How Furniture Retailers Can Thrive in the Agentic Era
The digital landscape for home furnishings is shifting beneath our feet, moving from static websites to dynamic, AI-driven ecosystems. To help our members navigate this transition, we recently sat down with three industry experts to discuss the practical application of “Agentic AI” in furniture retail.
The insights and strategies shared in this post are drawn from the collective expertise of Alyshah Walji, Director of Retail Partnerships at Lightspeed; Cole Shipley, Sr. Product & UX Manager at Blueport Commerce; and Douglas Estremadoyro, Founder of Integrative Change Advisory. Together, they outline how retailers can optimize their digital presence to remain discoverable and competitive as AI begins to shop on behalf of the consumer.
The home furnishings industry is in the midst of a dramatic transformation. Not long ago, a store’s website served primarily as an online catalog—a place for customers to browse pictures, read brief descriptions, and perhaps find basic pricing information before heading into the physical showroom. But with the rise of advanced AI, especially agentic AI, today’s digital storefronts play a radically different and far more impactful role.
Increasingly, artificial intelligence isn’t just helping with behind-the-scenes recommendations or powering simple chatbots. It’s profoundly redefining how consumers discover, evaluate, and engage with furniture brands—often long before they ever step foot in a store. The new challenge (and opportunity) for retailers is to adapt their entire digital presence to both satisfy evolving customer expectations and perform optimally in a world where AI shapes the shopping journey at every turn.
The Rise of Agentic AI: What It Means for Retail
Agentic AI refers to intelligent software agents that act on behalf of users, not just returning lists of links, but interpreting natural language, narrowing options, comparing products, and even taking shopping actions. Today’s savvy consumers might be using ChatGPT, Gemini, or other conversational AI platforms to research and find their next sofa, sectional, or dining table—not just by style or price, but with highly detailed, specific requirements.
As Douglas Estremadoyro explains, “People, instead of browsing through dozens of pieces, comparing specs, and narrowing down the options manually, are interacting with AI tools using natural language… For example, ‘What’s the best sectional for a small apartment with pets under $1200?’ That’s how people are going to search using AI.”
Agentic AI interprets free-form customer queries, cross-references them with massive product catalogs, and returns tailored recommendations suited to exact needs and lifestyles. This means your website and product data must not only be accessible—it must be intelligible, comprehensive, and trustworthy in ways that both AI agents and human shoppers can understand.
Why Digital Discoverability Matters More Than Ever
A key shift for furniture retailers is recognizing just how many customer journeys now begin online—even when the final purchase occurs in the store. As Alicia Waljie observes, “We find that nearly half of furniture purchases today happen online. Customers increasingly expect personalized recommendations, conversational shopping, and seamless online store journeys. But it’s not replacing the physical store; it’s really reshaping how customers discover, evaluate, and narrow down options before entering the store.”
Customers want to connect with brands, research options, and understand what’s available in their vicinity before making the effort to visit in person. “It’s really about finding those new customers, those that wouldn’t have come to your store, and driving them to your store to have that [in-person] experience rather than just purely optimizing for the sale experience online,” Alicia Waljie adds.
A website is no longer just a digital brochure; it is the first, and often most important, touchpoint for new customers. Whether you sell luxury, custom, or entry-level furniture, your digital readiness directly determines whether AI agents (and, by extension, shoppers) will ever find you.
The Foundation: Making Your Retail Website AI-Ready
So, what does it mean to have an “AI-ready” website in today’s environment? It all starts with your product data—how it’s structured, how complete it is, and how easily both algorithms and customers can understand it.
Douglas Estremadoyro highlights the seismic change: “Your information needs to respond [to customer needs]. It needs to explain who the product is for, how it’s going to be used, what problem it’s going to solve, and that’s going to consistently outperform your competition if you try to respond to those needs.”
Here are the critical elements of an AI-ready furniture retail website:
Comprehensive Structured Data
As Cole Shipley points out, “This is the critical foundation to every agentic AI experience right now… AI is looking at all the attributes a customer is entering and using that information to generate product recommendations. If your product doesn’t have dimensions, style specifics, or really descriptive content, AI will skip it and move on to the next product. So having data completeness is critical.”
At a minimum, ensure you provide:
Accurate dimensions on every product
Style fields (e.g., “mid-century modern,” “farmhouse,” “contemporary”)
Rich, descriptive language that goes beyond keyword stuffing and speaks naturally about use cases, rooms, design inspiration, and who the piece might suit
Technical specifications (materials, finishes, fabric types, weight limits, etc.)
Pricing and real-time availability (ideally with fulfillment timelines, e.g., “can deliver within two weeks”)
Location-based inventory (“Available at our downtown showroom,” etc.)
Alyshah Walji echoes this sentiment: “You want to make sure you have good catalog information. You want to make sure that you have real-time availability, good product content and descriptions, and all of this metadata exists so it can be searched and found, and so you can present that to your customers.”
Plain Language and Context
Agentic AI favors clarity and context. Descriptions written for humans, not robots, outperform those filled with jargon or bare specs. “The context that AI needs is also really helpful for a customer… having that data completeness is important. Having all the technical specs is also really important,” Cole Shipley reiterates.
Moreover, contextual information helps both humans and machines. For example: “Perfect for families with pets, this stain-resistant sectional in a soft charcoal performance fabric comfortably seats five, with removable, machine-washable cushion covers and durable oak legs.” This kind of descriptor complements the basics, like “L-shaped, 108 inch by 72 inch sectional in gray fabric.”
Omnichannel Inventory and Experience
Keep in mind that many customers still value in-store shopping. As Alyshah Walji notes, “Over 50% of consumers still prefer shopping furniture in person… They want to see it, experience it, touch it.”
Therefore, your website should not only “romance” the product, but also help customers know:
– Which showroom(s) carry the item
– Real-time stock status at each location
– What the in-store experience feels like (“Visit our design bar for on-site material samples and inspiration”)
Site Performance and User Experience: Not Just for SEO
While robust data is the backbone, the technical performance and usability of your site are just as critical. Agentic AI and search engines both evaluate whether your site is a trustworthy place to send users.
Douglas Estremadoyro points out, “If your website is cluttered, inconsistent, hard to navigate, it’s going to create friction no matter what. AI is going to have a harder time interpreting your content, and customers are going to have a harder time making decisions… A well-structured site, easy to navigate, is ahead of the game.”
Key web performance elements include:
– Fast loading times (especially on mobile)
– Clear, readable design with semantic HTML for accessibility
– Up-to-date, accurate pricing and inventory
– Easy-to-use search and filter options
– Seamless cart and checkout flows (if relevant)
– Prominent contact and support options
– Accessibility standards, such as alt text for images
As Cole Shipley explains, “AI assistance and agents are increasingly considering the UX and design of a website. So it’s not just looking at product data behind the scenes, but whether the shopper will actually succeed on your site. And these are things that Google already looks at for SEO.”
Trust and Confidence: The Differentiators for High-Consideration Purchases
Unlike buying books or clothes online, furniture is a high-consideration purchase; it’s expensive and highly personal. Winning customer trust is non-negotiable. Much of what builds customer trust also builds trust in AI agents.
Douglas Estremadoyro notes, “At the end of the day, you want to gain that confidence through transparency and completeness. Customers want to quickly understand what they’re buying, how it fits into their space, and what to expect from the purchase. So if you have good, detailed product information, well-structured, high-quality visuals, real customer reviews, real frequently asked questions, and clear policies, experience is going to be an advantage.”
Other trust builders include:
- Prominent display of return and delivery policies
- Authentic, recent customer reviews (ideally with photos)
- High-quality, multi-angle product images and videos
- Real-time chat or easy access to customer support
- Social proof (Instagram images, press mentions)
- FAQ sections that address shipping, assembly, returns, and warranties
As Cole Shipley puts it, “AI agents are looking at things like product reviews, brand reviews on Google… whether you have FAQs, clear delivery communication, whether customer support is easy to find. Trust is one factor that plays into whether the AI agent decides to recommend your product.”
Self-Auditing and Continual Improvement
With so many factors in play, it can seem daunting to know where to start or how to measure the impact of your digital upgrades. Fortunately, AI offers powerful tools to audit and optimize your online presence.
“A very interesting exercise is: to ask it,” suggests Alyshah Walji. “Ask [the AI] about your brand. Ask it why it selected an item on your product. It does break down very often why it actually selected that specific piece.” This practice of self-auditing—querying AI agents with the same questions your customers might ask about your catalog or store—can reveal areas for improvement, from product data gaps to credibility signals you may be missing.
Douglas Estremadoyro recommends using multiple AI models in parallel: “Play with different tools out there because they have their own personalities and their own strengths and weaknesses… Ask Claude what he thinks of your website, products, or data. Ask Gemini, ask ChatGPT, ask Perplexity. Then you’re going to get a combined, more consolidated view where you can make improvements.”
Where to Start: Practical Steps for Retailers
No matter your size or sophistication, there are meaningful improvements any furniture retailer can implement today:
Establish a professional online presence. If you don’t yet have a website, start with a simple but robust site—even if you don’t plan to transact online. Today, “you don’t need to sell online to have a really good online presence because all of that information is still being used… by customers to make decisions. And also, agentic AI,” advises Cole Shipley.
Focus on your top products first. Don’t try to overhaul your entire catalog at once. “[Just] start with even the top five [products], making sure that they’re really dialed in,” suggests [Cole Shipley](/speakers/C). Use AI tools or your technology partner to audit, enrich descriptions, and ensure data completeness.
Leverage vendor data. Reach out to suppliers for detailed specs, images, and descriptions to supplement your catalog.
Use AI to clean and optimize your data. AI isn’t just for the sales side—it’s excellent at cross-checking for missing dimensions, gaps in descriptions, or inconsistent specs.
Work with your technology partners. Have them review what’s happening behind the scenes: server-side rendering, semantic markup, crawlability, and page performance.
Track progress. Set up analytics to monitor crawler/referral traffic, user experience scores (like Core Web Vitals), catalog data completeness, and your rankings for common prompts on various AI agents.
Self-audit regularly. “Create those 50 [likely customer] questions,” says Alyshah Walji, “and see how you rank. You might already be performing super well, and you might not even know about it.”
Don’t get caught up in tool overload. “Don’t get stuck on analysis paralysis or tool overwhelm,” warns [Douglas Estremadoyro](/speakers/D). “Just find something that works or use your general LLMs and move on and do the work.”
Measuring Success: Key Performance Metrics
As you invest in your digital storefront, you need to know it’s paying off. Fortunately, the most important metrics are familiar:
- Conversion rate and bounce rate (are shoppers engaging, or leaving immediately?)
- Time spent on product pages (are shoppers exploring, or getting stuck?)
- Traffic sources (how many visits from AI bots or AI-driven referrals?)
- Product catalog completeness (what percentage of listings have all key attributes, descriptions, images, etc.?)
- Presence in prompt results (when you or your team test likely AI queries, do your products appear?)
These, coupled with core web performance and feedback from both AI and human visitors, will help you focus on improvements and quantify your website’s increasing competitiveness.
The Bottom Line: The Future Is Practical, Not Science Fiction
The biggest misconception about AI’s role in the future of retail is that it’s out of reach or incomprehensible for most stores. As Douglas Estremadoyro puts it, “There’s this hype noise around AI that is this thing out there that is difficult. The foundation is the same. The basics are sort of the same. It’s about your data, your consistency, your clarity. So go ahead and do it. This doesn’t have to be a huge technology project to get started. You can use AI to help you get started, and you know, start with your data. It’s not about the tech itself or the technology behind your website. It’s about your information, your clarity, your consistency.”
No matter how advanced agentic AI becomes, the winners in home furnishings retail will be those who:
- Provide rich, clear, and comprehensive product data
- Build approachable, trustworthy web experiences
- Maintain transparency and deliver a seamless journey from digital discovery to in-store (or online) purchase
By getting these fundamentals right, you position your store to thrive in the AI-driven commerce landscape—for today and the future.
Take action now—roll up your sleeves, optimize your digital storefront, and let both customers and AI discover the best your store has to offer.
