One guest. One staff.
AI assistants for hotels
Use Case
Interaction Manager
Enabling collaboration and automation across all departments using natural language
Endpoint
dining-rsvp
BookingMWS643TP62
ReferenceEPT534
ActivityRestaurant reservation
SourceAPI
DepartmentIT
New restaurant booking:
Date: {date}Guests: {Guests}Restaurant: {restaurant}Notes: {notes}
Prompt templateCheck-in notes
BookingMWS643TP62
Used byFront Desk
Source5+ touchpoints
Templates2 used
Check-in prompt template
The guest is currently checking in into our property.
So far, these are our interactions with the guest:
{Interaction Summary}
We at the hotel want to provide the highest level of personalized customer service so use all of these {guest notes} to answer the following questions. Your answers provide an insight for the front desk team to personally welcome the guests.
Did the guests stay with us before? Either at this property or one of our partner properties?
Did the guests express interst in an upgrade or in one of our other room categories?
Do the guests have restaurant reservations during their stay?
So far, these are our interactions with the guest:
{Interaction Summary}
We at the hotel want to provide the highest level of personalized customer service so use all of these {guest notes} to answer the following questions. Your answers provide an insight for the front desk team to personally welcome the guests.
Did the guests stay with us before? Either at this property or one of our partner properties?
Did the guests express interst in an upgrade or in one of our other room categories?
Do the guests have restaurant reservations during their stay?
Prompt templateDining notes
BookingMWS643TP62
Generated atOct 8
Source3 touchpoints
Dining notes
Dining preferences:
Gluten-free options requested. Usually dines in-room for breakfast (7-8am).
Favorite order: Egg white omelet with spinach. Has dined at hotel restaurant twice, always requests quiet corner table. Wine preference: New Zealand Sauvignon Blanc.
Dining preferences:
Gluten-free options requested. Usually dines in-room for breakfast (7-8am).
Favorite order: Egg white omelet with spinach. Has dined at hotel restaurant twice, always requests quiet corner table. Wine preference: New Zealand Sauvignon Blanc.
Benefits
AI powered personalization
Personalized service consistently at scale at a fraction of the cost
Online reputation managementFor hotels, online reputation is everything - Tracking issues and ensuring smooth service recovery are critical in the long term.
Revenue growth through upsells
Personalization increases customer satisfaction as well as it provides more opportunities for upsells with our data intelligence solution.
Creating loyal customer relationsipsBrand value is built by fostering loyal customer relationships
FAQ
Frequently Asked Questions
General
Interaction Manager
At Next Checkout, our mission is to bring technology innovation to the hospitality industry. Technology enables businesses to provide high quality, personalized experiences to customers at scale. From a business point of view, our approach drives revenue growth by capturing more sales opportunities, optimizing marketing spend, and increasing brand value.
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