Furniture is a considered purchase. A shopper looking at a sofa wants to know if it fits the alcove, whether the linen marks easily, how the legs are finished and when it will arrive. They ask these questions before they spend several hundred euros, and if they can't get an answer they close the tab. In most furniture stores, most of those answers already live in your product pages. The problem is the shopper has to dig for them, or email you and wait.
An AI chatbot sits on your store and answers those questions in the moment, in the shopper's own words, using your catalog as the source. It behaves like a salesperson who knows every product, every dimension and every fabric, and never goes home at night.
This is a practical look at how that works on a furniture catalog. For the product overview, see Emporiqa for home and furniture stores.
The questions furniture shoppers ask
Furniture buyers have a predictable set of worries. The chatbot is built to handle them from your product data:
- Size and fit. "Will this sofa fit a 2.4 metre wall?" "What's the seat depth?" "Is the bookcase deep enough for vinyl records?" The chatbot reads the dimensions on each product and answers directly.
- Material and care. "Is the top solid oak or veneer?" "Does this velvet pet-proof?" "Can I wipe the dining table clean?" It pulls the material and care fields straight from the listing.
- Delivery and lead time. "When can you deliver to Lyon?" "Is this in stock or made to order?" The chatbot reflects what your catalog and shipping data say, so the shopper gets a straight answer.
- Comparison. "What's the difference between these two armchairs?" It lines up the specs side by side and explains the trade-off in plain language.
Because every answer comes from your catalog, the chatbot doesn't invent a measurement or a wood type. If a field is blank, it says it doesn't have that detail and offers to show the nearest match.
Visual search: upload a room, find the piece
Furniture is visual. People save photos of rooms they love and shop by feel, not by keyword. The chatbot includes visual search, so a shopper can upload a photo of their living room or an inspiration image and ask "what would suit this space?" The chatbot matches the style, colour and shape against your catalog and recommends pieces you stock.
This turns a vague intent into a product link. Instead of typing "mid-century walnut sideboard" and hoping your search index understands, the shopper shows the look and the chatbot does the matching. Every recommendation points to a product page on your store, so there's a clear path from inspiration to checkout.
Why the maths works on a high-AOV store
Furniture stores are low volume and high value. That's the perfect shape for pay-as-you-go pricing. Emporiqa costs $0.25 per conversation, with a $25 signup credit that covers about 100 conversations before you pay anything. There's no monthly minimum and no per-seat fee.
Think about a single dining set worth several hundred euros. If the chatbot recovers one sale that would otherwise have bounced over an unanswered size question, it has paid for hundreds of conversations. On a high-AOV vertical the cost per conversation is rounding-error money against one order, and the AI model costs are already included in that price. The default monthly cap is $59 and you can change it from your billing dashboard.
Works on your store platform
Setup doesn't need a developer. Install the official Emporiqa plugin or module, then click Connect in the admin. The chatbot reads your existing catalog, so your products, dimensions, materials and prices flow in without extra data entry. It runs on:
You can see the full pricing breakdown on the pricing page. The chatbot answers in 65+ languages, so a shopper browsing in French or German gets a reply in their own language while you manage everything in one place. It's GDPR-compliant, runs as an EU company, and does not train on your customer data.
What it does beyond answering questions
Answering size and material questions is the first job, but the chatbot also recommends products from your catalog, suggests alternatives when something is out of stock, handles common objections and walks the shopper toward checkout. Customer support, order tracking and human handoff bolt on when you want them, so a shopper who needs a person can be passed to your team with the full context.
Ready to try it on your own furniture catalog? Create a free Emporiqa account with $25 of signup credit, about 100 conversations, and no card required. You can also try the live demo first, which is set up as an electronics shop, but the behaviour is identical on a furniture catalog.
