Product · Capabilities

A revenue operating system,
not a pricing tool.

ARIO is the only system that combines forecast, pricing, distribution, and audit into a single command surface — calibrated nightly, decision-traced end-to-end, and honest with the operator about what it does and doesn't know.

Five pillars

Every capability earns its place — built around the daily RM workflow.

Modules below each represent surfaces a working revenue manager opens during the day. Nothing is theoretical. Everything ships data, decisions, and audit trail you can defend in a budget meeting.

Forecast Layer

Proprietary ensemble forecasting calibrated nightly against actual graded outcomes. Accuracy drift is detected automatically and downgrades autopilot to safer tiers when confidence drops.

  • 365-day forward horizon, per-room-type, per-segment
  • Portfolio-level priors accelerate calibration for new properties
  • Plain-language Trust strip — Strong / Moderate / Drifting / Awaiting
  • Operator forecast overrides flow directly into the pricing engine

Pricing Engine

Calibrated willingness-to-pay modelling, per-room-type price elasticity, net-value hurdle rates, group displacement economics, and competitive-response logic — all running through a single safety-gated decision path.

  • Open Pricing — independent rate per channel with commission-aware net rate
  • LOS pricing, rate fencing, negotiated rates, loyalty rate plans
  • Per-date rate constraints (floor / ceiling / min-stay / stop-sell) enforced at every push
  • Strategy modes — Yield · Fill · Protect · Event — modulate every engine decision

Distribution Engine

Atomic queue with safety gates, source-priority resolution, parity enforcement, magnitude clamps, and per-channel idempotency. Every push is reconcilable end-to-end.

  • SiteMinder, RateGain, Mews, Cloudbeds, Apaleo, Protel, HMS / Hetras
  • Pre-push parity check — OTA rate violations refused, never reach the channel
  • Manual and autonomous push paths converge on identical enforcement logic
  • Stop-sell sweep + 24h manual hold — operator intent honoured absolutely

Rate Intelligence

Active rate parity enforcement, adaptive demand calibration from booking outcomes, and channel-level restriction management — running continuously without operator intervention.

  • Parity enforcement — any rate that undercuts your direct channel or Booking.com anchor is refused before it reaches the channel manager. No manual monitoring required.
  • Demand learning — the pricing engine updates its demand model from the outcomes of every rate push, adapting to your property's actual booking response over time.
  • Restriction management — min stay, max stay, close-to-arrival gates, and stop-sell are configured per room type and enforced per channel on every push cycle.
  • Commission-aware net rate — open pricing calculates the net rate after channel commission before comparing rates across distribution channels.

Safety Architecture

SAFE_MODE multi-signal monitor, per-property kill switch, calibration drift gating, tamper-evident decision journal with content-hash chain. The system fails closed, loudly.

  • SAFE_MODE engages on stale PMS data, calibration drift, OTA override, reconciliation mismatch
  • Operational mode — Shadow → Review → Autopilot — gated phase advance
  • Causal-chain explanations on every alert and every pricing decision
  • Tamper-evident audit storage — immutable record per push

Group + RFP Engine

Real net-value-vs-displaced maths, RFP win-probability logistic, adaptive group floor — and a competitive moat: ARIO writes the group block back into Opera natively.

  • Sub-3-minute group RFP turnaround with displacement cost surfaced
  • OHIP write-back — create group blocks directly in Opera Cloud
  • Corporate rate plan creation — same OHIP write-back path
  • Win-probability calibrated from booking pace + comp pressure + lead-time

Decision Journal

Every pricing decision, every override, every approval — stored with content-hashed audit chain. Defensible to GMs, owners, and auditors. This is the moat enterprise vendors don't ship.

  • Every decision: rationale + factors + signals + content hash
  • Reject / Defer / Approve workflow with operator attribution
  • Counterfactual replay — what would last strategy have done?
  • Tamper-evident export for monthly compliance review
From signal to decision

Pipeline that runs continuously and explains itself.

Data lands at night, models recalibrate, decisions queue, operator reviews in the morning, autopilot pushes during the day. Every step is auditable. Every step has a kill switch.

01

Ingest

PMS bookings, OHIP forecasts, comp rates, events, denial signals — landed nightly. File upload bridges the gap before live API.

02

Calibrate

Ensemble re-weighted by recent MAPE. Cross-property priors blended in. Drift checked. Trust score updated.

03

Decide

Optimal rate per (room × date × channel), bounded by per-date constraints, modulated by strategy mode, parity-checked.

04

Apply

Operator approves (Review) or autopilot pushes (within guardrails). Channel manager receives. Audit row stamped with content hash.

Quantitative foundation

Methods used by institutional revenue science.

ARIO's math layer is not a black box. Each method is named, calibrated, and observable in the model-health surface available to the founder console.

Proprietary ensemble forecasting
Weighted blend of multiple complementary forecasting methods. Weights re-learned nightly from observed accuracy. Drift detection auto-flags when accuracy degrades.
Portfolio-level pickup priors
New-property forecasts blend property-specific signals with portfolio-wide priors. Cuts calibration time from months to weeks.
Willingness-to-pay modelling
Per-room-type demand-response curve fitted from booking outcomes and denial data. Drives the optimal-rate computation against the demand forecast.
Calibrated price elasticity
Per-channel elasticity learned from observed conversion data. Bounded for stability. Strategy mode modulates the response at runtime.
Group displacement economics
Net-value-vs-displaced calculation against transient pickup behaviour. Adapts to lead-time and group-vs-transient interaction patterns.
Competitive-response logic
Strategic payoff modelling across observed comp-set behaviour patterns. Surfaces an explicit competitor-strategy decoder.
Net-value hurdle engine
Variable cost + displacement + competitive floor + minimum margin → per-room-type acceptance threshold. Group and corporate rates are evaluated against this floor.

See it run on your property

60-day pilot — no payment, no commitment. Just ARIO running on your live data with full founder support from day one.

Request a pilot