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 don't see is whether the kitchen island blocks the dishwasher door, whether the main bedroom has no natural light, or whether the corridor eats 12% of the total floor area with no functional purpose. These aren't cosmetic issues — they're livability problems that emerge on day one of occupancy.

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 PDF, JPG, PNG, or listing screenshot — analyse layout dimensions and spatial relationships — return a structured report with livability score, red flags, yellow flags, green lights, and agent questions. Credit-based billing (not subscription) was chosen to remove 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 (livability score, flagged issues by category, furniture fit matrix), and credit-based billing with Stripe. Multi-language report output — English, Spanish, Portuguese, Chinese, German, French — shipped in the first build. Shareable links and downloadable PDFs included at launch.

4. Deploy Activate · Commission · Ignite · Release

Launched with a free 1-report preview tier requiring no credit card — allowing buyers to validate the product value before any payment commitment. Paid tiers from $4.99 (single report) to $34.99 (15 reports) with non-expiring credits and a 7-day refund window.

5. Compound Evolve · Calibrate · Refine · Optimize

Post-launch: analysis accuracy refined through real report feedback. Lifestyle-specific analysis added — work-from-home suitability, child safety flagging, and accessibility assessments — targeting buyer personas beyond standard purchasers. Volume grew to 50,000+ floor plans analysed.

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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