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FORMATION IA

Applications de l'IA pour les Opérateurs de l'Hôtellerie et du Voyage

Donnez à vos équipes hôtelières et touristiques les clés pour déployer l'IA sur toute la chaîne de valeur.

Format
programme
Durée
16–24h
Niveau
literacy
Taille de groupe
6–20
Prix / participant
€2K–€3K
Prix groupe
€12K–€28K
Public
Hotel general managers, revenue managers, front-of-house leads, and travel operations teams seeking practical AI adoption
Prérequis
No coding required; participants should have basic familiarity with their property management system and digital tools

Ce qu'elle couvre

Ce programme couvre l'application pratique de l'IA sur l'ensemble de la chaîne de valeur de l'hôtellerie et du tourisme, du yield management dynamique aux communications personnalisées avec les clients et aux chatbots concierge. Les participants apprennent à évaluer, piloter et déployer des outils IA adaptés à leur type d'établissement et à leur système d'information, à travers des exercices basés sur des scénarios réels. Le format combine des sessions animées en direct avec des ateliers pratiques sur les outils, permettant aux équipes de repartir avec une feuille de route d'implémentation concrète.

À l'issue, vous saurez

  • Identify and prioritise at least three AI use cases relevant to your property or travel operation with a clear ROI rationale
  • Configure and test a basic concierge chatbot flow for FAQ handling and booking escalation
  • Interpret AI-generated demand forecasts and adjust pricing decisions using a revenue management tool
  • Design a guest personalisation workflow connecting CRM data to communication triggers
  • Audit your current data infrastructure for AI readiness and identify the critical gaps to address

Sujets abordés

  • AI-driven dynamic pricing and revenue management fundamentals
  • Personalisation engines for guest profiles, upsell, and loyalty
  • Concierge and booking chatbots: design, deployment, and handoff logic
  • AI tools for operations: housekeeping scheduling, demand forecasting, and maintenance
  • Review monitoring, sentiment analysis, and reputation management automation
  • Data foundations: PMS, CRM, and channel manager integration for AI readiness
  • AI governance, guest data privacy, and GDPR compliance in hospitality
  • Building an AI roadmap: prioritising use cases by ROI and feasibility

Modalité

Delivered as a blended programme over 3-4 days (in-person or virtual instructor-led), split roughly 40% concept and strategy, 60% hands-on labs and case work. Participants work with anonymised hospitality datasets and trial accounts in tools such as Revinate, Cloudbeds AI, and leading chatbot platforms. In-person cohort delivery at a hotel or conference venue is recommended for immersion; fully virtual delivery is supported with breakout room facilitation. A pre-programme tech audit questionnaire is issued two weeks before start to tailor exercises to participants' actual stack.

Ce qui fait que ça marche

  • Securing a named internal AI champion per department who owns follow-through after training
  • Starting with one high-impact, low-complexity use case (e.g. review response automation) to build team confidence
  • Integrating AI tool evaluation into the existing annual technology review cycle
  • Establishing clear KPIs (RevPAR uplift, response time, NPS) before any pilot launch to measure impact objectively

Erreurs fréquentes

  • Deploying a chatbot without a clear human handoff protocol, leading to guest frustration at edge cases
  • Investing in AI pricing tools before cleaning and centralising historical booking and rate data
  • Treating personalisation as a marketing-only initiative and failing to loop in front-desk and F&B operations
  • Underestimating GDPR obligations around guest profiling and automated decision-making in the EU

Quand NE PAS suivre cette formation

This programme is not the right fit for a single-property owner-operator with no dedicated revenue or operations manager — the use cases assume some division of responsibilities and a minimum volume of guest data; a lighter AI literacy workshop would be more appropriate in that context.

Fournisseurs à considérer

Sources

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