Introduction
Portfolio Planner is a powerful planning environment within the Trebellar platform that allows teams to visualize, analyze, and plan for the future state of their real estate portfolio.
It brings together headcount data, attendance signals, seat supply, and planning forecasts into a single model. This allows organizations to understand how workforce demand and space supply interact across the portfolio and evaluate how potential changes may affect space needs in the future.
Teams can use Portfolio Planner to explore planning scenarios such as growth, consolidation, or changes to workplace strategy before making real estate decisions.
The Portfolio Planning Model
Portfolio Planner is built around a simple planning framework:
Supply vs. Demand over Time across the portfolio hierarchy.
This model helps organizations understand how workplace demand and space capacity evolve over time and how potential portfolio changes may impact future conditions.
Demand
Demand represents the number of people who require workspace within the portfolio.
Demand signals typically include:
Assigned and unassigned headcount
Attendance data (for example badge activity)
Headcount represents how many employees are associated with a location and may need access to workspace over time. Attendance reflects how many people are actually present in the space during a given period.
These signals help organizations understand both potential workspace demand and actual space usage, which are used together when evaluating capacity and planning assumptions.
Supply
Supply represents the workspace available to support demand.
Supply is typically measured through:
Seat inventory
Space allocations across locations
Supply values reflect both the physical seats available and how those seats are allocated within the portfolio.
Time
Portfolio Planner models supply and demand across time periods, allowing teams to evaluate how conditions change in the future.
The model incorporates both historical operational data and forward-looking forecasts.
Historical data (actuals)
Assigned headcount
Attendance data
Existing seat supply
Forecast data (future assumptions)
Headcount growth forecasts
Attendance or demand predictions
Planned changes to seat supply
Attendance forecasts may be generated using machine learning–based predictions or planning assumptions depending on how the model is configured.
Portfolio Hierarchy
Supply and demand are modeled across the organization’s portfolio hierarchy.
Typical levels include:
Portfolio
Campus or site
Building
Floor
This structure allows teams to analyze supply and demand at different levels of the portfolio and identify where imbalances may occur.
Scenario Planning
Portfolio Planner supports scenario modeling, allowing teams to test different portfolio strategies before making real estate decisions.
Examples include:
Adding a new building or campus
Removing floors or consolidating space
Adjusting seat allocations
Evaluating demand
Scenario planning also allows teams to evaluate how locations should be sized based on different demand assumptions. In addition to assigned headcount, models incorporate observed or forecasted attendance patterns to help determine appropriate seat supply and space requirements.
Teams can compare different scenarios before merging approved changes into the Plan of Record, which represents the current approved portfolio strategy.
Exploring a Portfolio Plan
When a portfolio plan is created or opened, supply and demand are displayed across the selected time horizon.
The view combines two primary elements that help teams understand how space needs and workforce demand evolve over time.
Timeline
The timeline displays supply and demand across future planning periods. This view makes it easy to see how workforce demand compares to available seat supply as conditions change over time.
Planning table
The planning table shows the detailed values behind the model, broken down by location and time period.
Together, these views help teams review the plan, identify potential imbalances, and adjust planning assumptions as needed.
AI-Assisted Analysis
Portfolio Planner includes AI capabilities that help teams analyze and work with portfolio models.
Users can interact with the AI assistant to ask questions about a plan, review current conditions, and explore potential improvements.
AI can assist with:
Reviewing the current state of a portfolio plan or scenario
Identifying potential supply and demand imbalances
Suggesting adjustments to improve the model
Helping evaluate or optimize planning scenarios
In addition to analysis, the AI assistant can help generate or apply changes to a plan or scenario based on user prompts, making it easier to explore different planning approaches and evaluate their impact.
What’s Next
The following guides explain how to get started with Portfolio Planner and work through the full planning workflow:
Learn how to access Portfolio Planner, view the plans available to you, and open an existing portfolio plan.
Learn how to create a new portfolio plan, configure scope and timeframe settings, and initialize supply and demand forecasts.
Learn how to share plans, manage access, and designate the approved Plan of Record.


