Room Redesign AI

For

Renters and new homeowners who want a designed space without the $2,000+ designer fee

Solves

Hiring an interior designer costs thousands and takes weeks, leaving most people to decorate by guesswork.

Delivers

Furnished 3D plan and shoppable product list with total cost

Built in

about 4 weeks of creation time, MVP in 5 days

Investment

$9,500 for the MVP, $36,500 for the full product

Run it

Inside your business, or as part of your offer to clients

For renters and new homeowners, turn a single room photo and a style description into a furnished 3D plan with shoppable product links.

1. Upload a room photo and select a style.
2. Analyse the room's dimensions, light, and existing furniture.
3. Generate a photorealistic render with new furniture.
4. Refine the design via text or voice commands.
5. Match suggested products to online retailers.
6. Export a shoppable list with prices and links.

What goes in, what comes out

The workflow

1. In
   Start with

   Room photo and a style description

2. 1

   Upload photo

3. 2

   Choose style

4. 3

   Analyse space

5. 4

   Generate render

6. 5

   Refine with voice or text

7. 6

   Review product list

8. 7

   Export shoppable list

9. Out
   Finish with

   Furnished 3D plan and shoppable product list with total cost

AI does the heavy lifting, people stay in charge

AI uses a vision model to parse room geometry and objects from the photo, a generative model to produce photorealistic renders, and an agent to find matching products from online stores. A human designer reviews the final render and product list to ensure taste and coherence before the user sees it.

What your team sees

Key screens: Upload, Style Select, Design Canvas. Start with a simple upload screen where the user adds a room photo and picks a style. Then show a style selection screen with preset options like 'warm minimalist'. The main screen is the design canvas: a large photorealistic render of the redesigned room, with a side panel listing suggested products with prices and links. Users can type or speak a refinement like 'make it lighter' and see the render update. A final screen shows the shoppable list and total cost.

Accounts and administration

User accounts, design versions, saved rooms, order history, and an audit trail of AI changes and human approvals.

Integrations and data access

Start with IKEA and Wayfair product APIs, then expand to other retailers. Also integrate with cloud storage for photos and payment processing.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will renters and new homeowners who want a designed space without the $2,000+ designer fee use it to solve "hiring an interior designer costs thousands and takes weeks, leaving most people to decorate by guesswork"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. A paid pilot with 20 renters measures the time from photo to final design and the number of product returns avoided.
4. Measure, then decide. Track 1. Average time from photo upload to final design (target under 30 minutes). 2. User satisfaction score on the design quality (target 4.5/5). Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. First cut: renters and new homeowners, one use case (single room redesign), first two modules (photo upload and render generation), manual review of every render by a designer before delivery.

After the MVP. After the paid pilot, automate the human review step with a quality model, add voice refinement, and integrate more retailers for product matching.

What the build depends on. Needs a vision model for room parsing, a generative model for interiors, and a product matching agent with retailer APIs.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing at $29 per room design or $19/month for unlimited redesigns, with affiliate commissions from retailers as a secondary stream.

Message to test

Redesign your room in minutes with AI, and buy the exact pieces from your screen.

Where to find buyers

Social media ads (Instagram, Pinterest), home improvement blogs, and partnerships with real estate agents.

Lead magnet

Offer a free 'first look' render for any room photo, no signup required.

The first 30 days

1. Week 1: Build the photo upload and style selection flow.
2. Week 2: Integrate a vision model for room analysis and a generative model for renders.
3. Week 3: Add product matching from IKEA and Wayfair APIs.
4. Week 4: Test with 10 users, refine the UI, and prepare the MVP for pilot.

Paid pilot

A paid pilot with 20 renters measures the time from photo to final design and the number of product returns avoided. Baseline is a typical designer engagement (2 weeks, $2,000). Decision: if 80% of users complete a design in under 30 minutes and rate the output as 'good' or better, proceed to full launch.

Success metrics

1. Average time from photo upload to final design (target under 30 minutes). 2. User satisfaction score on the design quality (target 4.5/5).

Retention and expansion

Subscription model keeps users engaged with unlimited redesigns, and affiliate commissions provide recurring revenue from repeat purchases.

Why clients would pick it

Every design session generates preference data and feedback, improving the AI's taste and making the output more personalised and harder to replicate.

Alternatives and positioning

People use human interior designers (expensive and slow) or furniture store apps with limited tools. This differs by being fast, affordable, and fully shoppable.

Main delivery costs

Main costs are cloud GPU inference for vision and generation models, plus human reviewer time for quality checks.

Users must own the photo rights. AI must not generate designs with unsafe or offensive content. Human review is mandatory before any design is shown. Limit the number of redesigns per day to prevent abuse. Audit trail tracks all AI actions and human approvals.