Live demo · Monthly parking

See Propty work throughout a parking manager’s actual day.

No video. No booking required. Three live experiences below: ask the AI what a tenant or customer would ask, calculate your ROI, and see how predictions work.

1. Ask the tenant inquiry AI

Type a question your tenant might ask. The AI answers as a sample property, only from that property's rate sheet and policies, the same way it answers from yours. Nothing is booked, sent or saved, and the chat does not take contact details.

Try one of these:

2. Model six value streams

Drag one portfolio-size slider, choose a state, and inspect every modeled assumption.

Loading the ROI model.

3. See how Propty's Pricing Engine reasons

An illustrative example for a typical space. It uses no real facility's data, so it shows no figures. On your account, each recommendation is worked out from your own rates and occupancy.

Illustrative example · a typical space
What the engine weighs before it suggests a rate:
Market rates
Rates for similar spaces from market data when it is available, otherwise a published industry baseline for that size.
Occupancy pressure
High occupancy supports a higher rate; low occupancy argues for holding or lowering it.
Seasonality
How demand for monthly parking usually moves at this time of year.
Time since the last change
Rates that have not moved in a long time are reviewed against the market.
Guardrails
Each suggestion stays within a set range of the current rate, so no customer sees a sudden jump.

Ready to see this on your actual data?

Use your own data and operating assumptions in a guided review.