Unit Selector Companies for Developers (2026)
Quick answer: Decide where inventory truth lives before choosing a selector. If the answer is a spreadsheet, the selector will be wrong within weeks regardless of vendor. If it is a system of record with permissions and states that match how your sales team works, the selector becomes a display problem, which is much easier to solve well.
Developers buy unit selectors to stop a specific and expensive problem: two buyers being told the same apartment is available.
That problem is not caused by the selector and cannot be fixed by it. It is caused by inventory truth living in more than one place, and it gets worse as a sales team grows, as releases multiply and as brokers are added to the process.
So the useful comparison starts with the system rather than the interface.
How this list was put together
Options re-sorted against a developer's constraints. Inventory platforms are included alongside presentation vendors because the two are routinely compared as one purchase.
| Criterion | What we looked for |
|---|---|
| Source of truth | Whether it can be the authoritative record. |
| State coverage | Whether it models holds, reservations and releases. |
| Pricing evolution | Whether rises, bands and incentives are handled. |
| Permissions | Who can change what, and whether it is recorded. |
| Presentation quality | Whether the buyer-facing output meets marketing standards. |
Editorial note: Rendimension publishes this guide and appears on it. We place an inventory platform first because a system of record and a presentation layer are not substitutes, and we list ourselves in the specific niche we serve rather than at the top. Every other entry is an independent company we do not control, identified through public research.
1. MRI Software
For a developer the first question is where inventory truth will live, and a condo sales platform answers it properly with releases, holds, reservations and contract stages modelled rather than approximated.
Worth adopting when the sales operation has a team, a pipeline and multiple releases, which is the point at which spreadsheet inventory starts producing errors that cost real money.
Where it stops: the buyer-facing output is functional. A development competing on design and positioning will want a presentation layer produced separately and connected to it.
Listed first because a system and a presentation layer are not competing purchases, and putting a rival production vendor above ourselves would be dishonest in the other direction.
2. Rendimension
Second, in the niche that matches this buyer: the buyer-facing selector and availability map, produced alongside the plans and renderings it presents and connected to the developer's system of record.
The developer problem this addresses is specific. Inventory platforms produce a display because they must, and it looks like a database with a diagram. For a building competing on design, that display sits inside a marketing site built to a completely different standard, and buyers notice the seam.
The presentation layer also has to do work the inventory system has no view on: making the view from a specific unit legible, showing how two layouts differ, explaining why floor eighteen costs more than floor twelve. That is visualization rather than data.
We produce that layer and connect it to whichever system owns the truth, rather than asking a developer to abandon a platform their sales operation depends on.
Declared terms rather than claims: first visuals in 48 to 72 hours, plan sets in 5 to 7 days, and reasonable revisions included at no extra charge. We do not raise capital, we do not obtain approvals and we do not guarantee them, and we do not sell units or operate a sales CRM.
3. Sell.do
Relevant to developers because pricing management is treated as a first class problem rather than a field on a record.
For a development where prices rise through releases and vary by floor band, that distinction determines whether the public selector can be trusted or has to be manually checked before every conversation.
4. RE.Platform
Addresses phased releases, pricing evolution and construction progress affecting delivery timelines, which together describe most of what makes a long sell out difficult to manage.
Particularly relevant for developers whose projects run several years, where all three variables change and a system that models only current state loses the history that reporting depends on.
5. Property xRM
The granular state model, covering vacant, blocked and soon-to-be available, is closer to how sales teams actually work than a binary available and sold.
Worth evaluating specifically on whether the states it supports match the ones your team uses, because a mismatch pushes the real picture back into a spreadsheet.
6. Blindersoe
Connects construction progress to inventory and buyer-facing content, which addresses a gap most developers handle manually through periodic update emails.
For buildings sold years before completion, keeping buyers informed about progress is a retention exercise as much as a marketing one, and joining it to the inventory system is sensible.
7. YourNextHome
Focused inventory management for residential developers without the overhead of an enterprise platform, which suits mid sized projects that need structure rather than scale.
8. Zoho CRM
The pragmatic option for developers with existing CRM investment or internal capability, where a well configured general system frequently outperforms a specialised one nobody has set up properly.
The cost is configuration effort and designing the data model yourself rather than inheriting real estate conventions.
Where double bookings actually come from
Worth tracing precisely, because the fix is structural rather than technological.
A sales agent grants a verbal hold on a unit to a buyer who is deciding. The hold is not in the system because the system has no state for it, so it lives in the agent's notes and a shared spreadsheet.
A second agent, or a broker, sees the unit as available in the system and offers it. Both buyers now believe they have it.
The failure was not the selector showing stale data. It was that the sales process has a state the system does not model, which forces a parallel record, which is by definition unreliable.
The fix is to model the states the team actually uses, including the informal ones, so nothing has to be tracked outside the system. That is a systems decision and a management decision, and no interface solves it.
Release management, which selectors handle badly
Pre-construction inventory is released in phases for good commercial reasons: price escalation, demand management, and avoiding the appearance of a stalled building.
That creates a category of unit that exists but is not for sale, and selectors typically have nowhere to put it. The common approaches each send a different message.
Omit unreleased units. The building looks smaller than it is, and a buyer who returns after a release sees inventory appear from nowhere.
Show them as unavailable. Honest, and it makes the building look more sold than it is, which cuts both ways.
Show them as coming soon with a register interest option. Usually the strongest, because it captures demand for future phases and explains the state accurately.
The choice is commercial rather than technical and should be made deliberately rather than inherited from a tool default.
Broker and preview allocations
A wrinkle most developers encounter and few selectors handle.
Units are frequently made available to brokers, to a preview list or to a friends and family group before general release. The public selector must not show those as available, and the internal view must.
Handling this requires either audience-aware views or a discipline about what enters the public dataset. Doing it by manual export is how errors enter, particularly under launch pressure when exports happen at speed.
Wiring the two layers together
For developers who conclude they need a system of record and a produced presentation layer, which is most developments competing on design, the connection deserves deliberate design.
Decide the update direction. The system pushes to the presentation layer, never the reverse, so there is one authoritative source.
Decide the frequency. Real time is not always necessary. Hourly or even daily is frequently sufficient and dramatically simpler, provided the sales team knows the lag.
Decide the failure behaviour. If the connection breaks, the presentation layer should show stale data with a timestamp or fall back to enquiry rather than showing nothing or, worse, showing confidently wrong data.
Decide what is public. Not every field in the inventory system belongs on a public page, and the mapping should be explicit rather than everything by default.
Where developer projects go wrong
Buying a selector while inventory lives in spreadsheets. Guarantees the problem the selector was bought to solve.
Modelling two states when the team uses six. Forces a parallel record and produces double bookings.
Static price lists. Wrong within a quarter in any development with release escalation.
No plan for unreleased inventory. Produces either a building that looks small or inventory appearing from nowhere.
Accepting platform default presentation on a design-led development. Creates a visible seam in an otherwise considered marketing programme.
Manual export as the integration. Works until launch week, which is exactly when it fails.
One boundary worth stating
Unit selectors support a sales process. They do not sell units, they do not obtain approvals and no vendor obtains approvals or can guarantee them, and they do not replace either a sales team or a system of record.
What they do, when the inventory underneath them is sound, is let a buyer answer their own questions at the moment they are most engaged. When the inventory is not sound, they publish the disorganisation faster and more widely than a phone call would have.
A sequence that works
For a developer building this properly, the order matters because each step depends on the previous one.
First, decide where inventory truth lives and confirm the states it supports match how the sales team actually works. This is a management decision and it should precede any vendor conversation.
Second, fix the unit schedule and the type list, because everything visual depends on it and a type added later touches the plans, the renderings and the selector.
Third, produce the marketing floor plans and the renderings the selector will present, since those are the content and the selector is the frame.
Fourth, build the presentation layer on settled content and wire it to the system.
Last, define the update mechanism, the failure behaviour and the owner, in writing.
Running these in parallel to compress a launch timeline is the standard approach and it produces a selector that displays inconsistent content from an inventory model nobody agreed on.
What to establish before talking to vendors
Six answers turn a vague requirement into something a vendor can price accurately.
Where inventory truth lives today, honestly, including any spreadsheets. Which states the sales team uses, including informal holds. How pricing changes and how often. Whether releases are phased and how unreleased units should appear. Who is permitted to change availability. And what happens to the public display if the connection to the system fails.
That last question is the one nobody asks and the one that determines whether a launch week outage is an inconvenience or an embarrassment.
Budget shape
The cost splits across three lines that are frequently priced by different suppliers and rarely added up together.
The inventory system is usually a subscription scaled by users or units, and it is a sales operations cost rather than a marketing one, which is why it sometimes sits outside the marketing budget entirely.
The presentation layer is a production cost scaled by unit type count and design ambition, and it is where a design-led development spends to avoid the platform default look.
The integration is the line most often omitted, and it varies from trivial where an API exists to substantial where the system of record is proprietary or the data has to be transformed.
Developers who price only the first two are surprised by the third, and it arrives at the point in the schedule where there is least room to absorb it.
Want the buyer-facing layer produced properly and wired to the system that owns your inventory? request a quote.
Frequently asked questions
What causes double bookings?
Inventory truth living in more than one place. A verbal hold the system cannot record goes into a spreadsheet, a second agent sees the unit as available, and two buyers are told they have it. The fix is modelling the states your team actually uses, including informal ones.
How should unreleased units appear?
It is a commercial decision. Omitting them makes the building look smaller, showing them unavailable makes it look more sold, and showing them as coming soon with a register interest option usually performs best because it captures demand for future phases.
Does the connection between systems need to be real time?
Frequently not. Hourly or daily updates are much simpler and sufficient for most developments, provided the sales team knows the lag and the presentation layer shows a timestamp or falls back to enquiry when the connection fails.
Can a CRM platform provide the buyer-facing selector?
Yes, and the output is usually functional rather than designed. For a development competing on design that creates a visible seam in the marketing, which is why many projects combine a system of record with a separately produced presentation layer.
What about broker and preview allocations?
The public selector must not show them as available while the internal view must. That requires audience-aware views or strict discipline about what enters the public dataset, and manual export under launch pressure is where errors enter.