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AI-powered stay upselling

Recommend an additional service when it genuinely fits

Concierge AI matches approved offers to the timing and context of the stay, then presents them through the guest guide. The hotel controls the catalogue, conditions and frequency, keeping recommendations helpful rather than intrusive.

Example in action

The suggestion is based on the guest’s stay, not mass messaging

A timing rule and approved catalogue make it possible to present one useful service instead of a list of random extras.

Stay context

The guest has not booked dinner

It is 17:20, the restaurant is accepting bookings, and the communication limit allows one suggestion that day.

right timeapproved servicecontact limit maintained
Suggestion

One clear next step

Concierge presents the option to book a table and guides the guest to a conversation about the booking, without adding the service automatically.

  • service aligned with the hotel catalogue
  • justified contact timing
  • no booking without guest confirmation
Module scope

Contextual recommendations within set boundaries

The module actively presents selected additional services according to approved timing and frequency rules. Location, incentives and PMS data can improve relevance, but are not required for the basic rule.

Recognises the right moment

It considers the stage of the stay, the time and the agreed window in which a suggestion may be helpful.

Selects a service

It selects an item from the approved catalogue based on the available context, without creating a new offer.

Manages frequency

It applies limits on the number of suggestions and the intervals between them, so guests are not overloaded with messages.

Process

How is a stay-based suggestion created?

1

Checking the rule

The module assesses the stage of the stay, the time, the suggestion history and other approved conditions.

2

Selecting from the catalogue

It compares the context with services that the hotel has approved for active recommendation.

3

Checking limits

It checks that the guest has not already received a similar suggestion and that contact is permitted.

4

Presentation in Concierge

It shows a concise benefit and gives the guest the option to explore the service or skip the suggestion.

Data and outcome

The recommendation rule combines context with the catalogue

For each service, the hotel should define the right moment, audience, exclusions and limit. Location or PMS data expand the context only when available and permitted.

Input

What does AI use?

  • approved service catalogue
  • timing and audience rules
  • history of previous suggestions
  • optional PMS, location or incentive context
Output

What does the team receive?

  • tailored service suggestion
  • reason for the rule and timing
  • record of the presentation and guest response
Control

The hotel decides what can be suggested and how often

The team approves the catalogue, scenarios, exclusions and limits. Any rule can be disabled, and guests are not required to respond.

The decision remains with the team

Staff design the rules and monitor the results; the booking is only processed after the guest confirms it through the appropriate process.

Where does this module end?

The module does not change prices, confirm availability without a source, add a service to the bill or bypass communication limits or guest consent.

Outcome

More relevant opportunities to sell during the stay

Better timing

The suggestion appears when the service may suit the guest’s current situation.

Greater use of services

The hotel reminds guests about additional offers without manually sending every message.

Experience control

Limits and exclusions protect guests from suggestions that are too frequent or irrelevant.

Data and integrations

The guest guide and Concierge present the approved suggestion

The basic scenario uses the guest guide, notifications and Concierge AI. PMS, location and incentives can improve relevance if the hotel chooses to enable them.

Hotel guest guideStay notificationsConcierge AIOptional PMS and location analysis
Content hub

Related process elements

FAQ

Frequently asked questions

Is PMS necessary?

Not for simple timing rules. However, it can help exclude services already purchased or tailor the suggestion more effectively.

Does AI decide on the promotion itself?

No. It only selects from services, conditions and scenarios approved by the hotel.

How can we avoid too many messages?

The hotel sets daily limits, intervals, exclusions and situations in which a suggestion must not appear.

Is the service booked immediately?

No. The guest must confirm the booking in the module used to process services.

Design helpful upselling during the stay

We will help you select services, timings and limits so that recommendations support sales without harming the guest experience.

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