RAYN Intelligence

The intelligence layer behind every booking, guest and revenue decision

RAYN connects bookings, WhatsApp conversations, spatial behaviour, guest profiles, reviews, campaigns and revenue signals into one learning layer, so operators can see what is happening, approve the right actions and measure what worked.

RAYN intelligence overview connecting bookings, guests, reviews and revenue signals
Spatial demand heatmap feeding a RAYN recommendation
RAYN operator view turning venue signals into recommended actions
  1. Read the signals
  2. Recommend an action
  3. Operator approves
  4. Measure and learn
One connected layer. Every signal considered. Actions your team approves.

One learning loop

A controlled decision loop, not AI as magic.

Every part of RAYN runs on the same loop. Signals become recommendations, recommendations pass through human approval, approved actions are executed and measured, and the outcome teaches the Brain to do better next time.

  1. Generate

    RAYN reads venue signals and proposes the next best action.

  2. Approve

    The operator reviews the recommendation before anything important happens.

  3. Execute

    Approved actions become campaigns, pricing changes, guest recovery, service prompts or operational tasks.

  4. Measure

    RAYN tracks what happened afterwards.

  5. Learn

    Outcomes feed back into the Brain so future recommendations improve.

Learn feeds back into Generate. Each cycle makes the next recommendation sharper.

Nothing important happens without a person approving it. The loop is controlled, evidenced and measured end to end.

Human approval & safety

AI that operators can trust because operators stay in control

RAYN recommends; the operator decides. Sensitive actions require review, and the system is built so that your team is never surprised by something running on the venue without them.

Outbound campaigns, pricing changes and operational actions are approval-led. Every action carries the evidence behind it, a confidence level and outcome tracking, so a recommendation can be judged before it is trusted.

The system earns trust by being useful, not by acting autonomously.

What RAYN reads

The venue considered whole, not one screen at a time.

An answer is only as good as the signal behind it. RAYN reads across the connected layer it already maintains, rather than a single table or report.

  • Bookings
  • Tables
  • Zones
  • Matterport behaviour
  • WhatsApp conversations
  • Guest profiles
  • Reviews
  • Campaigns
  • Events
  • Menus
  • Payments
  • Revenue
  • Service operations

The breadth is the point. A siloed answer is usually the wrong answer.

Example intelligence moments

The kind of thing RAYN notices, and what it does about it.

These are the specific, commercially grounded moments where connecting the signals changes the decision.

01

Terrace demand and weak terrace bookings

A terrace campaign is getting engagement, but terrace bookings are not following, so the interest is real and the mix needs a nudge.

02

Premium tables sold too early

Premium tables are being sold too early at low-value slots, giving away inventory that a later, higher-value booking would have taken.

03

A repeat guest at no-show risk

A repeat guest is showing no-show risk on the pattern of party size, channel, deposit status and lead time, in time to act.

04

A quiet Thursday to fill

A quiet Thursday needs a lapsed-guest campaign, with an audience and an angle drawn from who actually returns.

05

Reviews flagging arrival handling

Reviews mention slow arrival handling after events, pointing to an operational fix before it sets the tone for the venue.

06

A sunset slot with yield potential

A rooftop sunset slot has yield potential, where spatial demand, view and margin line up for the golden hour.

Each moment is a recommendation your team can approve, not a chart to decode.

Common questions

What operators ask about RAYN Intelligence.

Does RAYN make decisions automatically?

No. RAYN recommends and your team decides. Sensitive actions such as outbound campaigns, pricing changes and operational tasks are approval-led, so nothing important happens on your venue until a person signs it off.

Can RAYN work with our existing reservation system?

Yes. RAYN is designed to sit alongside the reservation, messaging, payment, POS and CRM tools a venue already runs, adding an intelligence layer without forcing a rip-and-replace of the systems your team relies on.

What is the difference between Ask RAYN and RAYN Brain?

RAYN Brain is the self-learning engine that reads venue signals and proposes the next best action. Ask RAYN is the conversational interface your team uses to question the same connected layer in plain language and get a clear answer.

What data does RAYN use?

RAYN reads across bookings, tables, zones, Matterport spatial behaviour, WhatsApp conversations, guest profiles, reviews, campaigns, events, menus, payments, revenue and service operations, so an answer reflects the whole venue rather than one screen.

Can managers approve actions before they are sent or applied?

Yes. Approval is built into the loop. Managers review each recommendation with its evidence and confidence, then approve, adjust or decline it before anything is sent or applied, and the outcome is tracked so the next recommendation improves.

Next step

Turn your venue data into decisions your team can act on.

Bookings, WhatsApp conversations, spatial behaviour, guest profiles, reviews, campaigns and revenue already live inside RAYN. The intelligence layer is how your team reads across all of it, approves the right actions and measures what worked.