Case Study / AI PropTech SaaS

FloorPlanMind: Catch Floor Plan Problems Before You Sign

FloorPlanMind turns a floor plan image into a fast, buyer-friendly review of layout issues that photos never reveal. Floges built the SaaS to flag circulation, furniture fit, privacy, storage, and light problems in about 60 seconds.

Client: FloorPlanMind Industry: PropTech & AI Analysis Region: Global Delivery: SaaS Web Application
FloorPlanMind AI floor plan generator
50,000+
Floor Plans Analysed
60 Seconds
Full Analysis Turnaround
6 Languages
Report Localisation

When evaluating a property, buyers see polished listing photos and marketing brochures. What they do not see is whether the kitchen island blocks the dishwasher door, whether the main bedroom has no natural light, or whether the corridor eats up 12% of the floor area for no real purpose. These are not cosmetic issues. They are livability problems that show up on day one.

For off-plan buyers, overseas purchasers, and first-time buyers without experienced advisors, floor plan evaluation was guesswork. The product idea was simple: let buyers upload a plan and get the kind of review an experienced architect or buyer's agent would give in a live walkthrough.

1. Diagnose Signal · Locate · Orient · Root

Mapped every real-world floor plan problem that experienced buyers and agents look for: traffic flow bottlenecks, furniture clearance failures, sightline privacy issues, rooms with no natural light, and wasted corridor space. These became the AI's core evaluation criteria.

Trap Avoided: Building a generic AI that summarises floor plans rather than one trained to flag specific, actionable livability problems.
2. Architect Frame · Calibrate · Blueprint · Define

Scoped the MVP around a single upload-to-report flow: accept a PDF, JPG, PNG, or listing screenshot, analyze layout dimensions and spatial relationships, and return a structured report with a livability score, red flags, yellow flags, green lights, and agent questions. Credit-based billing, rather than a subscription, removed commitment friction for one-time buyers.

Trap Avoided: A monthly subscription model that would deter one-time property buyers who only need 1–3 reports total.
3. Forge Engineer · Synthesize · Construct · Execute

Built the image ingestion and AI analysis pipeline, the structured report generation system with a livability score, flagged issues by category, and a furniture fit matrix, plus credit-based billing with Stripe. Multi-language report output in English, Spanish, Portuguese, Chinese, German, and French shipped in the first build. Shareable links and downloadable PDFs were included at launch.

4. Deploy Activate · Commission · Ignite · Release

Launched with a free one-report preview tier that required no credit card, allowing buyers to validate the product before making any payment commitment. Paid tiers ranged from $4.99 for a single report to $34.99 for 15 reports, with non-expiring credits and a seven-day refund window.

5. Compound Evolve · Calibrate · Refine · Optimize

After launch, analysis accuracy was refined through real report feedback. Lifestyle-specific analysis was added for work-from-home suitability, child safety, and accessibility, expanding the product beyond standard buyer use cases. Volume grew to 50,000+ floor plans analyzed.

Circulation Analysis
Detects traffic flow bottlenecks, pinch points, and rooms that can only be reached through other rooms.
Furniture Fit Check
Determines whether standard furnishings fit with correct door swing and wardrobe clearance in each room.
Privacy Assessment
Identifies bedroom and living area sightline exposure from entrances, corridors, and adjacent spaces.
Natural Light Review
Flags rooms without windows and identifies spaces likely to be dark regardless of staging.
Storage & Space Efficiency
Evaluates built-in storage capacity and calculates wasted corridor space as a percentage of total area.
Livability Score & Report
0–100 livability score with red/yellow/green flags, agent questions, shareable link, and PDF in 6 languages.
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