Dynamic Rental Pricing Engine
A pricing model trained on the property's leasing history, competitor positioning, and macro signals — produces weekly pricing recommendations at the unit level, with the underlying demand forecast and the competitor-comp context surfaced.
- Engagement
- 8–12 week build · ongoing weekly pricing cadence
- Built for
- Multifamily operators · Commercial property managers · Leasing teams
Multifamily and commercial rental pricing is set quarterly by the leasing team, anchored to comps the operator pulls from CoStar — and then sits until the next quarterly review. Demand moves weekly; pricing doesn't.
What this is
A demand-and-pricing layer for the commercial-multifamily and CRE operator. Three components:
- Demand forecasting. Per-unit and per-submarket demand model trained on leasing history. Daily-grain demand prediction; weekly-grain pricing-relevance.
- Competitor positioning. Per-comp tracking of competitor pricing and concession behavior. Surfaces the moments where the property's pricing is materially out of line with the comp set.
- Pricing recommendation. Weekly per-unit recommendation with documented assumptions. Operator-side UI for review and override.
How it's built
Statsmodels and Prophet for the time-series baseline, LightGBM for the non-linear demand modeling, CoStar API integration where the operator subscribes (or alternative comp-data sources). Recommendation surfaces through the operator's existing property-management system where integration permits.
What you get
- The demand-forecasting model per property.
- Weekly pricing recommendation pipeline.
- Operator review UI with override tracking.
- Quarterly model refresh and override-analysis retrospective.
- Per-submarket calibration as the portfolio expands.
Engagement is shape, not list.
Length and price are functions of the data and the destination. The shape below is the typical engagement.
- Length
- 8–12 week build · ongoing weekly pricing cadence
- Lead
- Bogdan
- Cadence
- Async, weekly
- Bar
- Production
Scoped during the discovery call against the actual data and the operation it integrates with.
Principal engineer. Architecture and most code ships through one keyboard.
Written updates between, calls when the decision needs the room.
Async correctness, capacity under burst, observability at every boundary.
Products this composes with.
Same suite, or vertical-specialized versions in another.
What buyers ask about this one.
How is this different from AppFolio or other multifamily software?
AppFolio handles transactional rental ops. The pricing layer they offer is rule-based and quarterly-cadence. This product is a forecasting model — daily demand prediction, weekly pricing recommendation, with the operator finalizing. The two integrate: AppFolio for transactional ops, this for the pricing layer.
What about Beyond Pricing or AirDNA?
Those are short-term-rental products. We deliberately don't play in STR — the market is crowded and the data shape is different (high-frequency turnover, channel optimization). Our focus is commercial multifamily and longer-term commercial leases where the pricing cadence is weekly, not hourly.
What data does the model need?
Three years of leasing history (signed lease values, vacancy patterns, concession data), competitor comps (CoStar feed or alternative), macro signals (regional employment, rent CPI), and ideally any seasonality data the property has. Where the property is new construction, the model leans on regional priors with documented uncertainty.
Does the operator have to follow the recommendations?
No — the operator finalizes. The model produces the recommendation and the reasoning; the leasing team can accept, override, or run a side-by-side experiment. We track override decisions and surface where overrides outperformed and where they underperformed.
Pricing?
Scoped to portfolio scale and pricing-cadence complexity. Discovery call covers both.
If the deliverable matches the gap, the next step is one call.
We'll scope length and price against your data and the operation it integrates with. No retainer, no fishing.
Bogdan and team · async-first · OP—2026