17 · Access International productIn progress / ready for deployment

Hospitality reception chatbot — Internal assistant and upselling

Internal tool for reception staff: find customer info in two seconds, suggest the relevant action or upsell.

Conversational chatbot for hotel reception staff (internal use, not end customer). Connected to PMS, CRM, and the establishment's knowledge base. The receptionist queries in natural language: customer profile and history, preferences, past stays, upsell opportunities, response scripts for common situations. Accelerates new receptionist onboarding and homogenizes service quality across teams. MCP-first architecture orchestrated through our ATLAS-Agentic methodology.

Goal
Give hotel front desk teams customer info in two seconds plus a recommended action.
How
Internal AI assistant + instant customer lookup + upsell suggestions + multilingual.

Benefits

  • The receptionist has the right information in two seconds (vs five minutes searching the PMS)
  • Systematized and factual upsell (not dependent on memory or daily commercial)
  • Accelerated new receptionist onboarding: three days instead of three weeks
  • Homogeneous service quality across the three daily shifts, weekends, and high seasons
Access reference — already deployed in production
Sector
Premium hospitality · first client scoping
Delivery mode
Internal reception assistant + contextual upsell suggestions
Volume / scope
First deployment in final spec
Stack
LLM · RAG · MCP-first · PMS integrations · multilingual
Status
In scoping, ATLAS-Agentic methodology applied

Reference anonymized under confidentiality. Details available on request under NDA.

Customer experience impact

Felt hospitality and NPS lift

The traveler who arrives at an establishment and is recognized (room preferences, allergies, stay motive) feels expected, not watched. The better-equipped receptionist delivers a more personal, more attentive welcome. The difference between a customer who feels tracked and a customer who feels served: their desire to return and recommend. Expected impact: improved Net Promoter Score, increased customer return rate, spontaneous recommendations.

Typical use cases

Independent or group hotels and resorts, riads, lodges, tourist complexes, luxury or business establishments.

Customer reception on arrival

The receptionist consults in two seconds the customer profile: room preferences, food allergies, stay history, travel motive, desired accompaniment. Immediately personalizes the welcome without navigating multiple systems.

Contextual and smart upsell

Suggestions of upgrades, late checkout, restaurant, spa, or activities, based on real availability, customer profile, and consumption history. The argument is served to the receptionist with the right tone.

New receptionist onboarding

The new receptionist queries in natural language the establishment's procedures, response scripts, pricing policies. Becomes operational in days instead of weeks of training.

Common situation management

Standard complaints, special requests, security procedures, delay management, overbooking. The chatbot provides the script and resources to handle the situation professionally.

Business functions served

Business functions served

This product applies to the following business functions. Click to discover how we adapt it to each.

Frequently asked questions

Frequently asked questions

Is this a customer-facing or staff chatbot?+

For reception staff. Internal use only. The end customer has no access. Combined with product 10 Tourism Orchestration or 16 AI Customer Advisor for direct customer communication.

Compatible with which PMS?+

Opera (Oracle Hospitality), Mews, Cloudbeds, Protel, Apaleo, Hotsoft, Misterbooking, and most market PMSs via their APIs. Custom integration possible for internal or proprietary PMSs.

How is the establishment's knowledge base built?+

Scoping workshop with management and reception manager: procedures, pricing policies, response scripts, commercial agreements. Vector indexing, validation through a sample of real cases, production deployment. Four to six week cycle.

What measurable impact?+

On similar deployments: customer reception time reduced by 30 to 50%, upsell conversion rate improved by 15 to 30%, new receptionist onboarding time divided by three. ROI measurable in months.

Customer data compliance?+

Strictly GDPR. The chatbot only accesses data already present in PMS and CRM, with role-based access control. Complete consultation logging. No data leakage to public cloud beyond what is strictly necessary for LLM inference.

Want to explore this product in your context?

Free initial scoping, 30 minutes to 2 hours, with a solution lead adapted to your sector.