Enable only the categories you want. We remember your choice for 180 days across all site languages.

Privacy policy
Skip to content
Solutions

AI-powered stay personalisation

Tailor the experience to each guest without changing the hotel’s rules

AI combines the current conversation, ordered services, responses to earlier suggestions and available content. It uses this context to select a response, recommendation or useful fact within the approved offering and communication rules.

Example in action

The next response takes earlier events into account

AI does not build a lasting profile based on assumptions. It uses behaviour and information generated during the current stay, together with the property’s approved options.

Stay journey

A family asks about an afternoon plan

The guest previously showed interest in hiring bikes, is travelling with children and skipped the spa suggestion. The guest guide contains an approved family route.

conversation about childreninterest in cyclingspa offer declined
AI response

A recommendation aligned with the current stay

The Concierge suggests a family-friendly route and points out a child seat available in the catalogue, without repeating an unsuitable service.

  • use of explicit conversation context
  • selection of approved content and services only
  • accounting for the guest’s previous responses
Module scope

Better selection of responses, services and content throughout the stay

Personalisation organises the available context and applies it to subsequent interactions. It does not create sensitive profiles, change prices or make independent decisions about exceptions.

Combines context

It brings together questions, orders, responses to suggestions and content viewed during the current stay.

Selects the right option

It selects the approved responses, services and useful facts that best match the situation.

Applies exclusions

It does not repeat skipped suggestions and respects the limits, permissions and channel-specific rules.

Process

How does AI personalise the stay?

1

Gathering current context

The module reads interactions, orders and responses linked to the same stay.

2

Checking the rules

It checks the catalogue, permissions, communication limits and topics excluded from personalisation.

3

Selecting a response or content

It selects the most relevant approved option without inferring facts about the guest.

4

Recording the response

A response, click or skipped suggestion updates only the context needed for further service during the stay.

Data and outcome

Personalisation uses actions, not hidden assumptions

It is based on information voluntarily shared in conversation and events from the guest guide. Location or PMS data can extend the context only where there is an appropriate basis and agreed scope.

Input

What does AI use?

  • conversation with Concierge AI
  • orders and responses to suggestions
  • approved catalogue of services and content
  • optional PMS, location or incentive context
Output

What does the team receive?

  • tailored response or recommendation
  • explanation of the context used
  • updated context for the current stay
Control

The hotel defines the data and decisions permitted for personalisation

The team sets the sources, retention period, excluded topics and rules for individual services. Guests retain control over permissions and can skip any suggestion.

The decision remains with the team

A member of staff approves the catalogue and rules, handles exceptions and can check which context influenced a recommendation.

Where does this module end?

The module does not profile sensitive characteristics, set individual prices, change booking conditions, grant compensation or fulfil a service without confirmation.

Outcome

A more consistent experience without random messages

More relevant responses

Concierge uses the earlier context instead of starting every conversation from scratch.

Fewer unsuitable suggestions

The system takes the guest’s responses into account and does not repeat services that were skipped or excluded.

A consistent stay

Content, services and messages come from one controlled context for the current visit.

Data and integrations

Stay modules create a shared context

Concierge, service ordering, upselling and useful facts form the foundation. PMS, location and incentives can enrich personalisation, but are not required for every scenario.

Concierge AIService orderingUpselling and useful factsOptional PMS and location analysis
Content hub

Related process elements

FAQ

Frequently asked questions

Does AI create a permanent guest profile?

It does not have to. The core scope uses the context of the current stay and limits it to the purpose of providing service.

Does personalisation change prices?

No. It selects approved services and content but does not set individual prices.

Is location data required?

No. It can enrich selected scenarios only after the guest has voluntarily activated it.

Can I check why a recommendation was made?

Yes. The result should identify the relevant context and rule that influenced the selection.

Connect interactions into one consistent stay experience

We will define a safe context scope and the scenarios in which personalisation delivers real value to guests.

Book a free call