Can an AVM include portfolio tracking?

Yes. A valuation can become part of a wider product where users monitor several properties and review changes over time.

Can property valuation software generate reports?

Yes. The application can format valuation inputs, assumptions and results into a downloadable appraisal document.

Does AI replace the underlying property data?

No. External property and market data provide the evidence. AI helps organize and explain that information inside the product experience.

Can users compare different market scenarios?

Yes. Scenario controls can keep assumptions visible while showing how a change in rates, growth or another input affects the projection.

Can the platform track more than one property?

Yes. Users can add valuations to a portfolio and return to a shared view instead of treating every estimate as a disconnected search.

Web case studyAnonymized client project

Property valuation, portfolio tracking and market scenarios in one product

PropTrader AVM is a full-stack property intelligence platform. A user can start with an address, add property details, review an automated valuation and then track the asset alongside portfolio and market information.

In short

PropTrader AVM is a full-stack AI property valuation platform for property investors. A user enters an address and property details, receives an automated valuation with comparable and market context, then tracks the asset in a portfolio dashboard. It also runs macroeconomic scenario simulations, shows property news and produces downloadable PDF appraisal reports, with Vertex AI explanations kept separate from external data.

Users: Property investors
Core features: Valuation, portfolio, scenarios, news
Reports: Downloadable PDF appraisals
Core stack: Next.js, Fastify, Supabase, Vertex AI

View the original project presentation (PDF)

01 / The problem

Why the AI property valuation platform was needed

Property investors often use separate sources for an estimated value, comparable listings, market news, portfolio performance and economic scenarios. That makes it difficult to understand why a valuation changed or how a broader market event could affect an asset.

The product needed to present a complex valuation workflow clearly while separating calculated data, external market information and AI-generated explanations.

02 / The build

How I approached the build

I built the product with Next.js, TypeScript and a Fastify backend. Supabase handles application data, while external property and market services provide valuation inputs and current context.

Vertex AI supports property intelligence and explanation features. The application also includes portfolio views, macroeconomic simulations, property news and downloadable appraisal reports.

03 / Capabilities

What the AI property valuation platform does

Address-to-valuation flow

Users move from a property address and specifications to a structured valuation result.

Comparable context

Relevant property and market inputs support the valuation instead of presenting a number alone.

Portfolio tracking

Multiple properties can be viewed together in a consistent wealth dashboard.

Scenario simulation

Users can explore how macroeconomic assumptions may affect an asset.

Property news

Market information is organized around the investor's property interests.

Appraisal reports

Valuation details can be compiled into a downloadable PDF report.

04 / Workflow

How it works, step by step

01
Identify the property
Start with an address and confirm the asset specifications.
02
Compile valuation inputs
Gather property, comparable and market context through the backend.
03
Present the property passport
Show the value range, supporting information and explanation.
04
Track and test scenarios
Add the property to a portfolio or explore a market assumption.

05 / Product screens

Product screens

Select a screen to inspect the interface, workflow and operational details more closely.

Product walkthrough

01 / 06

PropTrader AI — presentation, page 1

06 / What changed

The practical result

The valuation journey connects the property estimate with the context used to understand it.
Portfolio and scenario tools give the user a reason to return after the first valuation.
The backend keeps AI explanation separate from the external property and market data sources.

Common questions

Questions about building a similar AI property valuation platform

It combines property data, valuation logic and AI-assisted interpretation to help users explore an estimated value and the factors around it.

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Building a PropTech or valuation product?

I develop full-stack property tools that combine external data, clear user journeys and practical AI features.

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Property valuation, portfolio tracking and market scenarios in one product

Why the AI property valuation platform was needed

How I approached the build