
Demand Calendar — Hotel Business Intelligence |
The Single Source of Truth for Hotel Teams
The Single Source of Truth for Hotel Teams
You have enough data. You lack truth. Most hotels run rooms, F&B, meetings, events, and spa on separate systems — so Finance, Sales, and Revenue Management each work from a different version of the numbers. By the time the debate is settled, the booking window has closed. Demand Calendar is hospitality-only Business Intelligence. It pulls every revenue stream and variable cost into one cloud platform, so your whole team can forecast demand and plan the response together — against the same numbers. Built for independent hotels and groups of 5–65 properties running multiple revenue streams on a cloud PMS (Opera Cloud, Mews, Clock). Live in under 60 days, speaking RevPAR from day one. Forecast Demand. Plan Together. Act First. Why Demand Calendar Every revenue source and cost in one view. Rooms, F&B, meetings, events, spa — plus labour and acquisition cost. One profit picture, not six dashboards that disagree. Real-time, not yesterday's news. OTB, pace, pick-up, early-warning trends, and automatic CAC and net-profit calculation as the data lands. One platform, every role. Revenue, Sales, Marketing, and Finance plan from the same forecast — so the two-week month-end reconciliation between departments goes away. Read-Write, so the strategy stays. Your team builds budgets and forecasts inside the platform. When someone leaves, the strategy doesn't walk out the door in a spreadsheet. Built only for hotels. No generic BI configuration, no technical staff, no months of setup. It understands hotel data on day one. Runs on Google Cloud. Encrypted, continuously updated, no disruptive version upgrades. Hotels move off spreadsheets because a spreadsheet strategy is single-user, error-prone, and gone the day the person who built it leaves. Spreadsheet dependency is a 2010 strategy. "Demand Calendar transformed how we manage our commercial strategies, making us more proactive rather than reactive. Our entire team now works out of one place with the same data, and our use of Excel has dropped by around 95%." — Alexander Killi, Director of Revenue & Distribution, Classic Norway Hotels Implementation & adoption Onboarding: Automated data collection and pre-built connectors. Minimal IT work — our team builds the integrations. Adoption: Most users learn the dashboards in a few hours. Start where your data is: Begin with room revenue, add total revenue (F&B, M&E, spa), then add labour and acquisition cost for full profit visibility. You never buy more than your team can use. Updates: Continuous deployment, no downtime.
Works with 10 systems
100 features in 9 groups
Specs and adoptionSpecs and pricing
Demand Calendar is priced per room, per month, with a one-time implementation fee per property. Three tiers — Rooms, Total, Profit — so you start where your data is today and upgrade when you're ready. Unlimited users at every tier. All standard integrations are included and maintained for the term.
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Demand Calendar✓ 1 product · Stockholm›Technical specifications
Specifications
Technical specifications
Cloud-native architecture
- Google Cloud foundation — built on Google Cloud for performance, security, and resource efficiency.
- Purpose-built data warehouse — a custom hospitality store for rooms, F&B, meetings and events, spa, and more, with rapid retrieval.
- API-centric — all functionality exposed via RESTful APIs for third-party integration and front-to-back communication.
- Microservices — data ingestion, analytics, and reporting run and scale independently.
Continuous deployment & security
- Zero-downtime updates — features and fixes ship continuously without interrupting operations.
- Feature flags — selective releases for pilot customers shorten feedback loops.
- Security — data encrypted at rest and in transit; Google Cloud DDoS protection and identity management at every layer.
Managed services & reliability
- Managed infrastructure — Google Cloud handles patches, updates, and performance tuning.
- Cloud-adaptable — Google Cloud is the recommended environment; the design adapts to Microsoft Azure or AWS where required.
Configurations
Configuration
1. Data connectivity & mapping Demand Calendar connects to all your revenue sources — rooms, F&B, events, spa, and others — and extracts the data into our database automatically.
- We do: coordinate directly with your vendors (PMS, POS, event systems) to set up the feeds.
- You do: confirm the figures in Demand Calendar match your source systems.
2. Verification & customisation Once data is mapped, your dashboards, views, and reports go live.
- We do: tune custom fields and revenue categories for your reporting.
- You do: check that each department's data is captured correctly.
3. Training & adoption After verification, training begins. Most users learn the essentials in a few hours.
- End users: daily use of dashboards, analytics, and reports.
- Super users / admins: a few extra hours for roles, settings, and configuration.
4. Timeline
- Typical: a few days to a few weeks from receiving vendor access; live in under 60 days.
- Immediate insights: real-time reporting is available the moment your data is verified.
Scalability
Scalability
- Elastic resources — capacity scales up and down with demand, holding performance through peak periods.
- Modular design — API servers, databases, and processing modules scale independently; if one component has an issue, the rest stays operational.
- Global footprint — Google Cloud's worldwide infrastructure keeps performance and reliability consistent across regions.
- Rapid recovery — in a failure, resources redeploy to alternate zones, preserving data integrity.
Integration notes
Integrations
We do the integration work.
Demand Calendar receives data through automated reports, file uploads, or vendor APIs, and our team handles the technical mapping from each system — PMS, RMS, rate shopping, benchmarking, POS, event management, and other revenue platforms. Every standard integration is maintained at no extra charge for the term. Your whole operation works from one set of real-time numbers.
FAQs
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