5 Questions to Ask Every AI Vendor at High Point Market 2026

High Point Market runs April 25–29, and if the last few seasons are any guide, every booth with a screen will have the word "AI" somewhere on it. That's not a complaint — it's a heads-up. The technology is real, the use cases are legitimate, and some of what you'll see could genuinely change how your store operates. But so is the hype.

Regional furniture retailers are under real pressure right now. Traffic is competitive, consumer expectations are rising, and the window to differentiate on digital experience is not staying open forever. The retailers who make smart AI investments in 2026 will have a meaningful edge. The ones who sign the wrong contracts will spend the next 18 months untangling them.

Before you book a demo or shake a hand at High Point, here are five questions worth asking every AI vendor you meet.

1. "Does this actually know my inventory — or is it a generic chatbot?"

This is the most important question, and vendors will dodge it more than you'd expect. A lot of what gets called an "AI shopping assistant" is a general-purpose chatbot with a furniture skin on it. It can answer questions like "what's your return policy?" but it cannot tell a shopper that the sectional they're looking at comes in three configurations and only two are in stock — let alone explain which one fits a 14×18 living room.

The distinction matters enormously for furniture. Your catalog isn't flat. You have variants, dimensions, lead times, floor availability, and price complexity. An AI that doesn't connect to your actual product data in real time is not a shopping assistant — it's an FAQ widget.

2. "Can you show me a live demo on a furniture store — not a staged one?"

Demos are designed to impress. They feature curated questions, pre-loaded responses, and scenarios where everything works perfectly. That's fine for a first look, but it tells you almost nothing about real-world performance.

Ask the vendor to pull up a live implementation on an actual furniture retail site — ideally one you can name — and let you drive it. Type in a real question a furniture shopper would ask. "I'm looking for a sofa that seats four, fits in a smaller living room, and ships in under two weeks. What do you have?" See what happens. See how the AI handles a product that's out of stock. See what it does when it doesn't know the answer.

"If a vendor won't show you a live customer implementation, that's its own kind of answer."

Vendors with strong deployments are happy to show them. Vendors whose AI only shines in controlled conditions will steer you back to a polished walkthrough.

3. "What happens when the AI gets it wrong — and how often does that happen?"

Every AI system makes mistakes. What separates good implementations from dangerous ones is how they handle them. Does the system gracefully say "I'm not sure — let me connect you with someone who can help"? Or does it confidently give wrong information about pricing, availability, or delivery timelines?

In furniture retail, a wrong answer is expensive. If an AI tells a shopper a sectional will ship in two weeks and it actually takes eight, you're not just losing that sale — you're managing a customer service problem and a reputation hit.

Ask the vendor for their error rate benchmarks. Ask how the system handles questions outside its knowledge base. Ask how customers are escalated to human staff when needed and whether that handoff is seamless or disruptive. The best systems are transparent about their limits. The worst ones aren't aware they have any.

4. "Who owns the conversation data — and can I use it?"

Every shopper conversation your AI has is a goldmine of intent data. What products are people asking about? What questions repeat? Where do shoppers drop off? What objections come up most? This is information that should be making your merchandising, marketing, and sales training smarter over time.

Also ask how the vendor uses your data to train their models. Are your shopper conversations being used to improve a shared model that also serves your competitors? That's a question worth an explicit answer before you sign.

5. "What does implementation actually look like — and who does the work?"

This one catches a lot of retailers off guard. An AI solution that sounds turnkey in a demo can require months of IT work, custom API development, and ongoing manual curation to function in practice. Regional retailers with small or no in-house tech teams can easily get stuck.

Get specific: How long does implementation take for a store like yours? Who on their team is assigned to your account? What do you need to provide, and what format does it need to be in? What ongoing maintenance is required and who handles it?

The right AI partner for a regional retailer is one that does the heavy lifting — catalog ingestion, configuration, testing, QA — and doesn't hand you a developer spec sheet on day two. If the implementation answer involves a lot of "your team would need to..." for a store without a tech team, that's a mismatch worth catching before you sign.

One More Thing to Watch For

High Point will have vendors positioning AI as a replacement for your sales floor — a way to reduce headcount and cut costs. Be cautious of that framing. The best AI implementations in furniture retail don't replace the people; they make the people on your floor more effective by handling the early-stage browsing and question-answering that happens before a shopper ever walks through the door.

The goal isn't fewer sales associates. It's more high-quality shoppers walking in, already educated, already interested, and ready to have a real conversation. That's what turns a website into a pipeline.

If you're heading to High Point and want a straightforward conversation about what AI actually looks like for a regional retailer — no pitch deck, just a real discussion — I'm happy to connect while we're both there.