Pricing that tracks the street
Reads local comps, occupancy, and your own elasticity, then proposes street rates and existing-tenant increases facility by facility.
Pricing, collections, leads, reviews, move-ins. One model watches every facility you run and surfaces the next move, with the numbers that justify it. You stay the operator; it does the watching.
Threaded through every module
It is not a chatbot bolted onto a dashboard. The model sits under the product and shows up where the work already happens.
Reads local comps, occupancy, and your own elasticity, then proposes street rates and existing-tenant increases facility by facility.
Ranks every past-due account by bucket and balance, then drafts and runs the dunning sequence from day five — and stops it the moment the tenant pays.
Answers every Google review in your voice and weaves in the local phrases that move you up the map pack.
Scores inbound enquiries, answers calls and texts after hours, and books the tour before a competitor picks up.
Ask it anything about a facility and it answers from your live data, then offers the one action worth taking next.
What it reads
Principles
It learns from your facilities, your rate history, and your voice — not a generic model averaged across strangers.
Every suggestion shows the data behind it. You set which actions run on their own and which wait for a tap.
Rate changes, letters, and listings keep an audit trail and a one-tap undo. The AI proposes; you stay in command.
Connect a site and Facily AI starts reading it in minutes, no migration project, no data team. The first suggestion usually lands before the import finishes.