Mamba One is a one-line widget that drops onto your product pages and lets shoppers preview any piece — sofas, beds, shelves, lamps — inside a photo of the room they're actually buying it for. No catalog feed. No SKU registration. We read what's already on the page.
Your shopper has the sofa in three tabs, a tape measure on the floor, and a partner asking if it’ll clash with the rug. They can’t picture it in their room, so they don’t click buy. If they do, one in four ships back — and you eat the return freight on a couch.
Three steps. No new tools for your team to learn. No catalog work for your engineers. The shopper does the upload; we do the render; you keep the sale.
Mamba One auto-attaches to every product page — Shopify, WooCommerce, Magento, Squarespace, custom. No theme edits, no catalog feed, no SKU registration. We read the product image and metadata that’s already on the page.
They snap or upload a photo of the actual room. The widget composites the product into their space with correct scale, perspective, and lighting. Their original photo stays on their device.
The friction that kills big-ticket conversions — “will it fit, will it clash, will I have to ship it back” — collapses into a single image they can show their partner. The argument is already won.
Pick a piece, upload a photo of any room, and watch it staged in seconds. This is the exact embed that will run on your product pages — not a video, not a mockup.
Drop your room photo in the next step — your originals stay untouched.
A preview that looks like a stock 3D render won’t move your conversion rate — it’ll just remind shoppers they’re still guessing. Here’s what we built so the render actually closes the sale.
Physically-aware lighting, scale, and perspective. No floating sofas, no cartoon outlines, no hallucinated SKU. If we can’t produce a render we’d ship on your site, we tell the shopper — we don’t fake it.
Median preview latency across the pilot network. Popular SKUs pre-cache and return in under a second.
Sofas, beds, shelves, tables, chairs, lamps, rugs, art — into living rooms, bedrooms, kitchens, offices, hallways. If it fits in a room, the widget can place it.
Room uploads are processed in-region, encrypted at rest, and deleted on a rolling window you control. Not sold, not used for model training. SOC 2 in progress.
See which SKUs got previewed, which previews converted, and the lift versus an un-previewed control cohort. Revenue attribution and A/B reporting ship on day one — not a Q3 roadmap item.
Shoppers flip between the bouclé, the linen, and the velvet inside the same rendered room — no re-upload, no reload. The widget picks up variants from your product page automatically.
Match the widget to your site in five CSS variables — typeface, accent color, radii, button shape, modal style. Shoppers see your store, not a third-party pop-up wearing our logo.
Bad lighting, weird angle, room we can’t parse? The widget says so and asks for another photo — it doesn’t serve a bad render with your logo next to it. Your brand never wears our mistakes.
Every metric below comes from production stores running Mamba One today. We update it the first Monday of each month.
Pick the install path that matches how much of your team’s time you want to spend. Either way, you’re live the same day, and you don’t pay for the install.
Tell the agent what CMS and theme you're running. It inspects your live site, finds your product page template, writes the exact embed, and shows you the diff before anything ships. You copy, paste, deploy — the whole thing fits in a coffee break.
Book a 25-minute call with one of our install engineers. They'll handle your CMS, your custom theme, your headless setup — whatever's in the way. No charge, no upsell, no “professional services” line item later.
The model is trained across 140k+ furniture SKUs and 80k+ real interior photos. It understands scale, shadow, and the difference between an armchair and an accent chair.
We launched on a Tuesday. By Friday, our sofa return rate had halved. I called finance to make sure it wasn’t a reporting bug.
Directional, vs. the store’s trailing 90-day baseline; early-access cohort.
Shoppers who previewed at least one item converted at higher basket sizes — driven by upholstered goods.
P50 across the cohort’s previews in the first 60 days. Steady across peak load.
“We stopped getting the email that starts with “this isn’t the color I expected.””
“Our customers send screenshots of their renders to their group chats. Free distribution.”
“Our merchandisers used to argue about staging. Now the room is the customer’s, so they just stopped.”
Composite field reports · drawn from early-access pilots. Figures are directional, not a guarantee. Named case studies posted as pilots opt in.
Same software. Same install. Same unlimited generations. The only choice is how often you’d like to be billed.
The average Mamba One customer pays back their full annual plan in six weeks — and most spend the rest of the year compounding the win.
“Annual paid for itself before our first invoice. We added three more brandsthe next quarter.”
Install Mamba One today. Be live by tomorrow. Watch your returns rate fall for the rest of the quarter. We’ll show you the numbers in writing.