Stayvant brings the entire resort into one connected operating system—with intelligence that helps your team understand what is changing, prepare the next step and stay in control.
For independent resorts. Developed with real hospitality workflows.
A change in bookings becomes context for the whole team.
The room that was ready. The detail someone remembered. The problem solved before it spoiled a stay.
Behind those moments, resort teams coordinate hundreds of decisions. A booking changes availability. A promotion changes demand. More guests change the supplies, preparation and work required.
Too often, the people running the property have to make those connections themselves—moving between calendars, messages, reports and spreadsheets.
Stayvant connects the work behind the stay, so your people have more time for the moments guests remember.
Explore how commercial opportunities and operational needs can be considered together. These illustrative scenarios show the direction of Stayvant's decision intelligence.
The question: which response fits this property, this date and the resources available?
Review booking pace, available rooms, current rates and relevant competitor offers.
Consider a rate change or targeted promotion alongside the supplies and work that additional guests would require.
Present the evidence, price limits and proposed tasks for an operator to review.
Track pickup, revenue and operational outcomes to evaluate the decision.
The question: how can the resort welcome more guests while maintaining its standard of care?
Review arrivals, departures, guest composition and the rooms still available.
Compare anticipated consumption with supplies and review room preparation and maintenance needs.
Bring a restock recommendation and a preparation checklist to the team for review.
Compare predicted usage with actual consumption and record where preparation helped or fell short.
Illustrative workflows and example figures—not live forecasts or measured results. Coordinated decision evaluation is a development direction; available workflows are confirmed for each pilot.
From the first booking to the next visit, Stayvant brings the commercial, guest and operational sides of a resort into a shared working environment.
Understand who is arriving, what is available and how every unit is being used.
Connect the places guests book with the inventory and rates your team manages.
Keep the details of a stay close at hand, from registration to departure.
Follow the money through the stay with connected charges and payment records.
Make the services around a stay easier to discover, request and coordinate.
Connect room readiness, maintenance and supplies with the work ahead.
Bring demand, market context and operating constraints into the decision.
Connect promotional effort and guest feedback to the needs of the property.
Platform scope shown. Stayvant is offered through managed pilots; module availability, integrations and live activation are agreed for each property. Provider-dependent workflows require configuration and acceptance before going live.
A natural way for authorized staff to work with operational information and prepare their next step.
Bring the relevant guests, units and occupancy into one answer.
Check availability and prepare the booking details for staff confirmation.
Use booking and market evidence to investigate the dates that need attention.
There are 2 occupied units and 3 adult guests across today's active reservations.
| Guest | Unit | Departure |
|---|---|---|
| Guest A | Aspen | 10 Oct |
| Guest B | Cortina | 09 Oct |
Example data. Staff access follows their permissions. Prepared changes remain subject to the required confirmation.
Pricing and resource forecasts start with the property's own evidence. Market context and operating constraints help make a recommendation useful.
Compare a proposed rate with the market, then review the evidence and your property's limits.
A proposal carries its supporting evidence. The operator reviews it before channel delivery.
Connect expected occupancy and consumption with the supplies available.
Forecasts remain advisory. Where history is insufficient, a labelled historical estimate takes their place.
Our development framework. Coordinated evaluation and broader adaptive learning are research directions; learning requires sufficient outcome data and validation for each decision type.
The right level of automation depends on the decision, the evidence and the rules of the property.
Review the evidence and constraints behind a proposed action, including where the available data is limited.
Permissions, price limits and property rules define who can approve a change and how it can be applied.
Start with review and approval. Extend automation only for validated workflows, with a clear way to return control to the team.
Stayvant separates operational services and decision models from the language model used for conversation. Access, provider configuration and data handling must be agreed for each deployment. Model choice—including a locally hosted option where supported—is evaluated against the property's requirements. The intelligence architecture is designed to evolve independently of a single conversational provider.
Stayvant is being developed alongside a resort design customer, with real workflows shaping the platform. The work starts with the details: preparing a stay, checking a rate, reconciling a booking and making sure the team has what it needs.
Our ambition is to make sophisticated operational intelligence accessible to independent resorts. Each property has its own seasonality, guest mix, resources and way of welcoming people. Its decisions deserve that context.
Intelligence should give people more room to provide hospitality.
Connected operational services, pricing and inventory analysis, recorded recommendations and operator approval boundaries provide the working foundation.
Evaluate forecast quality, decision usefulness and day-to-day workflow performance with real property data. Separate measured results from expectations.
Develop methods to evaluate commercial opportunities together with their operational consequences, and investigate how outcome evidence can improve future recommendations.
EstateScope is Stayvant's intelligence layer. Its current architecture includes separate demand and inventory models evaluated against later periods of historical data. Evidence thresholds and explicit fallback methods help distinguish a model forecast from a historical estimate.
The next research questions concern limited property history, relationships between decisions, and evaluation under operating constraints. Joint decision models, causal effects and broader adaptive learning each require their own validation.
Our intended measures include forecast error, recommendation usefulness, staff time and resource planning outcomes. Each pilot gives the team a defined setting in which to evaluate progress.
Explore a managed pilot around your property, your existing systems and the workflows that matter most to your team.
Opens an email to our team. Tell us about your property, current systems and the first workflow you would like to improve.
Discuss your property, the data available and the problems you want to solve.
Confirm modules, integrations, responsibilities, support and the measures of success before the pilot begins.
Review outputs alongside your current process. Expand the scope as evidence and operational readiness allow.
A pilot can start with intelligence alongside your existing system where the required data connection is supported. Any later migration needs reconciliation, an agreed authority model and a controlled activation plan.
We confirm the pilot's exact scope before onboarding. Availability depends on your integrations, data, configuration and acceptance checks. Payments, channel delivery and other live workflows are activated only when their prerequisites are met.
We agree a baseline and practical measures for the selected workflows—for example, time spent preparing a booking, forecast accuracy, recommendation usefulness or earlier visibility of supply needs. The evaluation distinguishes observed outcomes from projected benefits.