Remi — AI Pricing
Your virtual property manager assistant for rent pricing.
Remi is the analyst your team would hire if they could. She pulls your rent roll from AppFolio, reads market comps, factors in vacancy, property class, and a stack of leading indicators, then surfaces unit types that look mispriced — by how much, with what confidence, and why.
Meet Remi
Your virtual pricing analyst — always current, always reasoning out loud.
How it works
Three steps from market signal to a confident pricing call.
Remi reads the market
Each week Remi pulls your rent roll from AppFolio, refreshes RentCast comps, and cross-references vacancy, class, and employment trends. The pieces of the picture come together without anyone touching a spreadsheet.
Curated competitors you actually rent against weight the analysis more than generic AVM comps.
Recommendations surface weekly
Unit types that look mispriced get a recommendation card — current rent, suggested rent, the dollar delta, the confidence score, and the signals driving it. Strong signals stand out; weak ones stay quiet.
A short reasoning paragraph explains the why so you walk into a leasing meeting ready to defend the move.
You decide, Remi remembers
Accept, modify, or dismiss the suggestion. Tell Remi why — the pool is closed, a competitor just dropped rent, a unit type is on hold — and she folds that context into next week's recommendations.
The memory grows with you. Remi sharpens over time instead of starting from zero every cycle.
See it in action
What you’ll see inside the tool.
A unit-type recommendation
Current rent, suggested rent, the delta — plus the signals and the reasoning behind it.
Maple Court · 2BR
14 units · last reviewed 7 days ago
Current
$1,425
Suggested
$1,510
Delta per unit / month
+$85
Confidence
High · 0.82
Signal breakdown
Remi suggests
Two of your three curated comps moved up $50–$110 over the last 60 days. With vacancy under 4% and three units turning in June, a $85 lift looks safe — and keeps you a hair below the leader on Maple Ave.
Your property dashboard
Every property, every open recommendation — sortable, scannable, and a tap from a chat with Remi.
Properties
Sort: open recs ▾
Maple Court
38 units
$1,425
Pine Ridge
24 units
$1,180
Cedar Lane
16 units
$1,650
Oakhill Run
42 units
$1,310
Birch Park
20 units
$1,495
Willow Crest
30 units
$1,210
Remi
This week
Open recs
9
Potential lift
+$2,140/mo
“Why is Cedar Lane flagged hot?”
“Show me Maple Court memory.”
Why you’ll use it
Pricing shouldn’t be guesswork.
Most rent reviews come down to a quick scroll through a comp report and a gut call. Remi keeps the gut and adds the math — your curated comps, your vacancy, your memory of what makes each property different — so you walk into the call ready.
Recommendations come to you
Every Monday Remi has reviewed every unit type. You start the week with a focused list, not a blank spreadsheet.
Reasoning you can defend
Each suggestion includes the signals that drove it and a short paragraph explaining the logic. No black box.
Confidence, not a single number
Strong signals get a high confidence score. Weak ones stay quiet. You spend your time where the data is clearest.
Memory that grows with you
Tell Remi about a closed amenity, a competitor's drop, or a unit type on hold. She folds it into next week's pass.
Curated comps over generic AVM
Add the properties you actually rent against. Their rents weight the analysis far more than a blanket market average.
Who uses it
Built for the people closest to the rent roll.
Property Managers
The people who walk the property, talk to leasing, and own the renewal calendar. Remi turns the weekly pricing review from a half-hour scroll through comp reports into a focused list of recommendations to react to.
- Open the dashboard, see this week's recommendations at a glance
- Review the reasoning before accepting, modifying, or dismissing
- Add property memory so Remi factors in what makes your sites different
- Chat with Remi when a recommendation needs more context
- Track which units have been priced this cycle without a side spreadsheet
Operations Leads
The folks who tune the pricing engine itself. Operations Leads weight the signals, set the confidence thresholds, and curate the competitor sets so the recommendations the team gets each week reflect the market you actually compete in.
- Tune signal weights — vacancy, spread, class — per portfolio
- Curate competitor sets so AVM noise stops leaking into recs
- Set confidence thresholds and dead zones so the list stays focused
- Run the AppFolio and RentCast syncs and verify the data looks right
- Review chat sessions to see what questions the team is asking Remi
Review recommendations between meetings.
Remi’s recommendation cards, signals, reasoning, and chat all work on a phone browser. Walk between two showings, pull up the open list, accept the obvious ones, and flag the rest for a deeper look back at the office.