The most expensive word in furniture is maybe.
Six decades of craft — finally visible in the one room that decides every sale: the customer's own. This is the plan to abolish the Maybe Tax.
This proposal, in one slide.
Every high-ticket sale is taxed by "maybe."
Customers who can't see your furniture in their own room hesitate — then discount, defect to marketplaces, or return wrong guesses. We call it the Maybe Tax.
One digital catalogue, every channel.
Each piece becomes a true-scale 3D twin — powering AR on your website, an AI design studio, an iOS home experience, and your marketing itself. Built once. Owned by Lepakshi.
Three phases. Three separate decisions.
Catalogue first, AR second, AI + iOS third — each phase invoiced at go-live and approved only after the previous one is live and measured.
One afternoon. One selection.
Choose the first hundred products with us; twins begin arriving within weeks. The rest of this deck earns that afternoon.
The numbers live where the value does — per piece and per phase, from slide 10.
A sofa is never expensive because of the wood.
It's expensive because of the maybe. A family can love a piece in your showroom and still hesitate at home — where the photographs go quiet and their imagination is asked to do the catalogue's work. Maybe it won't fit. Maybe the walnut fights the flooring. Maybe we should look at a few more. Every maybe is a levy on the sale: paid in discounts surrendered to hesitation, in customers lost to marketplaces with better tools, in vans dispatched to collect wrong guesses.
We call it the Maybe Tax — the invisible charge every undecided customer levies on a high-ticket sale. The furniture was never the problem. The proof was.
People don't buy furniture. They buy the certainty of the after.
The Maybe Tax is collected in three places.
The browser who never arrives.
A family shortlists your sofa late at night with photographs, a measuring tape, and imagination. The photographs are beautiful; the maybe survives them. On a high-ticket purchase, an unanswered maybe doesn't negotiate — it leaves quietly, and buys wherever the tools are.
The craft that can't travel.
Lepakshi's advantage — joinery, finish, presence — is exactly what a flat image flattens. The AMARA walk-throughs at Shamshabad proved you already know experience sells. But an experience bound to one address cannot carry a pan-India ambition.
The guess that comes back.
When a customer guesses from photographs and guesses wrong, the piece returns — or stays and quietly sours. Every exchange is a van, a revisit, and a conversation nobody enjoys. True-to-scale placement moves the mistake to the screen, where it costs nothing.
You've already watched this work.
A photo goes in. A furnished room comes out.
The system reads the space and furnishes it — from a real, tagged catalogue, never from imagination. Every placed piece clicks straight through to its purchase page.
An iPhone walks the house. The house returns furnished.
A full home scan, populated end-to-end with catalogued pieces — the customer tours their own rooms, done in your furniture, before spending a rupee.
Any product, true to scale, in their room.
From the browser — no app, no download, no imagination required. The piece stands at its real dimensions, walkable from every angle.
What follows is not a concept. It is the productionization of what you watched run — powered by one asset we now build together.
One catalogue. Every channel. Owned by you.
We don't sell you three apps. Each product is captured once — as a faithful, true-scale digital twin — and then rendered everywhere. The apps are windows. The catalogue is the asset, and the asset is Lepakshi's.
On every product page
Customers place the piece in their room from the browser. The tape measure retires.
Their photo, your furniture
Rooms furnished from the real catalogue — every recommendation something you actually sell.
The whole home, done
A scanned house returns furnished in Lepakshi — the walkthrough, in every customer's pocket.
Content without cameras
Catalogue pages, campaigns, and store graphics rendered from the same twins — the IKEA method.
One twin. Twelve jobs. For years.
IKEA stopped photographing its catalogue.
Three-quarters of IKEA's imagery isn't photography — it's rendered from a bank of roughly 25,000 3D models. The same model serves web pages, print catalogues, and wall-sized store graphics; kitchens are localized per country without shipping a single unit; and each render keeps working for years.
You're not buying a 3D file per product. You're retiring a photoshoot per product — and hiring an employee that works every channel, for years, for a one-time fee.
The best furniture brands already run on this.
| Brand | What they built | Published outcome |
|---|---|---|
| IKEA | A 25,000-model 3D bank; CGI-first catalogue; AR placement app | 75% of all imagery rendered, reused from web to wall-sized store graphics for up to six years |
| Houzz | "View in My Room 3D" AR placement | Shoppers using it were 11× more likely to buy; two million users in year one · CNBC |
| Wayfair | "View in Room 3D" across the catalogue | 3D placement standard on 18M+ items — built to escape the photo-studio bottleneck |
| Shopify brands | 3D/AR on product pages | +94% conversion; returns down up to 40% · platform data |
| MADE.COM | 3D product viewers | +25% purchase likelihood vs flat images · retail case study |
Every one of them built this in-house. You don't have to.
Six months, on one page.
Work runs in parallel streams, so Lepakshi sees results early and often — not at the end.
The first hundred, in production
Selection session, tagging schema agreed, first batch of twins under way.
AR live on the website
Your bestsellers answer "will it fit?" in the customer's own room — Phase Two go-live.
The AI Design Studio opens
Room photo in, furnished room out — every piece clickable to purchase.
iOS on the App Store
The full-home experience, published under Lepakshi's name — with the catalogue still growing monthly.
Indicative rhythm — confirmed together at kick-off, and paced by how fast we can select and photograph, not by our capacity.
The Digital Catalogue
Everything else renders this. Each selected product becomes a faithful, true-scale 3D twin — modelled from your existing photography, with 3D scanning reserved for the intricate, carved Signature pieces where detail is the point.
- You choose the order. Bestsellers first, or the new collection — the sequence is entirely Lepakshi's call.
- Delivered in monthly batches — the catalogue grows in public, not behind a curtain.
- Every format included. Web-ready and iOS-AR-ready versions of every twin, tested on real devices.
- Owned by Lepakshi, from the first batch.
AR on Every Product Page
The AR viewer goes live on the website. Every twinned product can be placed in the customer's room at true scale, straight from the browser — launching on your first batches, so your bestsellers get the upgrade first.
- No app, no download — it lives on the product page, where the buying decision happens.
- Honest about size — every angle, every finish, at real dimensions.
- Managed by your team — collections, tags, and purchase links in Lepakshi's hands through an admin panel.
The AI Design Studio & iOS
On the web: a customer uploads a room photo and receives it furnished — from the real catalogue, every piece clickable to buy. On iOS: the full-home scan, returned furnished in Lepakshi, published under your name on the App Store.
- Recommends only what you sell — the AI selects from your tagged catalogue; it invents nothing.
- AI service on a simple meter — ₹37,500/month including 1,000 room generations; usage-billed beyond; launch credits included.
Per piece. Per phase. In the open.
No bundles, and no grand figure to swallow on day one. Each phase carries its own number, is invoiced when it's live, and has to earn the phase after it.
A twin costs a small fraction of the piece it sells — about ₹6 a day across three years of service. If it saves a single maybe in its lifetime, it has covered itself many times over. And it keeps selling, every day, for years.
All figures plus GST. Scope and pricing as presented stand for 15 days.
The cost per product falls as you grow.
The honest number — everything included: twins, platform, and the iOS app — spread across the catalogue. Fixed costs amortize, so every piece you add makes every piece cheaper.
All-in investment per product, everything included. By 2,000 pieces, keeping a product permanently visible in every customer's home costs about ₹6 a day over three years — roughly the chai you serve one customer. Illustrative; assumes ~1 in 8 pieces at the Signature tier.
15% of the platform cost + additional features and upgrades — iOS and ARKit updates, fixes, uptime, priority support. Year one is covered in the build. Plus GST.
₹37,500/month including 1,000 room generations · usage-billed beyond · launch credits included · scale up or down with demand. Plus GST.
Asked, and answered.
The evidence says emphatically yes — two million shoppers used Houzz's room-placement tool within a year of launch. And on your site there's no friction: it lives on the product page, one tap, nothing to install.
New pieces join at ₹4,450 per product (Signature pieces at ₹10,950), in the same monthly rhythm — the catalogue is designed to grow with you, never to be redone.
Your team does. Collections, seasonal features, and purchase links are managed from an admin panel. Lepakshi curates; we maintain the machinery underneath — that's what the care plan covers.
Then the next one doesn't start. Each phase is a separate decision, taken after the previous one is live and measured on your own numbers. Whatever you decide, the catalogue is yours.
Because the tax doesn't pause while you decide — every month is another season of 11 PM browsers choosing without proof. The 15-day window on this pricing isn't pressure; it's our production calendar, which fills in batches.
Choose the first hundred.
Every catalogue begins with a selection, and the selection is yours — the bestsellers, the new collection, or the pieces you're proudest of. From there, the rhythm takes over.