Bring cancellation intelligence into your product.
Add reservation-level cancellation risk, cancellation-adjusted occupancy and overbooking recommendations to the workflows your customers already use.
Embedded intelligence layer
Auctores signal inside partner product surfaces
Illustrative integration · example values, not customer results.
Auctores Signal API
Expected occupancy from current bookings
one stay date
At risk
4 room nights
Suggested
+2 rooms
50 booked room nights. Extra availability depends on the selected strategy and limits.
PMS native widget
+2 roomsWidget
RMS forecast
API
BI dashboard
Embed
Guest journeys
HighWhite-label
Flexible delivery
API, widget, white-label, and more
Industry collaboration
Working with PMS, RMS and insurers
Custom Support
Tailored pilot and hands-on help
Data hosting
Hosted in Europe
Turn booking risk into a useful product input.
Auctores estimates the likelihood that existing reservations will cancel or no-show. It does not predict all future bookings. Choose a use case, then test whether the signal improves decisions in your product.
PMS workflows
Surface Smart Overbooking recommendations, expected occupancy views, or cancellation-risk summaries where hotel teams already manage reservations.
RMS and pricing logic
Add cancellation-adjusted occupancy from existing bookings as an input to your forecasting or pricing workflow. Validate the effect alongside your own demand model.
Portfolio and BI visibility
Show cancellation exposure by hotel, date, room type, segment, channel, or market for operators and analytics teams.
Protection and insurance products
Identify where cancellation-related value is concentrated and strengthen targeting, partner conversations, or protected-booking logic.
Choose how the signal reaches your users.
Some partners want a ready-made widget. Others want a native or white-label surface. Others want the raw prediction signal earlier in the chain. Auctores supports all three.
01
Widget delivery
Expose Auctores as a ready-made Smart Overbooking or analysis widget inside the partner platform.
02 · Featured path
White-label or native delivery
Auctores shares recommendations or expected occupancy views while the partner renders them natively in their own dashboard or workflow.
03
Raw signal delivery
Send the underlying reservation-level cancellation prediction so partners can use it inside their own algorithms, features, or decision logic.
Native delivery example
apaleo One / UI integration
The apaleo One / UI integration path is the clearest current example of how the signal can live inside an existing hospitality software environment instead of forcing users into a separate tool.
Custom integrations can usually be scoped quickly around the signal the partner wants to expose and the depth of embedding that fits the product.
Keep rollout pragmatic, reviewable, and easy to expand.
Keep rollout concrete: align the use case, validate the signal, pilot the right surface, then expand once workflow fit is proven.
- 01Align the use case, data flow, and success criteria.
- 02Validate the signal on real partner or pilot-property data.
- 03Start with a read-only or limited-scope rollout.
- 04Expand the surface only after the team is comfortable with the signal.
Security and privacy
Built for high-trust hospitality data work.
- Hosted on EU servers
- Privacy and data-processing scope reviewed before rollout
- Security and privacy details can be reviewed directly in conversation
Review our privacy information and data processing agreement.
Tailored to the delivery model and product need.
Software pricing stays custom because the right solution depends on what is delivered, how deeply it is embedded, and how the partner plans to roll it out.
Widget, native surface, or raw signal
Choose the lightest delivery model that improves the workflow the partner already owns.
Pilot first, broader deployment later
Commercial scope can stay narrow while the team validates signal quality, workflow fit, and user adoption on real data.
Priced around the actual embed depth
Auctores scopes around the signal, infrastructure, and operating model the partner actually needs instead of forcing a generic package.
Plan your first integration.
Tell us the use case and rollout you have in mind. We’ll scope the integration and commercial model around your product.