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AI Solution · Real EstateReal Estate

Anticipate the peak before the season arrives

Peak Radar predicts purchase and rental demand area by area, with special attention to the market's seasonal peaks, so your sales and acquisition teams can react before the busiest moment arrives.

By area
granular prediction
Seasonality
forecast ahead of time
Fewer missed opportunities
during demand peaks
The Challenge · When demand catches you off guard

Opportunities are lost exactly when the market is busiest

Back-to-school season, the end of the university year, or sales campaigns drive demand unevenly across areas, and generic forecasts don't catch it in time.

📈

Peaks you don't see coming

Rental or purchase demand spikes on specific dates and the general forecast doesn't distinguish area by area.

🏠

Late portfolio acquisition

By the time the peak is detected, there's no longer enough time to acquire more properties to cover demand.

💸

Missed opportunity

Every seasonal peak without enough portfolio is a deal that goes to the competition.

The Solution

Demand forecasting focused on market seasonality

Analyzes deal history, the sector calendar, and market signals to anticipate when and where demand will rise, with enough lead time to react.

📅

Seasonality detection

Identifies recurring patterns by date or campaign that affect purchase and rental demand.

🏘

Area-level granularity

Predicts the peak at neighborhood or area level, not just city or region level.

🔔

Early alerts

Alerts acquisition and sales with enough lead time to strengthen portfolio and staffing.

🔄

Continuous learning

Adjusts the model with each new season, improving accuracy over time.

How It Works · The value, step by step

From deal history to timely acquisition

The solution watches the calendar and deal history to anticipate each peak with room to react.

Deal history→Calendar and signals→Detect seasonal pattern→Predict demand by area→Alert acquisition→Strengthen portfolio
1
Collects deal history by areaAnalyzes time series of sales and rentals, including past campaigns.
2
Cross-references calendar and context signalsIncorporates key sector dates that may affect demand.
3
Detects the seasonal patternIdentifies which areas tend to repeat peaks on specific dates.
4
Predicts demand by areaGenerates a granular forecast, area by area, with the expected volume for each peak.
5
Alerts acquisition and salesSends the forecast with enough lead time to strengthen portfolio and staffing in the key areas.
Integration

Connects with what you already use, frictionlessly

Relies on your deal history and the sector calendar to anticipate each peak.

Input

CRM and historical deals

Consumes sales and rental history by area and date from your real estate CRM.

Grovium Solution

Peak Radar

Models seasonality and predicts the expected volume by area.

Output

Acquisition and sales team

Sends alerts and portfolio reinforcement recommendations to the relevant teams.

Human oversight available at every critical step: the solution proposes, your team decides when it's needed.

Use Cases · The Business Value

Where timing is everything

Student and seasonal rentals

Anticipates demand peaks before the academic year or high season begins.

Developers with phased launches

Predicts when to launch each phase based on expected demand in the area.

Agencies operating across several areas

Tunes portfolio and staffing reinforcement area by area, not generically.

Problem → Solution

A rental manager that ran out of portfolio every September

A real example of the kind of situation this solution solves.

Before · the problem

At the start of every university year, several areas ran out of available rental apartments in the first weeks, while other areas in the same portfolio had low occupancy.

Forecasting was done at a general level, without distinguishing that the peak arrived earlier in some areas than in others. Acquiring new owners only kicked in once the shortage was already obvious.

After · with the solution

Peak Radar predicts, area by area, when the rental demand peak will hit, with enough weeks of lead time to strengthen acquisition.

Using the history of recent seasons and the academic calendar, the solution identifies which areas will pick up first and at what volume, making it possible to launch owner acquisition campaigns before the shortage happens.

Get ahead of the next real estate demand peak

We'll show you what Peak Radar's prediction would look like with the history of your own areas.