we recently sat down with three industry experts<\/a> to discuss the practical application of \u201cAgentic AI\u201d in furniture retail.<\/p>\nThe 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.<\/p>\n
The home furnishings industry is in the midst of a dramatic transformation. Not long ago, a store\u2019s website served primarily as an online catalog\u2014a 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\u2019s digital storefronts play a radically different and far more impactful role.<\/p>\n
Increasingly, artificial intelligence isn\u2019t just helping with behind-the-scenes recommendations or powering simple chatbots. It\u2019s profoundly redefining how consumers discover, evaluate, and engage with furniture brands\u2014often 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.<\/p>\n
The Rise of Agentic AI: What It Means for Retail<\/p>\n
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\u2019s savvy consumers might be using ChatGPT, Gemini, or other conversational AI platforms to research and find their next sofa, sectional, or dining table\u2014not just by style or price, but with highly detailed, specific requirements.<\/p>\n
As Douglas Estremadoyro explains, \u201cPeople, instead of browsing through dozens of pieces, comparing specs, and narrowing down the options manually, are interacting with AI tools using natural language\u2026 For example, \u2018What\u2019s the best sectional for a small apartment with pets under $1200?\u2019 That\u2019s how people are going to search using AI.\u201d\u00a0<\/p>\n
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\u2014it must be intelligible, comprehensive, and trustworthy in ways that both AI agents and human shoppers can understand.<\/p>\n
Why Digital Discoverability Matters More Than Ever<\/p>\n
A key shift for furniture retailers is recognizing just how many customer journeys now begin online\u2014even when the final purchase occurs in the store. As Alicia Waljie observes, \u201cWe find that nearly half of furniture purchases today happen online. Customers increasingly expect personalized recommendations, conversational shopping, and seamless online store journeys. But it\u2019s not replacing the physical store; it\u2019s really reshaping how customers discover, evaluate, and narrow down options before entering the store.\u201d<\/p>\n
Customers want to connect with brands, research options, and understand what\u2019s available in their vicinity before making the effort to visit in person. \u201cIt\u2019s really about finding those new customers, those that wouldn\u2019t 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,\u201d Alicia Waljie adds.<\/p>\n
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.<\/p>\n
The Foundation: Making Your Retail Website AI-Ready<\/p>\n
So, what does it mean to have an \u201cAI-ready\u201d website in today\u2019s environment? It all starts with your product data\u2014how it\u2019s structured, how complete it is, and how easily both algorithms and customers can understand it.<\/p>\n
Douglas Estremadoyro highlights the seismic change: \u201cYour information needs to respond [to customer needs]. It needs to explain who the product is for, how it\u2019s going to be used, what problem it\u2019s going to solve, and that\u2019s going to consistently outperform your competition if you try to respond to those needs.\u201d<\/p>\n
Here are the critical elements of an AI-ready furniture retail website:<\/p>\n
Comprehensive Structured Data<\/p>\n
As Cole Shipley points out, \u201cThis is the critical foundation to every agentic AI experience right now\u2026 AI is looking at all the attributes a customer is entering and using that information to generate product recommendations. If your product doesn\u2019t 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.\u201d<\/p>\n
At a minimum, ensure you provide:<\/p>\n
Accurate dimensions on every product<\/p>\n
Style fields (e.g., \u201cmid-century modern,\u201d \u201cfarmhouse,\u201d \u201ccontemporary\u201d)<\/p>\n
Rich, descriptive language that goes beyond keyword stuffing and speaks naturally about use cases, rooms, design inspiration, and who the piece might suit<\/p>\n
Technical specifications (materials, finishes, fabric types, weight limits, etc.)<\/p>\n
Pricing and real-time availability (ideally with fulfillment timelines, e.g., \u201ccan deliver within two weeks\u201d)<\/p>\n
Location-based inventory (\u201cAvailable at our downtown showroom,\u201d etc.)<\/p>\n
Alyshah Walji echoes this sentiment: \u201cYou 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.\u201d<\/p>\n
Plain Language and Context<\/p>\n
Agentic AI favors clarity and context. Descriptions written for humans, not robots, outperform those filled with jargon or bare specs. \u201cThe context that AI needs is also really helpful for a customer\u2026 having that data completeness is important. Having all the technical specs is also really important,\u201d Cole Shipley reiterates.<\/p>\n
Moreover, contextual information helps both humans and machines. For example: \u201cPerfect 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.\u201d This kind of descriptor complements the basics, like \u201cL-shaped, 108 inch by 72 inch sectional in gray fabric.\u201d<\/p>\n
Omnichannel Inventory and Experience<\/p>\n
Keep in mind that many customers still value in-store shopping. As Alyshah Walji notes, \u201cOver 50% of consumers still prefer shopping furniture in person\u2026 They want to see it, experience it, touch it.\u201d<\/p>\n
Therefore, your website should not only \u201cromance\u201d the product, but also help customers know:<\/p>\n
\u2013 Which showroom(s) carry the item<\/p>\n
\u2013 Real-time stock status at each location<\/p>\n
\u2013 What the in-store experience feels like (\u201cVisit our design bar for on-site material samples and inspiration\u201d)<\/p>\n
Site Performance and User Experience: Not Just for SEO<\/p>\n
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.<\/p>\n
Douglas Estremadoyro points out, \u201cIf your website is cluttered, inconsistent, hard to navigate, it\u2019s 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\u2026 A well-structured site, easy to navigate, is ahead of the game.\u201d<\/p>\n
Key web performance elements include:<\/p>\n
\u2013 Fast loading times (especially on mobile)<\/p>\n
\u2013 Clear, readable design with semantic HTML for accessibility<\/p>\n
\u2013 Up-to-date, accurate pricing and inventory<\/p>\n
\u2013 Easy-to-use search and filter options<\/p>\n
\u2013 Seamless cart and checkout flows (if relevant)<\/p>\n
\u2013 Prominent contact and support options<\/p>\n
\u2013 Accessibility standards, such as alt text for images<\/p>\n
As Cole Shipley explains, \u201cAI assistance and agents are increasingly considering the UX and design of a website. So it\u2019s 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.\u201d<\/p>\n
Trust and Confidence: The Differentiators for High-Consideration Purchases<\/p>\n
Unlike buying books or clothes online, furniture is a high-consideration purchase; it\u2019s expensive and highly personal. Winning customer trust is non-negotiable. Much of what builds customer trust also builds trust in AI agents.<\/p>\n
Douglas Estremadoyro notes, \u201cAt the end of the day, you want to gain that confidence through transparency and completeness. Customers want to quickly understand what they\u2019re 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.\u201d<\/p>\n
Other trust builders include:<\/p>\n
\u00a0Prominent display of return and delivery policies
\n\u00a0Authentic, recent customer reviews (ideally with photos)
\n\u00a0High-quality, multi-angle product images and videos
\n\u00a0Real-time chat or easy access to customer support
\n\u00a0Social proof (Instagram images, press mentions)
\n\u00a0FAQ sections that address shipping, assembly, returns, and warranties<\/p>\n
As Cole Shipley puts it, \u201cAI agents are looking at things like product reviews, brand reviews on Google\u2026 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.\u201d<\/p>\n
Self-Auditing and Continual Improvement<\/p>\n
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.<\/p>\n
\u201cA very interesting exercise is: to ask it,\u201d suggests Alyshah Walji. \u201cAsk [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.\u201d This practice of self-auditing\u2014querying AI agents with the same questions your customers might ask about your catalog or store\u2014can reveal areas for improvement, from product data gaps to credibility signals you may be missing.<\/p>\n
Douglas Estremadoyro recommends using multiple AI models in parallel: \u201cPlay with different tools out there because they have their own personalities and their own strengths and weaknesses\u2026 Ask Claude what he thinks of your website, products, or data. Ask Gemini, ask ChatGPT, ask Perplexity. Then you\u2019re going to get a combined, more consolidated view where you can make improvements.\u201d<\/p>\n
Where to Start: Practical Steps for Retailers<\/p>\n
No matter your size or sophistication, there are meaningful improvements any furniture retailer can implement today:<\/p>\n
Establish a professional online presence. If you don\u2019t yet have a website, start with a simple but robust site\u2014even if you don\u2019t plan to transact online. Today, \u201cyou don\u2019t need to sell online to have a really good online presence because all of that information is still being used\u2026 by customers to make decisions. And also, agentic AI,\u201d advises Cole Shipley.<\/p>\n
Focus on your top products first. Don\u2019t try to overhaul your entire catalog at once. \u201c[Just] start with even the top five [products], making sure that they\u2019re really dialed in,\u201d suggests [Cole Shipley](\/speakers\/C). Use AI tools or your technology partner to audit, enrich descriptions, and ensure data completeness.<\/p>\n
Leverage vendor data. Reach out to suppliers for detailed specs, images, and descriptions to supplement your catalog.<\/p>\n
Use AI to clean and optimize your data. AI isn\u2019t just for the sales side\u2014it\u2019s excellent at cross-checking for missing dimensions, gaps in descriptions, or inconsistent specs.<\/p>\n
Work with your technology partners. Have them review what\u2019s happening behind the scenes: server-side rendering, semantic markup, crawlability, and page performance.<\/p>\n
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.<\/p>\n
Self-audit regularly. \u201cCreate those 50 [likely customer] questions,\u201d says Alyshah Walji, \u201cand see how you rank. You might already be performing super well, and you might not even know about it.\u201d<\/p>\n
Don\u2019t get caught up in tool overload. \u201cDon\u2019t get stuck on analysis paralysis or tool overwhelm,\u201d warns [Douglas Estremadoyro](\/speakers\/D). \u201cJust find something that works or use your general LLMs and move on and do the work.\u201d<\/p>\n
Measuring Success: Key Performance Metrics<\/p>\n
As you invest in your digital storefront, you need to know it\u2019s paying off. Fortunately, the most important metrics are familiar:<\/p>\n
Conversion rate and bounce rate (are shoppers engaging, or leaving immediately?)
\nTime spent on product pages (are shoppers exploring, or getting stuck?)
\nTraffic sources (how many visits from AI bots or AI-driven referrals?)
\nProduct catalog completeness (what percentage of listings have all key attributes, descriptions, images, etc.?)
\nPresence in prompt results (when you or your team test likely AI queries, do your products appear?)<\/p>\n
These, coupled with core web performance and feedback from both AI and human visitors, will help you focus on improvements and quantify your website\u2019s increasing competitiveness.<\/p>\n
The Bottom Line: The Future Is Practical, Not Science Fiction<\/p>\n
The biggest misconception about AI\u2019s role in the future of retail is that it\u2019s out of reach or incomprehensible for most stores. As Douglas Estremadoyro puts it, \u201cThere\u2019s 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\u2019s about your data, your consistency, your clarity. So go ahead and do it. This doesn\u2019t 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\u2019s not about the tech itself or the technology behind your website. It\u2019s about your information, your clarity, your consistency.\u201d<\/p>\n
No matter how advanced agentic AI becomes, the winners in home furnishings retail will be those who:<\/p>\n
Provide rich, clear, and comprehensive product data
\nBuild approachable, trustworthy web experiences
\nMaintain transparency and deliver a seamless journey from digital discovery to in-store (or online) purchase<\/p>\n
By getting these fundamentals right, you position your store to thrive in the AI-driven commerce landscape\u2014for today and the future.<\/p>\n
Take action now\u2014roll up your sleeves, optimize your digital storefront, and let both customers and AI discover the best your store has to offer.<\/p>\n","protected":false},"excerpt":{"rendered":"How Furniture Retailers Can Thrive in the Agentic Era The digital landscape for home furnishings is shifting beneath…\n","protected":false},"author":2,"featured_media":57923,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,7493,24,33700,20952,1732,13468,11693,33701],"class_list":["post-57922","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-agentic-ai","tag-agentic-artificial-intelligence","tag-ai","tag-blueport-commerce","tag-customer-experience-technology","tag-ecommerce","tag-lightspeed","tag-sales","tag-website-desgin"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/57922","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=57922"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/57922\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/57923"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=57922"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=57922"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=57922"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}