Start with an address
Address, property use and size establish the first comparable location profile.
Forecast / Forward cost intelligence
Current cost is only the starting point.
See what changes next.
ExpenseIntel is designed to separate what is known today from what is modeled tomorrow. The goal is not a single magic number; it is a readable forward view with assumptions, uncertainty and the expense drivers that matter most.
01 / Model sequence
Built around the decision, not the dashboard.
The forecasting layer follows a disciplined sequence so the user can see where a number came from and where uncertainty enters the model.
Build the cost stack
Map the relevant utility, tax, insurance and recurring expense layers to the property.
Make costs comparable
Convert disparate charges into annual expense and cost per square foot.
Model future movement
Apply known rate changes, historical movement, seasonality and scenario assumptions.
Expose the drivers
Show what is pushing the forecast up or down and how confident the model is.
02 / Forward view
Not just where costs were. Where they are headed.
The visual distinction between modeled history and forecast is deliberate. ExpenseIntel should never blur observed information and forward estimates into one opaque line.
Illustrative expense trajectory · 36-month viewPreview
Current modeled annual expense
$214,600Year 1 → $226,100 · Year 3 → $239,800Monthly trajectoryObserved / modeled ■ Forecast ▧
Model confidence
78%Illustrative
Known tariff movement
Highest-confidence forward input when a published utility rate change exists.
Seasonality
Weather-sensitive costs are separated from underlying price movement.
Scenario uncertainty
Lower-confidence layers are shown as ranges rather than false precision.
03 / Assumptions
A forecast should be inspectable.
Users should be able to understand which inputs are known, which are modeled and which are still missing. That is more useful than hiding uncertainty behind an AI score.
Illustrative annual cost path
Current → 12 months → 36 months
NOW12 MO24 MO36 MO
Illustrative confidence
78 / 100High confidence
Published tariffs, current tax records, directly observable location facts.
Medium confidence
Modeled usage, weather normalization, known historical price behavior.
Lower confidence
Future insurance pressure, service upgrades and uncertain infrastructure-related costs.
The current public site is an illustrative product preview, not a live forecasting service. Production ExpenseIntel should label live sources, timestamps, assumptions and confidence for every material cost layer.
Next step