What Happens When a Furniture Store Gets an AI Sales Assistant

Buying furniture online has a trust problem. You are looking at a sofa on a screen, trying to imagine whether it fits your living room, whether the fabric works with everything else, whether the scale is right. The questions pile up — dimensions, materials, lead times, alternatives — and the one moment you would want a knowledgeable salesperson is usually the moment there is not one. It is 9pm. The showroom is closed. The customer has questions and no one to ask, so they close the tab.

That is the problem we set out to solve with Sellora AI, and Tach Luxure — a premium WooCommerce furniture retailer — is where we proved it works.

We started with the customer, not the code

Before writing anything, we did what we do on every build: research the actual bottleneck. We looked at how Tach Luxure's customers really behaved — where they hesitated, what they asked, where they dropped off. The pattern was clear. People were not short on products to look at; they were short on answers and confidence. They could not picture a piece in their own space, and they could not get a question answered at the moment it mattered.

That research shaped everything after it. We planned the build around the two things actually stopping the sale — visualization and unanswered questions — then built and tested it as real infrastructure, and shipped it into production where we could watch how customers actually used it. Research, plan, build, ship, iterate: the same four stages we run on every system, applied here to a furniture store.

What we built

Sellora AI lives inside the WooCommerce store and syncs directly with the real catalogue. It is not a generic chatbot bolted onto the storefront — it is a sales assistant aimed squarely at the friction we found in the research:

• A chat that knows the catalogue. It answers real customer questions about products, options, and availability, in plain conversation rather than a search box.
• Product visualization. Customers can see how a piece looks and explore variations, turning browsing into a confident decision before they add to cart.
• Automatic lead capture. Every interested shopper is captured with their context, so the store never loses a warm lead to a closed showroom.

Real authentication, a real database, a real WooCommerce integration — built once, built properly, and tested end to end before we called any of it done.

What it does in practice

We are deliberate about how we describe results. Sellora AI is live, running in production on a real store, handling real customer conversations daily, with a native WooCommerce sync. Those are the facts as they stand.

We are not going to dress them up with percentages we have not independently verified. When we have figures we are confident in, we will publish them — and not before. For now, the honest claim is the strong one: it is in production, doing the job, today.

The first proof point in a pattern

Tach Luxure is not a one-off. It is the first proof of an approach we intend to repeat: find a manual bottleneck inside a specific industry, research how it actually plays out, then build the AI system that removes it. Retail was first. Restaurants are next — Meno AI applies the same thinking to menus and ordering.

If you want to see it for yourself, Sellora AI is live on tachluxure.co.za, and you can read more about the product on our Sellora AI page.