Furniture E-Commerce, Showrooms and Artificial Intelligence

The digital channel is growing in furniture, but this does not mean that the showroom is dead. Türkiye’s broad “Home, Garden, Furniture and Decoration” e-commerce category grew 50% to TRY 215.57 billion in 2025. E-commerce represented 17.1% of all US retail sales in the second quarter of 2026. Online revenue shares at major furniture and home retailers range from roughly 30% to 65%, while some of those same businesses continue to open stores, design centers and smaller urban formats. Artificial intelligence has moved into product copy and imagery, visual room planning, customer service, order allocation and surface inspection. The evidence points to a clear direction: transactions are becoming more digital, physical space is changing function, and AI is accelerating decision support. The strategic question is no longer “online or store?” It is which touchpoint best resolves each uncertainty in one connected customer journey.

Executive summary

• Türkiye’s Ministry of Trade reported total e-commerce volume of TRY 4.57 trillion and retail e-commerce volume of TRY 2.46 trillion in 2025. The broad Home, Garden, Furniture and Decoration category generated TRY 215.57 billion.
• The category grew 50% and recorded an average basket of TRY 9,388, one of the report’s highest. Its cancellation and return rate was 6.6%.
• This data does not reveal what percentage of total furniture retail is online. The category includes garden and decoration, and the official report does not provide a like-for-like total furniture-retail denominator.
• In the United States, e-commerce accounted for 17.1% of total retail in the second quarter of 2026. This is another broad benchmark, not furniture-specific penetration.
• IKEA’s online share rose to 30% in FY2025, while store visits also increased 1.3% to 736 million. The business opened 54 new locations. Digital and physical traffic expanded at the same time.
• Williams-Sonoma generated approximately 65% of FY2025 net revenue through e-commerce and continued to use stores as design centers and omnichannel fulfillment assets.
• Online-native Wayfair operated 12 physical stores excluding outlets at the end of 2025 and described further openings as part of its strategy. The showroom is being redesigned, not simply eliminated.
• Among Turkish e-commerce businesses using AI, 83.4% reported product-text or image generation, 24% chatbots and 19.9% personalized recommendations. These figures cover surveyed e-commerce businesses broadly, not a furniture-only sample.
• The most mature furniture applications are content, search and recommendation, visual room planning, service support, demand or order decisions, and image-based quality inspection. Fully autonomous design, procurement and pricing remain less mature because data, governance and accountability are difficult.

Why furniture e-commerce does not have one percentage

At least three different denominators can sit behind the question “What is e-commerce’s share of furniture?”

1. What share of total e-commerce comes from furniture and home-living products?
2. What share of all furniture retail transactions happens online?
3. What share of a particular company’s revenue comes from online channels?

The three ratios are not interchangeable. The first measures category size inside e-commerce, the second measures channel penetration in a sector, and the third describes a company’s business model. Marketplaces, brand websites, mobile applications, social commerce, online orders placed in stores and B2B portals may also be classified differently between datasets.

There is no publicly available series using one definition across all countries, all furniture types and the first half of 2026. The responsible approach is to use three separate lenses: official national data, audited company channel mixes and observed investment in physical networks.

Türkiye: rapid growth in a broad home and furniture category

According to the Ministry of Trade’s Türkiye E-Commerce Outlook 2025, total e-commerce volume increased 52.2% to TRY 4.57 trillion. Retail e-commerce expanded 51.8% to TRY 2.46 trillion. Total value was reported at $115.43 billion, up 28.9% in US dollar terms.

The Home, Garden, Furniture and Decoration category rose from TRY 143.72 billion in 2024 to TRY 215.57 billion in 2025, an increase of 50.0%. The category was approximately 4.7% of the reported total e-commerce volume. That percentage is a calculation from the source values; it is not the online share of furniture retail.

The category profile also reflects high-consideration purchases:

• Average basket value was TRY 9,388, among the report’s highest after white goods.
• The cancellation and return rate was 6.6%.
• 10.5% of enterprises active in e-commerce operated in the broad category. This is an enterprise count, not a sales share.
• Women accounted for 75% of marketplace spending in the category.
• Spending was particularly strong among consumers aged 25 to 39.

Home, garden, furniture and decoration grows online

Türkiye e-commerce volume, TRY billions, broad category

ANNUAL GROWTH

+50.0%

AVG. BASKET

TRY 9,388

CANCEL + RETURN

6.6%

Source: Republic of Türkiye Ministry of Trade, E-Commerce Outlook 2025. Category is broader than furniture.KAVELA RESEARCH

The implications for a furniture brand are twofold. Online demand represents a large and rapidly growing revenue pool. At the same time, the high basket raises the importance of product information, delivery promises, installments, installation, returns and trust relative to low-value categories.

What the Turkish data does not tell us

The report does not provide total Turkish furniture retail using the same category boundary, so it cannot support a statement that “X% of furniture is sold online.” The Home, Garden, Furniture and Decoration category includes products outside furniture. A professional publication should distinguish between the following claims:

• Supported: the broad category generated TRY 215.57 billion in e-commerce in 2025 and grew 50%.
• Unsupported from this source: a specific percentage of Türkiye’s total furniture sales occurred online.

The second ratio would require online and offline sales under an identical product scope. Because the public official report does not provide that denominator, precision would be misleading.

International lens: channel shares vary sharply

US total retail: 17.1% online

According to the US Census Bureau’s second-quarter 2026 release, seasonally adjusted e-commerce sales were $340.2 billion, up 3.8% from the previous quarter and 12.2% from a year earlier. E-commerce represented 17.1% of total retail sales.

This is not a furniture-specific rate. It provides the general digital benchmark for a large market. A furniture company can reasonably sit above or below 17.1%, depending on brand, price segment, product shippability, store network, customer profile and delivery service.

IKEA: online share and store traffic grew together

According to Ingka Group’s FY2025 release, online sales rose from 28% of total sales in FY2024 to 30% in FY2025. Store visits increased 1.3% to 736 million, online visits rose 4.6% to 3.2 billion, and the business opened 54 new locations.

The result directly challenges a simple “showrooms are dead” thesis. Higher online share did not require falling store traffic. IKEA also announced that it would open 20 small stores across Europe and North America within six months in 2026. Planning and ordering locations closer to urban customers are developing alongside traditional destination stores.

Williams-Sonoma: digital weight and physical design centers coexist

The Williams-Sonoma FY2025 Form 10-K reports that approximately 65% of net revenue came from e-commerce. Retail comparable sales still increased 6.4%, compared with 2.2% for e-commerce comparable sales. The company describes stores not merely as checkout locations, but as design centers and part of an omnichannel fulfillment network.

The 65% figure is not the US furniture market’s online share. It is the channel mix of a particular business operating brands such as Pottery Barn, West Elm and Williams Sonoma. It nevertheless demonstrates that a high digital share can coexist with a valuable physical estate.

Wayfair: why is an online-native retailer opening stores?

The Wayfair 2025 Form 10-K states that the company operated 12 physical retail stores, excluding outlets, across four US states at 31 December 2025 and planned more locations. It says stores enable customers to experience products and benefit from services. The filing also lists the hesitation to buy bulky products without a physical storefront, damage and returns among the challenges of the online model.

An online-native retailer adding physical locations is not evidence of a channel war. It is a strategy for reducing uncertainty. Fabric hand, seating comfort, actual color, scale and assembly quality cannot be communicated perfectly on screen. A store can supply the evidence even when the eventual transaction occurs elsewhere.

Physical networks persist as online sales grow

Four indicators with different denominators. They must not be compared as market shares.

US TOTAL RETAIL

17.1%E-commerce share, Q2 2026

IKEA

30%FY2025 online share; 736m store visits

WILLIAMS-SONOMA

~65%FY2025 e-commerce revenue; stores as design centers

WAYFAIR

12Physical stores at 2025 year-end, excluding outlets

Sources: US Census, Ingka Group, Williams-Sonoma 10-K, Wayfair 10-K. Company shares are not market averages.KAVELA RESEARCH

RH: a combination of gallery, content and hospitality

The RH 2026 Form 10-K positions the physical Design Gallery network as a brand experience integrated with websites and sourcebooks. RH reports hospitality elements at 25 galleries. Its view that the experience cannot be replicated online is a company strategy claim, not an independent market fact. It is still useful evidence of how a premium brand assigns a distinct role to physical space.

Is the showroom dead?

No. The old showroom model is becoming weaker. A large space consisting only of displayed products, labels and sales desks offers little that an online catalogue, search engine and comparison tool cannot duplicate. A viable showroom is acquiring six functions:

1. Sensory verification: fabric, color, firmness, seating, mechanism sound and surface quality.
2. Scale verification: the real relationship between product, human body and space.
3. Design service: professional coordination of plan, material, color and product combinations.
4. Trust and risk reduction: proof that a real service organization stands behind a high-value order.
5. Project laboratory: samples, mock-ups, power solutions, acoustics, technical files and custom-manufacturing decisions.
6. Omnichannel node: online ordering, appointments, collection, returns, service and spare parts.

If showroom success is measured only by revenue paid at the counter per square meter, its digital influence disappears. A customer can touch fabric in a store and order on a phone two days later. Another can discover products online and complete a project meeting in the showroom. Good measurement connects the touchpoints into one journey where identity, privacy and consent allow.

The role of physical space in office and contract furniture

B2B and project procurement is not only an aesthetic preference. Employer, architect, procurement, health and safety, IT, facilities and users can all make separate decisions. The showroom can support:

• Ergonomic trials with different body types.
• Real-scale checks of desks and storage modules.
• Demonstration of power, data and cable management.
• Acoustic samples and material comparisons.
• Review of fire, emissions, durability and cleaning documentation.
• Signed control samples for color and finish.
• Mock-up room or pilot-area decisions.
• Installation, maintenance and spare-parts scenarios.

In this context, the showroom is not a warehouse filled with products. It is a decision environment that improves quote conversion and reduces project risk.

Where is AI in the furniture industry today?

Treating AI as one technology is misleading. Generative AI creates language and images. Computer vision recognizes objects or defects. Predictive models estimate demand and inventory signals. Optimization systems select orders, routes or cutting plans. Maturity differs across the furniture value chain.

Adoption among Turkish e-commerce businesses

In the business survey within the Türkiye E-Commerce Outlook 2025 report:

Among AI users, 83.4% reported product text or image generation, 24% chatbots, 19.9% personalized recommendations, 16.8% voice product search or ordering and 3.6% smart payments. The survey covers e-commerce businesses broadly and must not be presented as a furniture-only sample.

The barriers help explain why content generation dominates: legal uncertainty was cited by 70.3%; privacy and data security by 70.2%; external finance by 62.8%; difficulty measuring return on investment by 54.4%; secure cloud access by 51.8%; suitable vendors by 51.5%; skill gaps by 31.9%; and staff resistance by 14.1%.

AI in e-commerce is scaling first in content

Use case among AI-using Turkish e-commerce businesses, percent

Source: Republic of Türkiye Ministry of Trade, E-Commerce Outlook 2025. Sample is not furniture-specific.KAVELA RESEARCH

Eight AI applications across the value chain

1. Product copy, translation and enrichment

AI can draft titles, descriptions, SEO copy, comparison tables and multilingual content from structured product fields. The productivity gain can be substantial, but a language model may invent dimensions, materials, certificates or warranty terms. The safer architecture does not ask a model to improvise facts. It generates from an approved product-information source and flags missing data.

2. Image generation and staging

A furniture product can be shown in multiple rooms, color schemes and use scenarios. Generative systems can also alter product geometry, leg count, seams, mechanisms or finish codes. Inspiration media and product evidence need separate rules. On a product detail page, imagery that represents dimensions and construction should come from real photography, verified 3D assets or controlled rendering.

3. Search and personalization

A customer can search in natural language for “a two-person walnut-tone desk with cable management for a narrow room.” Recommendation systems can rank not only by visual similarity, but by dimensions, stock, delivery region, price, compatibility and past behavior. The objective should be a suitable order with low return risk, not merely another click.

4. Room scanning and visual planning

IKEA Kreativ uses computer vision and 3D technology to let customers scan a room, digitally remove existing furniture and place IKEA products. A 2024 IKEA update reported availability in 29 markets and more than seven million active designers a year. The tool connects abstract catalogue dimensions with a customer’s own space.

Wayfair Muse offers generative style discovery, inspiration imagery and the ability to apply an approach to a room photo. Both cases show AI becoming a pre-purchase decision interface, not only a back-office automation tool.

5. Customer service and sales support

An AI assistant can help with product finding, order status, delivery, assembly and routine service questions. Wayfair’s 2025 filing says approximately 2,000 customer-service employees were supplemented by AI tools. The strongest design does not remove people from every interaction. It locates product and order information quickly and routes complex damage, safety or project issues to the right specialist.

6. Demand, inventory and order allocation

Demand can be forecast at region, color, dimension and campaign level. Order allocation can optimize more than the nearest warehouse by incorporating inventory risk, delivery promise, capacity, damage rate and transport cost. IKEA’s 2026 account of its AI approach cites personalization, a generative AI assistant and goal-based order allocation among practical applications.

7. Manufacturing quality control

Cameras can inspect furniture and panel surfaces for scratches, holes, discoloration, adhesive marks or veneer defects. Fraunhofer ITWM’s wood-panel surface inspection work combines classical image processing and deep neural networks for real production environments. The source also emphasizes imbalanced defect data and the importance of expert annotation. A model cannot reliably recognize every rare defect it has never seen.

8. Raw-material grading and process optimization

The Fraunhofer IDMT DATMUSSS project, active in 2026, combines cameras, acoustics and laser sensors with AI to improve log-quality classification. Its goal of less than 1% misclassification is a research target, not a reported achieved metric. The distinction matters when reading technology announcements.

Cutting layouts, part nesting, energy consumption and predictive maintenance can also be improved through AI or mathematical optimization. Applying an “AI” label to a standard optimization algorithm adds no business value. Success must appear in waste, cycle time, downtime, quality or energy metrics.

Where is AI ready, and where is it early?

Maturity varies by company. A manufacturer with controlled bills of materials and image archives can obtain value much faster than a competitor using the same software on fragmented data. The first task in an AI program is often not model selection, but organizing product identity, dimensions, materials, inventory and media assets.

AI risks that are specific to furniture

Distorting the product

A generative image can alter chair legs, arms, seams or mechanisms. If the visual differs from the delivered product, the problem is not merely aesthetic. It becomes a sales representation and trust issue. A media policy should state clearly which images are inspiration and which are product evidence.

Dimension and spatial errors

Furniture may look plausible in a room image while its scale is wrong. Circulation space, chair pullback, door swing and ergonomics require numeric validation. “It fits in the picture” is not an approved technical layout.

Price and inventory hallucinations

A free-form language model can state an outdated price, unavailable color or impossible delivery date. A customer assistant should expose only authorized price, stock and logistics services, and transfer to a person when certainty is insufficient.

Copyright, design rights and privacy

A customer’s room photograph may contain personal information. Design images can be confidential or protected intellectual property. Contracts should establish which data reaches the model provider, retention periods and whether inputs are used for training.

Automation bias

Employees may treat a model score as fact. A quality-inspection system can miss rare defects, and a demand model can project past promotional distortion into the future. Human review should be designed according to risk, not added informally.

How showroom and AI combine

The next-generation showroom does more than display physical products. It connects physical verification with a much larger digital option space:

• Before the appointment, the customer sends a mood board, room dimensions and needs.
• AI prepares an initial shortlist from controlled product data, dimensions and budget.
• A designer verifies fabric, seating, color and material in the showroom.
• The room plan is viewed at real dimensions on screen or through augmented reality.
• A quote uses the actual selected variants, stock and delivery information.
• Meeting notes and decisions are summarized with customer consent.
• The order can be completed online, with delivery and service tracked in the same account.

This model does not have to reduce the designer’s role. It can remove repetitive search and documentation, creating more time for needs discovery, material advice, proportion, ergonomics and trust.

A practical 90-day roadmap

Days 1-30: data and customer journey

• Map touchpoints from online discovery through post-delivery service.
• Audit product identity, dimensions, colors, materials, prices, stock, images and documents.
• Identify the top 20 causes of returns, service requests and customer questions.
• Do not measure the store only through counter revenue. Connect appointments, samples and quotes to later online orders.
• Write AI rules covering personal data, product truth and human approval.

Days 31-60: two low-risk pilots

Choose one content pilot and one operations pilot, for example:

• Drafting Turkish and English descriptions from approved product fields while flagging missing data.
• Classifying service requests and summarizing them for representatives.

The objective is not to say “we use AI”. It is a measured change in time, error, conversion or service quality. Use a control group or a before-and-after comparison.

Days 61-90: showroom and commerce integration

• Add room dimensions and a needs form to online appointment booking.
• Connect showroom meetings to customer accounts and quote IDs.
• Pilot verified 3D or room placement on a limited best-selling range.
• Constrain the chatbot to product finding and order status instead of allowing a general model to invent prices.
• Before scaling, define an owner, error budget and rollback process.

The right KPI set

When e-commerce, showrooms and AI do not share an outcome, teams compete to claim the same sale. A common dashboard can include:

1. Total customer-acquisition cost.
2. Online and showroom-assisted conversion.
3. Appointment-to-quote and quote-to-order conversion.
4. Channel-influenced revenue, not only last-click revenue.
5. Average basket and gross contribution.
6. Delivery-promise accuracy.
7. Cancellation, return, damage and missing-part rates.
8. Product-information completeness.
9. Zero-result search and filter abandonment.
10. AI response accuracy and escalation rate.
11. Preparation time per design consultation.
12. Customer satisfaction and repeat purchase.

An AI visualization tool that increases time on page but also increases returns is not successful. A showroom that appears to lose its transaction to the online channel but raises total conversion should not be closed. Measurement must reflect the customer’s actual journey.

Five strategic implications for the industry

1. Online is infrastructure, not merely a channel

Customers compare products, look for dimensions and read reviews before entering a store. Even a physical sale depends on digital product information. Current prices, dimensions, stock and media are not only the e-commerce team’s responsibility.

2. A showroom should produce confidence, not floor area

Rather than display one of every item, a space can focus on the decisions that need physical evidence: seating types, surfaces, joint quality, mechanisms, acoustics and real scale. Digital variants extend the physical sample.

3. A large basket creates a service economy

The TRY 9,388 average basket in Türkiye’s broad category highlights the commercial importance of delivery and returns. In large furniture, transport, carry-in, assembly, packaging removal and damage resolution are part of the product.

4. Product data is the fuel for AI

A model working with missing dimensions, inconsistent color names, duplicate SKUs and incorrect inventory will scale errors. A successful AI project is often a master-data project first.

5. Human expertise becomes more visible

AI can narrow hundreds of options. A person interprets seating feel, social use of space, organizational culture, maintenance capability and aesthetic balance. Trust and accountability remain human, especially in contract furniture.

Conclusion: digital grows, showrooms transform, AI settles in

Furniture e-commerce has reached substantial and fast-growing volume. Türkiye’s broad home, garden, furniture and decoration category reached TRY 215.57 billion in 2025. Available official data does not allow a single furniture-retail online penetration percentage. The US total-retail rate of 17.1% and company online mixes from 30% to 65% use different denominators.

The showroom is not dead. IKEA’s online share and store visits rose together, Williams-Sonoma maintained physical design centers alongside a high digital share, and online-native Wayfair opened stores. What is dying is the showroom that offers only shelves and price labels, disconnected from the digital journey. The viable model supplies sensory proof, expertise, project validation and omnichannel service.

AI is not a distant future either. It is present in content, search, recommendation, room planning, service, order allocation and quality inspection. The highest-value application is not the most impressive demo. It is the one connected to verified product data that improves conversion, returns, delivery or quality. The furniture businesses that win in 2026 will not put online against stores or AI against people. They will use each at the point where it reduces customer uncertainty best.

Methodology and source notes

The data cutoff for this article is 24 August 2026. Türkiye’s category value includes home, garden and decoration alongside furniture. Company channel shares are not treated as market shares. The approximate 4.7% category share is calculated by dividing TRY 215.57 billion by TRY 4.57 trillion in total e-commerce volume.

Primary sources

• Türkiye Ministry of Trade, E-Commerce Outlook 2025
• Türkiye Ministry of Trade, full report PDF
• US Census Bureau, Quarterly Retail E-Commerce Sales
• Ingka Group, FY2025 customer and channel results
• Ingka Group, 2026 small-store expansion
• Williams-Sonoma, FY2025 Form 10-K
• Wayfair, 2025 Form 10-K
• RH, 2026 Form 10-K
• IKEA Kreativ, AI-powered room design
• IKEA Kreativ, 29-market adoption update
• Ingka Group, 2026 AI applications
• Wayfair Muse, generative AI shopping experience
• Fraunhofer ITWM, wood-panel surface inspection
• Fraunhofer IDMT, DATMUSSS log-quality project