Empty rooms are decaying revenue. Agentrika watches occupancy, competitor rates, and live demand signals, then pushes the right price to the right channel for the right date — automatically, with min/max guardrails you set.
Featured example: hotel room dynamic pricing. Same pattern works for serviced apartments, clinics, classrooms, courts, equipment rentals.
Tonight · Deluxe King
Occupancy 71% · pickup -12 vs forecast
Comp set median €189 · soft demand
Recommend €179 · LOS 2+ · direct -5%
Push to PMS · OTAs · metasearch
Pickup & RevPAR vs forecast
Not “rate updated”
“+€2,840 RevPAR vs flat-rate baseline”
Spreadsheets and once-a-day rate decisions leave money on the table.
most independents reprice once a day. Demand moves by the hour.
tabs a revenue manager juggles: PMS, channel manager, OTAs, comp set, demand fcst.
of nights end at sub-optimal rates — either too cheap (lost ADR) or too high (empty).
most legacy RMS tools can’t explain why a rate moved. No audit trail.
A continuous loop. Every fifteen minutes, every room type, every channel.
Live ingestion from your stack and the open market. Nothing is sampled or batched overnight.
Live feeds
PMS
OTAs
Events
Flights
Weather
Search
All signals → demand model
A demand model fits your seasonality, segment mix, and pickup curve. Comp-set positioning explains your gap to peers per stay date.
Demand snapshot · next 14 nights
A recommendation per room type, channel, date, and length-of-stay. Always inside the floor/ceiling and channel-parity rules you set.
Recommendation · Mon Apr 27
Why?
Approved rates flow to your PMS and channel manager in seconds. Soft-window dates trigger personalized offers; cancellations trigger waitlist backfill.
Every recommendation is compared against the no-action baseline. Each rate change carries a complete audit trail — signal, model, decision, push, outcome.
Last 30 nights
In one platform. Plays nicely with the stack you already run.
Corporate, leisure, group, contracted — each modeled separately, each repriced separately.
Always-on rate shopping. Position your gap-to-median per room type, per stay date.
Brand-standard parity rules. AI never breaks them.
Min-stay, CTA/CTD, closed-to-arrival on shoulder dates — computed alongside the rate.
Soft windows trigger personalized offers via email/SMS/messenger to your CRM list.
A cancellation triggers a waitlist offer within minutes — not at the next nightly batch.
Every rate move shows the signal chain. Audit-ready by default.
Block consumption, washdown, and pickup are inputs — not afterthoughts.
Same engine for serviced apartments, clinics, classrooms, courts, equipment rentals.
Resource Utilization runs wherever your data lives.
Hosted, multi-tenant. Connect your PMS & channel manager and run.
For chains with strict data residency. Kubernetes-native, your KMS, your LLM.
Inventory on-prem, market data in cloud. Policy-as-code routing.
The same SISAV pattern applies anywhere capacity is perishable.
Per-room-type rate ladders, comp-set positioning, segment-aware pickup forecasts.
Multi-listing pricing across Booking, Airbnb, Vrbo, direct — with min-stay logic.
Slot utilization, no-show backfill, dynamic offers for low-occupancy windows.
Hot-desk, room, and cohort capacity priced by demand and lead-time.
Tennis, padel, fitness, event spaces — peak/off-peak rates and member discounts.
Fleet utilization (cars, boats, gear) priced per location, day-of-week, weather.
Tell us about your inventory and stack — we’ll show you the RevPAR ceiling.
Or reach us at info@aglium.com • Telegram
