Adaptive Brand Showrooms

For

Sales and marketing leads at furniture and electronics brands selling high-consideration goods online

Solves

Static product demos ignore who is visiting and what they need, so customers leave without a reason to buy.

Delivers

Personalised 3D showrooms with a voice agent that adapts to each visitor

Built in

about 3 weeks of creation time, MVP in 4 days

Investment

$7,500 for the MVP, $27,000 for the full product

Run it

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

For sales and marketing leads at furniture and electronics brands selling high-consideration goods online, turn product images, dimensions and brand guidelines into personalised 3D showrooms with a voice agent that adapts to each visitor.

1. Upload product images and dimensions in bulk.
2. Generate a 3D room from a brand brief.
3. Configure a voice agent with product knowledge.
4. Track visitor gaze and movement in session.
5. Pull related items forward based on interest.
6. Export session summaries and cart actions.

What goes in, what comes out

The workflow

1. In
   Start with

   Product images, dimensions and brand guidelines

2. 1

   Upload product assets

3. 2

   Set brand guidelines

4. 3

   Generate the room

5. 4

   Configure the voice agent

6. 5

   Review the experience

7. 6

   Publish a shareable link

8. 7

   Monitor live sessions

9. Out
   Finish with

   Personalised 3D showrooms with a voice agent that adapts to each visitor

AI does the heavy lifting, people stay in charge

Use generative models to build 3D scenes from product photos and brand briefs, and language models to power the voice agent. Keep product specifications in structured fields. Validate room dimensions and object placement through deterministic checks. A human reviewer confirms visual quality and agent accuracy before publishing.

What your team sees

Key screens: Product library, room builder, live session view. Use a thumbnail gallery for product uploads, a central room canvas for layout and styling, and a live session panel showing visitor behaviour and agent dialogue. Let operators monitor sessions in real time. Display active, ended and queued session states. Provide a session replay link with flagged interest moments. In this product, the first view is product library, followed by room builder and live session view.

Accounts and administration

Room ownership, session logs, agent script versions, approval states, visitor consent records, usage allowances, replay history and a rights record for supplied product assets.

Integrations and data access

E-commerce platforms for cart and checkout, CRM for lead capture, and video conferencing tools for booking calls. Start with a web link and manual export.

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

   4 days

   One buyer segment, one recurring use case; first modules: room generator and voice agent. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   5 days

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

4. 4

   Full product

   8 days

   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 sales and marketing leads at furniture and electronics brands selling high-consideration goods online use it to solve "static product demos ignore who is visiting and what they need, so customers leave without a reason to buy"?
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. Run a paid pilot with one furniture brand.
4. Measure, then decide. Track two measurable outcomes: session completion rate and cart add rate per visitor. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One buyer: sales leads at furniture brands. One use case: single product walkthrough in a browser. First two modules: room generator and voice agent. Manual review of generated rooms and agent answers before publishing.

After the MVP. Automate room regeneration based on real-time visitor behaviour, add cart and booking integrations, and scale to multi-product catalogues with self-service onboarding.

What the build depends on. Reliable 3D generation models, low-latency voice agent APIs, and a browser-based renderer that works on mobile devices.

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 USD 500 per month per brand for up to 10 active rooms, plus USD 0.50 per adaptive session. No setup fee.

Message to test

Give every customer their own product demo space, built by AI in seconds and guided by voice.

Where to find buyers

Furniture and electronics trade shows, LinkedIn outreach to sales and marketing leads, and partnerships with e-commerce platforms.

Lead magnet

A free single-product showroom demo for one month, with a live session review.

The first 30 days

1. Week 1: Build product upload and room generator.
2. Week 2: Integrate voice agent with pre-loaded questions.
3. Week 3: Test browser rendering and session tracking.
4. Week 4: Run a pilot with one brand and collect feedback.

Paid pilot

Run a paid pilot with one furniture brand. Baseline: current demo conversion rate. Decision: proceed if adaptive showrooms lift session completion or cart adds by 20 percent.

Success metrics

Two measurable outcomes: session completion rate and cart add rate per visitor.

Retention and expansion

Monthly subscription continues as brands add new products and rooms; adaptive session fees grow with usage, and behavioural data improves results over time.

Why clients would pick it

Each session generates behavioural data that improves room relevance and agent responses, making the system harder to replicate as the dataset grows.

Alternatives and positioning

Static 3D tours, pre-recorded videos and standard product pages. This differs by generating a unique, conversational experience per visitor without studio production.

Main delivery costs

Cloud GPU for 3D generation, voice agent inference, storage for room assets and session logs, and human review time.

Limit room generation to approved product assets, restrict agent answers to verified specifications, require human approval before publishing, and block collection of personal data beyond session behaviour. Must not generate rooms for unapproved products or make claims about product features.