-driven predictive revenue management,” and local teams can use these systems to capture event spikes and ancillary spend without frantic, last‑minute manual changes (GMInsights hospitality revenue management market analysis).

For independent and chain properties alike, machine‑learning models stitch together PMS pacing, competitor rates, weather and local search trends to tune room, F&B and package prices; in practice that can look like automated rate uplifts within an hour (one case raised executive‑room rates 22% in a single surge window) and fewer missed opportunities.

Belgian revenue teams should prioritise clean data, cloud RMS integrations and human oversight so AI recommendations (not replacements) drive RevPAR and reduce OTA leakage - paired with local GEO content for Grand‑Place or Atomium periods to convert demand into direct bookings (MyCloud Hospitality real-time hotel pricing examples).

When RMS sensors are tuned properly, AI becomes the hotel's most vigilant commercial colleague, spotting micro‑trends before competitors can react.

MetricValue
Base market (2024)USD 4.1 Billion
Forecast (2034)USD 13.1 Billion
Europe CAGR (2025–2034)~10%
Hotels & resorts segment (2024)USD 1.8 Billion

“The synergy between AI and human intelligence is crucial for driving a Revenue 360 strategy, empowering Revenue Managers (RMs) to make informed decisions with confidence.” - Álvaro Ponte Blanco, VP of Data at BEONx

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Operational automation and labour optimisation in Belgium

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Operational automation is turning Belgian hotel back‑offices into quiet engines of service: C‑Hotels' switch to a cloud PMS cut average check‑in from four to two minutes, moved 40% of arrivals online, slashed calls between housekeeping and reception by 93% and even lifted RevPAR by up to 12% - all after five properties went live in three days, showing rapid ROI from the right stack (Mews cloud PMS C‑Hotels automation case study).

Smaller operators see the same pattern: Domani Hotels reduced workload by 50% with a single property management platform and a virtual reception that scales service without adding shifts (Domani Hotels RoomRaccoon virtual reception case study).

Add smart key and self‑check tech to the mix and night‑shift overhead evaporates; contactless Keycafe SmartBox setups enable 24/7 arrivals that save staff hours and protect guest patience (Keycafe SmartBox hotel self-check-in automation case study).

The vivid, measurable payoff for Belgian teams is simple: fewer paper forms and frantic calls, more time spent crafting memorable guest moments - automation reallocates people to hospitality, not to repetition.

MetricResult
RevPAR uplift (some hotels)+12%
Average check‑in timeHalved (4 → 2 minutes)
Online check‑ins40%
Calls between housekeeping & front desk−93%
Paper waste−90%
Workload reduction (Domani Hotels)−50%

“Don't hesitate to move to Mews. Just do it, and don't be afraid of the implementation because it's not that difficult. Mews is a very user friendly PMS and it makes everything much easier. Not only at the front desk, but also at the back office.” - Inge Decuypere, Owner, C‑Hotels

Back-office efficiency, procurement and predictive maintenance in Belgium

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Belgian hotel finance teams can stop drowning in PDFs and start steering strategy: AI invoice capture and AP automation turn piles of supplier bills into instant, searchable data that powers smarter procurement, tighter cash‑flow and faster vendor payments - think MarketMan's instant invoice scanning that removes manual entry and Ottimate's hotel‑focused AP suite that digitizes invoices, applies GL codes and even schedules VendorPay to replace paper checks (MarketMan AI invoice scanning for restaurants, Ottimate AP automation for hotels).

The upshot for Belgium: shorter approval cycles, clearer multi‑property spend visibility and more time for GMs to negotiate contracts or plan maintenance windows - one concrete payoff observed across the sector is that automating daily reports alone can save up to half an hour per hotel each day, freeing staff for revenue‑generating work rather than data entry.

Bigger deployments scale too: AI models have been shown to process thousands of invoices monthly with high accuracy, and AP automation vendors report measurable cuts in operational cost and error rates, so teams that unify supplier data and route exceptions, not entire workflows, will see the quickest wins.

MetricValueSource
AP teams still manually input invoices82%Iron Mountain invoice processing solution
AP teams spending >10 hours weekly on manual tasks56%Iron Mountain invoice processing solution
Average operational cost reduction from back-office automation−15.3% year‑over‑yearPEX back-office operations AI automation
Time saved per hotel by automating daily reports~0.5 hours/dayM3 automated hotel processes
Invoice volumes handled by AI deploymentsThousands/monthCentelli AI in hospitality invoice management

“The OCR element of Concur Invoice is fantastic, the best I've seen in an invoice processing system. Now we can see what's in the pipeline and what will need to be paid next month. It's a great place to be, and a place where every business should be,” - Michael Berry, Head of Change Management, Ingeus

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Guest experience personalisation and revenue capture in Belgium

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Belgian hotels can turn AI from a novelty into a reliable revenue lever by layering generative models, edge‑based assistants and smart merchandising across the guest lifecycle: use LLMs to produce dynamic, localized content and booking pages that update hero images and copy in seconds, tailor bundles and upsell suggestions at the moment of checkout, and surface just‑in‑time concierge suggestions that match language and preferences - approaches Publicis Sapient highlights for content generation, travel merchandising and customer service (Publicis Sapient generative AI use cases in travel and hospitality).

For Belgian teams worried about latency or GDPR, on‑device processing can keep interactions snappy and data local (generative AI at the edge for hospitality - Avnet Silica).

Practical pilots that mirror Accor's cloud‑plus‑human model - automated answers for routine requests, humans for nuance - both lift conversion and preserve the high‑touch feel that drives repeat stays (Accor and Deloitte customer service transformation case study).

The payoff is tangible: more direct bookings, higher in‑stay spend from timely offers, and personalised journeys that convert curious browsers into loyal guests.

We have a mix of advanced bot and a human touch to personalise the conversation with our guests. - Patrice Merrien, Accor Telecom Director – Sales & Distribution

Fraud, data privacy and governance challenges in Belgium

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Fraud prevention and operational AI can shrink costs, but Belgian hoteliers must navigate a strict privacy and governance maze: the Belgian Data Protection Authority's new brochure explains how GDPR principles - lawfulness, transparency, data minimisation and human oversight - apply to AI systems, and links those rules to the EU AI Act that already sets additional transparency and risk‑based duties (Belgian Data Protection Authority brochure on AI and the GDPR).

Practical obligations matter for everyday tools like chatbots, recommender engines and booking‑flow automation: expect tighter rules on automated decision‑making, mandatory risk assessments, DPO involvement and clear retention policies so that guest data used for personalisation doesn't become a compliance liability (Alston & Bird guidance on the interplay between the GDPR and the EU AI Act).

Belgium's regulatory guidance and the AI Act also set hard deadlines and steep penalties - fines climb into the tens of millions or a percentage of worldwide turnover - so embedding DPIAs, human review checkpoints and robust logging isn't optional; it's the business protection that keeps a single non‑compliance from wiping out a marketing or loyalty push overnight (ActLegal analysis of trustworthy AI in Europe).

ItemKey detail
BDPA brochure published25/09/2024
AI Act entry into force1 Aug 2024; some provisions effective 2 Feb 2025; full applicability phases from 2 Aug 2025–2026
Maximum administrative finesUp to €35M or 7% of worldwide turnover (AI Act); GDPR fines up to €20M or 4% of turnover

Strategy, partnerships and next steps for Belgian hospitality teams

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Belgian hospitality teams that want to convert AI curiosity into lasting advantage should blend pragmatic pilots, local partnerships and staff upskilling: start with targeted pilots that solve measurable pain points (energy and HVAC dashboards, smart pricing, guest‑facing search) and scale what moves the needle, drawing on Deloitte's guidance for sustainable hospitality where one resort cut energy use across 11 sectors through real‑time systems (Deloitte roadmap for sustainable hospitality).

Tap the Belgian AI ecosystem - regional programmes like DigitalWallonia4.ai, Innoviris and VLAIO offer coaching, vouchers and R&D links outlined in the Belgium AI Strategy (Belgium AI Strategy - AI Watch report) - so projects get technical support and funding pathways.

Pair technology pilots with clear governance, DPIAs and staff training: practical, workplace-focused courses such as Nucamp's AI Essentials for Work teach promptcraft, tool selection and change management to turn pilots into repeatable wins (Nucamp AI Essentials for Work syllabus).

The fastest, lowest‑risk route is iterative: pilot, measure ROI, fix data plumbing, then scale with trusted local partners and a named AI champion to keep humans and algorithms aligned.

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AI Essentials for Work 15 Weeks $3,582 Register for AI Essentials for Work

“AI technology has become incredibly important to guests looking for destination inspiration and quick, fun, and personalized itineraries, especially as summer vacations arrive,” - Phil Crawford, Global Head of Hospitality at Adyen.

Frequently Asked Questions

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How is AI changing customer discovery and bookings in Belgium?

AI is shifting Belgian guest journeys from list‑based browsing to intent‑driven discovery: 29% of Belgian travellers used AI to book summer trips (Adyen 2025) and 33% of local hospitality businesses expect AI search tools to reshape the sector. When teams combine localized AI search optimisation with unified payments and frictionless checkout flows, they capture more direct bookings and increase in‑stay spend.

Can AI help reduce payment friction and fraud for Belgian hotels?

Yes. Payments are a key chokepoint - 84% of Belgian merchants cite fragmented online and on‑site systems and 42% report rising payment fraud attempts. Multilayer AI defences (device fingerprinting, behavioural scoring, document intelligence) plus human review reduce fraud and checkout friction. For example, Adyen Protect reports an 86% reduction in false positives, improving conversion while protecting revenue.

What operational and revenue gains have Belgian hotels seen from AI and automation?

Concrete gains include faster check‑ins (average time halved from 4 to 2 minutes), 40% of arrivals moved online, a 93% drop in housekeeping‑front desk calls, and RevPAR uplifts up to 12% in some hotels. AI revenue systems can also enable rapid price uplifts during demand surges (one case saw a 22% bump for an executive room in a surge window). The hospitality pricing analytics market is forecast to grow from about USD 4.1B (2024) to USD 13.1B (2034).

How does back‑office automation impact finance and procurement?

AI invoice capture and AP automation turn manual PDFs into searchable data, improving procurement, cash‑flow and vendor payments. Sector data shows 82% of AP teams still manually input invoices and 56% spend over 10 hours weekly on manual tasks. Typical outcomes include ~0.5 hours saved per hotel per day, thousands of invoices processed monthly by AI deployments, and average operational cost reductions of ~15.3% year‑over‑year.

What regulatory and practical steps should Belgian hospitality teams take before scaling AI?

Belgium enforces GDPR and aligns with the EU AI Act (AI Act entry began 1 Aug 2024 with phased applicability through 2025–2026). The BDPA published guidance on 25/09/2024. Non‑compliance risks heavy fines (AI Act: up to €35M or 7% of turnover; GDPR: up to €20M or 4% of turnover). Practical steps: run DPIAs, keep human review checkpoints, log automated decisions, pilot targeted use cases (energy, pricing, search), partner with local programmes (DigitalWallonia4.ai, Innoviris, VLAIO), and upskill staff (for example, Nucamp's AI Essentials for Work - 15 weeks; early‑bird cost listed at $3,582) to turn pilots into repeatable wins.

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Ludo Fourrage

Founder and CEO

Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. ​With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible