FORMATION IA
Outils IA pour les Petits Hôtels et Restaurants
Repartez capables de déployer l'IA pour les réservations, les menus, la planification et la messagerie clients.
Ce qu'elle couvre
Un atelier pratique de deux jours conçu pour les exploitants indépendants de l'hôtellerie-restauration souhaitant utiliser l'IA sans équipe technique dédiée. Les participants explorent la prévision de la demande, l'ingénierie de menu assistée par IA, l'automatisation du concierge WhatsApp et les outils de planification des équipes à travers des exercices concrets. Aucune compétence en programmation n'est requise. Chaque participant repart avec un plan d'action personnalisé pour son établissement.
À l'issue, vous saurez
- Set up a WhatsApp or web-chat concierge bot that handles at least five common guest request types without manual intervention
- Run an AI-assisted menu analysis to identify low-margin or underperforming items and propose data-backed alternatives
- Build a simple demand forecast for the next 30 days using your existing booking or cover data
- Evaluate and shortlist three no-code AI scheduling tools appropriate for a team of under 50 staff
- Produce a prioritised AI action plan for your venue covering quick wins within 90 days
Sujets abordés
- Demand forecasting and occupancy/cover optimisation with AI tools
- AI-assisted menu engineering: pricing, mix analysis, and seasonal adjustments
- WhatsApp and chatbot concierge setup for guest queries and reservations
- Shift scheduling automation for small hospitality teams
- Review analytics: monitoring and responding to guest feedback at scale
- Selecting and evaluating no-code AI tools suited to SME budgets
- Data hygiene basics: what hospitality data you already have and how to use it
Modalité
Delivered in-person or hybrid over two consecutive days (6-8 hours each). Facilitator brings pre-loaded demo datasets representative of small hospitality venues; participants are encouraged to bring anonymised samples of their own reservation or POS data. Hands-on exercises account for roughly 60% of time. A shared digital workbook is provided for ongoing reference after the workshop. Remote delivery is possible in a condensed format across three half-day sessions.
Ce qui fait que ça marche
- Nominating a single internal champion (e.g. front-desk manager) who owns the AI tools post-workshop
- Starting with one high-visibility use case (e.g. review response automation) to build internal confidence before scaling
- Connecting AI scheduling outputs directly to payroll or rota software to avoid double-entry and ensure adoption
- Revisiting the 90-day action plan at a 30-day check-in, ideally with a peer from the same workshop cohort
Erreurs fréquentes
- Investing in expensive all-in-one PMS add-ons before validating simpler standalone AI tools that cost a fraction of the price
- Automating guest communications without a clear escalation path, leading to frustrated guests and unanswered complaints
- Treating demand forecasting as a one-time exercise rather than a rolling weekly habit tied to purchasing and rota decisions
- Skipping data cleaning steps and feeding dirty reservation data into AI tools, producing misleading forecasts
Quand NE PAS suivre cette formation
If the venue already has a dedicated revenue manager and an enterprise PMS (e.g. Oracle OPERA) with built-in analytics, this foundational workshop will feel too basic — a practitioner-level programme focused on advanced yield management or ML-based forecasting would be a better fit.
Fournisseurs à considérer
Sources
Cette formation fait partie d'un catalogue Data & IA construit pour les leaders sérieux sur l'exécution. Lancez le diagnostic gratuit pour voir quelles formations sont prioritaires pour votre équipe.