--- title: "RevCon — Revenue Management for Hotels and Chains" description: "RevCon turns pace, pickup and forecast into daily decisions — pricing recommendations, a what-if simulator and an AI assistant, for one hotel or a whole chain." canonical_url: "https://revcon-demo.krisnatha.com/" meta: "og:description": "Pace, forecast, pricing recommendations and portfolio reporting for one hotel or a whole chain, with an AI assistant that answers in plain language." "og:title": "RevCon — Revenue Management for Hotels and Chains" --- [Live demo Revenue management, rebuilt — **See what's real today **](https://revcon-demo.krisnatha.com/about) # **Faster revenue decisions for **every hotel** you run. ** RevCon turns pace, pickup and forecast into a daily briefing your revenue team actually reads — with pricing recommendations, a what-if simulator and an AI assistant that answers in plain language. Built for one hotel or a whole chain. [**Request a demo **](https://revcon-demo.krisnatha.com/contact) **Take the product tour ** Reads from Oracle Opera or a daily CSV upload · never writes back to your PMS app.revconhq.com/dashboard **Dashboard · Demo data** **Saranya Beach Resort, Seminyak** **Synced 04:12 ** **Occupancy** **76.4%** **+6.2 pts ****vs STLY** **ADR** **IDR 2.31M** **+2.4% ****vs STLY** **RevPAR** **IDR 1.76M** **+11.0% ****vs STLY** **Pickup** **+142 RN** **last ****7 days** **Occupancy on the books · Next 30 days** This yearLast yearBudget Thu 29 OctFri 27 Nov **Needs a decision** **14–16 Nov · behind** −9 pts vs last year after a wholesale release **27–31 Dec · running hot** 94% forecast, pickup 1.6× last year **Opera sync · 04:12** All 3 hotels reconciled with PMS totals
Main screen load target, even for a chain portfolio view
**< 1s**
Main screen load target, even for a chain portfolio view
Intelligence layers: data, rate, demand, channel, market
**5**
Intelligence layers: data, rate, demand, channel, market
Levels of structure: organization, group, hotel
**3**
Levels of structure: organization, group, hotel
Standard data model behind every connector
**1**
Standard data model behind every connector
**Product tour** ## **Built on the numbers revenue teams check every day.** No plan tiers, no feature limits in the demo — every screen runs on two years of realistic booking history for a fictional chain. ### **A briefing your team actually reads** Occupancy, ADR, RevPAR, revenue and pickup for the next 7, 30 or 90 days — against last year and budget — with an attention list of the dates that need a decision today. - Plain-language summary written from the data itself - “Why it changed” notes next to every number - Daily email or in-app, plus weekly and monthly **Daily briefing · Wed 28 Oct**Demo data **The next 30 days are **6.2 pts ahead** of last year on occupancy. Christmas week is running hot; 14–16 November is **behind** after a wholesale allotment release. ** **Pickup yesterday** +27 RN 19 direct · 6 OTA · 2 wholesale **Cancellations** −11 RN 9 from one wholesale block **Budget, November** 96% On the books + forecast **Why it changed:** November revenue is 4% behind budget — wholesale is down 340 room nights, partly offset by OTA up 120. **Try it here** ## **Two features most revenue systems don't have.** Test a decision before you make it, and ask your data a question in plain English. Both demos below run on sample numbers. **What-if simulator** ### **Move BAR. See the effect first.** **1–30 Dec · sample** **BAR change****0%** −20%0+20% **Occupancy** 74.0% **+0.0 pts** **ADR** IDR 2.28M **+0.0%** **RevPAR** IDR 1.69M **+0.0%** **Room revenue** IDR 6.07B **+0.0%** Confidence range ±1.5 pts occupancy · simulation only, nothing is pushed anywhere. **AI assistant over MCP** ### **Ask in plain language.** **Read-only · your role's permissions** **Which hotel is furthest behind budget for November?** get\_portfolio\_rollupget\_budget\_variance Saranya Canggu House — 18% behind its November room-revenue budget. Wholesale is 212 room nights short; OTA is 4% ahead, which closes only part of the gap. Ubud is at 97%, Seminyak at 104%. Sample answers on demo data. Works with Claude or any MCP-capable assistant; every query is audited. **Everything in one console** ## **From the morning briefing to the group quote.** ### **Dashboard & daily briefing** Next 7/30/90 days at a glance, with an attention list for dates that need a decision. ### **Pace & pickup** Rooms and revenue on the books, pickup over 1–30 days, and a booking curve against last year. ### **Forecast & pricing** A demand forecast feeds recommended BAR levels per day, each shown with its reason. ### **What-if simulator** **Standout** Test a rate change, a closed channel or a group block before committing, with a confidence range. ### **AI assistant (MCP)** **Standout** Connect Claude or another assistant to your own data, with your exact role permissions. ### **Production reports & budget** Segment, channel, company and room-type production, plus budget variance by month. ### **Group quote evaluator** See whether a group or MICE request beats the transient demand it would displace. ### **Alerts, every day** Unusual pickup, cancellation spikes, occupancy thresholds and sync failures surface on their own. ### **Portfolio roll-ups** Roll up to group or chain level, rank hotels against budget, drill into any property. [**See the full feature breakdown **](https://revcon-demo.krisnatha.com/features) **How data gets in** ## **One standard model behind every connector.** Opera today, other PMSs later, or a daily CSV — each is mapped once. Every reservation change is kept as append-only history, so pace and STLY behave the same whatever the source. [**How it works **](https://revcon-demo.krisnatha.com/how-it-works) **Oracle Opera** **Nightly or real-time** **CSV / Excel upload** **Validated row by row** **More PMSs** **Same model, later** **Standard model** hotel · room\_type inventory · reservation segment · channel company · budget **Pace & STLY** **Forecast** **Pricing** **Reports & budget** **Chains and multi-hotel, from day one** ## **One login, every property your role allows.** A chain executive sees every hotel; a regional manager sees their group; a hotel revenue manager sees only their property — and can hold different roles at different hotels. - Portfolio roll-ups across a group or the whole organization, ranked against budget. - Row-level isolation: two organizations never see each other's data, enforced in the database. - Hotels in different currencies roll up into one reporting currency automatically. - A guided wizard brings a new hotel live in about a day. **Organization** **Saranya Hotels & Resorts** **Group** **Bali** **Hotel** **Beach Resort, Seminyak** **Revenue manager** **Hotel** **Ubud Retreat** **Revenue manager** **Hotel** **Canggu House** **Viewer** Example: one revenue manager's roles across the fictional demo chain **Frequently asked** ## **Questions revenue managers ask first.** Something else? [**Ask us directly**](https://revcon-demo.krisnatha.com/contact).
**What is RevCon? ** RevCon is a revenue management console for hotels and chains. It covers pace, pickup, same-time-last-year comparisons, forecasting, pricing recommendations, production reporting, budget tracking and alerts, scoped to an organization, group and hotel from day one.
**Does RevCon replace our PMS? ** No. RevCon reads from your property management system through a connector and never writes back — it does not touch rates or inventory in your PMS or channel manager. Pricing recommendations are shown with their reasoning; applying them is a manual decision.
**How does RevCon connect to our data? ** Every source — Oracle Opera today, other PMSs later, or a daily CSV/Excel export — is mapped once into one standard data model. Reservation changes are stored as an append-only history, so pace and same-time-last-year comparisons work the same way regardless of the source.
**Can an AI assistant query our revenue data? ** Yes. RevCon includes a built-in MCP server, so an assistant like Claude can answer questions about pace, forecast, budget variance and portfolio performance in plain language, using the same role-based permissions as the signed-in user.
**Is RevCon available today? ** RevCon is in active development and currently demoed on a fictional hotel chain. Request a demo to see every feature working against realistic data, and to talk about timelines for your property.
## **See RevCon on a realistic chain, not a sales deck.** Two years of generated booking history for a fictional resort and chain, so pace, forecast and STLY all have something real to compare against. [**Request a demo **](https://revcon-demo.krisnatha.com/contact) ## Sitemap See the full [sitemap](/sitemap.md) for all pages.