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Cocarooms

AI Occupancy Forecaster

Know who is leaving next month, and who is coming.

The forecaster reads your notice periods, agreement end dates and the calendar your residents live by, from semester ends to internship seasons and festivals, and tells you when to open bookings.

The rooftop

AI Occupancy Forecaster

Next 8 months
91%
Oct
93%
Nov
82%
Dec
89%
Jan
95%
Feb
90%
Mar
86%
Apr
78%
May

6 move-outs expected in December. Open bookings for January interns by 1 November to keep the dip under 2 weeks.

What lives in this room

Six things AI Occupancy Forecaster handles for you, so the manager can spend the day on residents instead of registers.

Move-out prediction

Expected move-outs per month, built from notices, agreement ends and past patterns in your property.

Local demand calendar

Semester dates, coaching batches, internship seasons and festivals near your property.

Student cycles

Plan for the May exodus and the July rush instead of reacting to them.

Working-professional cycles

Joining seasons for nearby offices and campuses, and the December slowdown.

When to open bookings

Clear suggestions on when to list beds and which sharing types will move fastest.

Plain-language summaries

A short note each week, not a dashboard you need to decode.

How it runs

Four steps, then it runs itself

  1. 1

    Learns your house

    Uses your occupancy history and current notices.

  2. 2

    Reads the calendar

    Adds local academic and work seasons.

  3. 3

    Forecasts by month

    Move-outs, demand and expected occupancy.

  4. 4

    Suggests the move

    When to open bookings and for whom.

On the label

The details

Forecast horizon
Up to 12 months
Granularity
Property, floor and sharing type
Inputs
Notices, agreements, history, local calendar
What it never does
Score or reject individual residents

Forecasts beds, never people

  • The forecaster predicts demand for beds across a property. It has no score for any individual resident.
  • It is not used to accept, reject or price any single applicant.
  • Forecasts come with the reasons behind them, such as semester end or notices served.

Questions

Asked at the front desk

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How accurate is the forecast?

Accuracy improves with history. Properties with a year of data on Cocarooms get the most reliable forecasts, and every forecast shows what it is based on.

Does it work for a new property?

Yes. With no history it leans on notices, agreement ends and the local calendar, then learns as months pass.

Which plan includes it?

The AI Occupancy Forecaster is part of the Shared and Whole House plans.

Does it set my prices?

No. It tells you when demand will be high or low. Pricing decisions stay with you.

Lights on

Every window lit. Every bed paid for.

Put your first 20 beds on Cocarooms tonight. Free, with no time limit and no card.

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