Use of AI in Interior Design [10 Examples + 5 Case Studies][2026]

Artificial intelligence is fundamentally changing the way interior spaces are conceived, visualized, and brought to life. From AI tools that generate room layouts in seconds to mixed-reality platforms that let homeowners place true-to-scale furniture in 3D replicas of their actual rooms, the technology is no longer an experimental add-on — it is becoming a core part of how design decisions get made. The global AI interior design market reached $1.39 billion in 2025 and is projected to grow to $4.55 billion by 2030, with AI adoption among designers surging from 9% in 2023 to 29% in 2025. This article, curated by DigitalDefynd, examines real-world case studies of how companies such as Planner 5D, Wayfair, Autodesk, Havenly, and IKEA are deploying AI to improve interior design outcomes, alongside ten established examples of AI usage in the field across space planning, material selection, smart home integration, and more.

 

Index

Real-World Case Studies of AI in Interior Design

1. Planner 5D: AI tools drive users to create 2x more projects with higher engagement

• Challenge
• Solution
• Result

2. Wayfair: Decorify AI tool lets shoppers visualize shoppable room redesigns instantly

• Challenge
• Solution
• Result

3. Autodesk (MaRS Office): AI generative design used to create 60,000 sq ft Toronto office

• Challenge
• Solution
• Result

4. Havenly: AI design assistant trained on 2.4 million real interior designer renderings

• Challenge
• Solution
• Result

5. IKEA Kreativ: AI mixed-reality tool enables room redesign using 3D scanning technology

• Challenge
• Solution
• Result

Understanding the Use of AI in Interior Design

The 10 Examples of AI Usage in Interior Design

Example 1: Automated layout design

Example 2: Personalized style recommendations

Example 3: Virtual reality previews

Example 4: Smart home integration

Example 5: Predictive maintenance

Example 6: Sustainable material selection

Example 7: Enhanced customer service

Example 8: Efficient inventory management

Example 9: Trend analysis and forecasting

Example 10: Color matching and selection

 

Use of AI in Interior Design [5 Case Studies]

1. Planner 5D: AI Tools Drive Users to Create 2x More Projects with Higher Engagement

Planner 5D faced a persistent challenge common to most home design platforms: user drop-off. Many people who signed up to design their spaces would lose momentum after starting their first project, failing to complete it or return to the platform. Without a way to guide users past the intimidating “blank page” stage of interior design, the platform struggled to turn casual visitors into engaged, long-term users. The absence of clear, intelligent guidance meant that most non-professional users — homeowners, renters, and design enthusiasts — would stall early in the process, limiting the value the platform could offer across its global user base of over 200 million.

 

Solution

a. Automated Layout Generation: Planner 5D developed its Smart Wizard feature, an AI tool that automatically generates room layouts and furnishes spaces based on the user’s chosen room type and style. Instead of requiring users to manually place every item from scratch, the AI handles the initial setup, immediately presenting a workable design that users can then customize to their preferences.

b. AI Floor Plan Recognition: The platform introduced AI-powered floor plan recognition that converts uploaded images — including hand-drawn sketches or paper blueprints — into fully editable 3D digital projects. Usage of this feature grew by 49% between 2021 and 2022, with 156,000 projects created using it in 2022 alone, demonstrating rapid and sustained adoption.

c. Room Scanning via Mobile: Planner 5D added a Scan Room feature for iOS LiDAR devices, allowing users to generate 3D models of their actual physical spaces using only their phone. Within weeks of launch, over 17% of active users had already tried the feature, reflecting strong interest in reducing friction between real-world spaces and digital design.

d. Design Generator for Style Exploration: The Design Generator enables users to explore multiple interior styles quickly, generating photorealistic 3D renderings that reflect different aesthetic directions. This tool supports both beginners who need direction and professionals who want to rapidly present concept options to clients.

 

Result

The measurable impact of Planner 5D’s AI features is evident across multiple user behavior metrics. According to the platform’s AI Usage Report, users who engage with AI tools create projects at twice the rate of those who do not, with half of AI adopters completing at least two projects in their first month and a quarter completing three or more. AI users also add an average of 22 items per project, compared to just 9 to 10 for users who avoid AI features. A survey of over 2,600 users found that 85.4% now use AI tools to design their homes, and 84% prefer Planner 5D over competing AI platforms for interior design work.

 

Related: AI Use in Product Design

 

2. Wayfair: Decorify AI Tool Lets Shoppers Visualize Shoppable Room Redesigns Instantly

As one of the largest online home goods retailers in North America, Wayfair faced a fundamental challenge in the e-commerce experience: customers shopping for furniture and home decor found it difficult to visualize how products would look and fit within their actual living spaces. With a catalog of over 30 million items, the sheer volume of choices made the shopping journey overwhelming rather than inspiring. Customers often abandoned carts after being unable to confidently assess whether a sofa, rug, or lighting fixture would suit their existing interior. This uncertainty created a significant gap between browsing intent and actual purchase, limiting conversion rates and reducing overall customer satisfaction on the platform.

 

Solution

a. Photo-Based Room Transformation: Wayfair launched Decorify in July 2023, a generative AI tool that allows customers to upload a photo of their actual room and receive photorealistic redesigns in seconds. Using Stable Diffusion as its base model, the tool processes the uploaded image while preserving the room’s architectural constraints — such as window placement and room proportions — to generate redesigns that feel familiar yet entirely refreshed in a new style.

b. Style Selection and Personalization: Decorify offers customers a range of interior styles to choose from, including bohemian, mid-century modern, industrial, farmhouse, and others. It allows users to explore multiple design directions for the same space without committing to any purchases, reducing the anxiety of making costly, irreversible decisions about home furnishings.

c. Shoppable AI-Generated Designs: A computer vision model trained on Wayfair’s own product catalog identifies the furniture and decor elements within each AI-generated room design and maps them to real, purchasable items on the platform. Users can click on individual elements within the redesigned image and be directed to buy matching products directly, connecting inspiration directly to transaction.

d. Platform Expansion: Decorify was made available on the Apple Vision Pro headset in February 2024, extending the experience into spatial computing and allowing customers to interact with redesigned rooms in an immersive environment. The tool also evolved into the Muse feature, which expanded the concept into a broader AI-powered inspiration engine within the Wayfair app’s Discover tab.

 

Result

The business impact of Wayfair’s AI-driven visualization strategy has been measurable and significant. Wayfair CTO Fiona Tan confirmed that the conversion rate among customers who use Decorify is significantly higher than among those who do not, describing the feature as bridging the gap between the generated world and the real world. Decorify curated over 175,000 room designs since its launch, demonstrating strong and sustained user engagement. The integration of AI-generated imagery into the Discover tab further boosted both visit duration and conversion rates across the app, reinforcing the role of AI visualization in turning browsing into buying.

 

3. Autodesk (MaRS Office): AI Generative Design Used to Create 60,000 Sq Ft Toronto Office

Designing a large-scale office interior for more than 250 employees with diverse work styles, collaboration needs, and spatial preferences is a highly complex undertaking. When Autodesk set out to design its new three-floor, 60,000-square-foot office at the MaRS Discovery District in Toronto, the company recognized that traditional design methods — relying on precedent studies, designer intuition, and iterative manual planning — would be insufficient to optimize for so many competing variables simultaneously. Balancing natural light access, inter-team adjacency preferences, circulation flow, meeting room placement, and individual work style requirements across multiple floors represented a combinatorial problem that no human designer could efficiently resolve through conventional means alone.

 

Solution

a. Employee-Driven Input Collection: Before any design work began, Autodesk surveyed all 250-plus employees about their workplace preferences. The data gathered covered factors such as preferred proximity to specific colleagues and teams, desired distance between workstations, importance of outside views, and natural light requirements. This employee input formed the objective framework that the AI was tasked with optimizing, ensuring the final design was grounded in real human needs rather than assumptions.

b. Multi-Objective Generative Modeling: Autodesk’s design studio, The Living, working with the company’s generative design tool Project Discovery, defined six performance metrics to evaluate each layout option: adjacency preference, work style preference, buzz (productive congestion), productivity, daylight access, and views to the outside. These metrics were encoded into the system as measurable objectives that the AI would use to rank and filter design options.

c. Generation of 10,000 Design Alternatives: Using the defined constraints — including fixed elements such as column grids, staircases, elevators, and floor plate dimensions — the AI generated nearly 10,000 distinct layout configurations. Each was evaluated against the six performance metrics simultaneously, producing a ranked set of high-performing options that no manual design process could realistically replicate at that scale or speed.

d. Neighborhood-Based Space Organization: The AI organized the office into 15 distinct team neighborhoods, each tailored to the specific work style and collaboration patterns of the teams assigned to them. Each neighborhood was given the opportunity for further customization, including murals and aesthetic elements that reflected the character of the teams working within it.

 

Result

The completed Autodesk MaRS office became the first large-scale generatively designed office interior ever built, setting a landmark precedent for AI-assisted interior space planning. The design delivered a high-performing work environment that directly reflected the preferences of the 250-plus employees who would use it daily, a level of personalization that would have been practically unachievable through conventional design alone. The project also demonstrated that AI could handle qualitative, human-centered objectives — such as buzz and well-being — alongside quantitative spatial constraints, broadening the perceived scope of what generative design could accomplish in interior environments. The success of the MaRS office led Autodesk to apply the same generative design process to the layout of its Autodesk University exhibit hall in Las Vegas, confirming the approach as a repeatable and scalable methodology.

 

Related: AI Use in Sustainability

 

4. Havenly: AI Design Assistant Trained on 2.4 Million Real Interior Designer Renderings

The broader consumer AI interior design market that emerged after the rise of generative AI tools presented Havenly with both an opportunity and a threat. As a Denver-based interior design platform founded in 2014 and operating as the leading online interior design service in the US, Havenly had built its business around pairing clients with vetted professional designers. However, the explosion of generic, image-generation-based AI tools threatened to commoditize design assistance and undercut the perceived value of professional expertise. Generic AI platforms lacked the real-world design knowledge, curation standards, and product-specific intelligence that professional designers bring. Havenly recognized that to remain competitive, it needed to offer AI-powered design that went beyond aesthetic image generation — producing results that were grounded in actual, expert-level interior design practice and connected to real, shoppable products.

 

Solution

a. Proprietary Training on Real Design Work: Havenly built its AI assistant using a dataset of approximately 2.4 million proprietary renderings produced by its own vetted human designers over more than a decade of operations. Unlike generic AI models trained on broad internet imagery, Havenly’s model was trained exclusively on real interior design outcomes and client feedback, allowing it to replicate the nuanced judgment that professional designers apply to proportion, color theory, spatial flow, and lifestyle considerations.

b. Multiagent AI Architecture: The platform was developed using a multiagent system that combines general-purpose large language models with proprietary design models, each specialized for different stages of the creative process. It allows the tool to engage users in a chatbot-style conversation about their preferences, generate multiple design options, and then allow granular edits — such as swapping a specific piece of furniture or adjusting a color — without requiring a complete restart of the design.

c. Seamless AI-to-Human Transition: Havenly AI was designed to function as an entry point rather than a replacement for human expertise. Users who want to take their AI-generated concept further can transition directly to a one-on-one session with a professional Havenly designer, who uses the AI output as a starting reference. This hybrid workflow allows the platform to serve both users seeking a fast, low-cost first pass at design and those wanting full professional execution.

d. Integrated Shoppable Marketplace: Every design generated by the AI is connected to Havenly’s curated marketplace of more than 500,000 products from brands acquired or partnered with by the company, including Interior Define, The Inside, St. Frank, and The Citizenry. Users can see, swap, and purchase the exact items featured in their AI-generated room designs directly within the app.

 

Result

Havenly AI launched in beta in October 2025 through its iOS app and was described by independent design media as producing results that felt more genuinely interior design-oriented than competing platforms, with stronger proportions, more competent layouts, and a higher baseline of aesthetic taste. The tool’s ability to respond to granular refinement requests — such as changing a sofa color or replacing a side table — sets it apart from earlier-generation tools that required users to restart entirely for each revision. By combining a decade-plus of real design data with a shoppable product ecosystem, Havenly positioned itself as one of the few AI interior design tools that could move a user from inspiration through to purchase within a single, coherent experience.

 

5. IKEA Kreativ: AI Mixed-Reality Tool Enables Room Redesign Using 3D Scanning Technology

Online furniture retail carries an inherent disadvantage that physical showrooms do not: customers cannot see or feel how a product will actually look and fit within their own home before purchasing. IKEA, which serves hundreds of millions of customers globally and generated approximately $10.4 billion in e-commerce net sales in 2023, recognized that this uncertainty was a major source of purchase hesitation, cart abandonment, and product returns. IKEA’s own Life at Home report found that over 60% of customers had to significantly change how their home functioned since the pandemic, increasing demand for better home design tools. Existing digital solutions, including basic augmented reality apps and static online planners, offered limited realism and made it difficult for customers to accurately assess furniture scale, placement, and visual compatibility with their existing interiors.

 

Solution

a. AI-Powered Room Scanning: At the core of IKEA Kreativ is the Scene Scanner, built into the IKEA app, which uses a combination of AI neural networks, stereo vision algorithms, and computational photography to process a series of photographs taken by the user’s smartphone into a single, wide-angle, interactive 3D replica of their actual room. The AI automatically detects the geometry of the space — including walls, floors, windows, and ceiling height — and reconstructs accurate dimensions and perspective without requiring specialized equipment.

b. AI Furniture Erasing: One of the most practically useful features of IKEA Kreativ is its AI-driven erasing tool, which removes existing furniture and objects from the scanned room, providing a clean digital canvas for redesign. It allows customers to plan a completely new interior layout without needing to physically move or remove their current furnishings, removing one of the most significant logistical barriers to confident home redesign.

c. True-to-Scale 3D Product Placement: Once a room has been scanned and cleared, customers can browse IKEA’s full product catalog and place true-to-scale 3D models of furniture, rugs, lighting, and decor directly into the virtual replica of their space. Products automatically scale to the room’s actual dimensions and reflect the real-world lighting conditions captured during the scan, giving customers a highly accurate preview of how the final space would look.

d. Virtual Showroom Exploration: For customers who prefer not to scan their own space, IKEA Kreativ also offers more than 50 interactive 3D showrooms that users can explore and customize, allowing them to mix and match IKEA products within professionally designed room templates. This feature broadens the tool’s accessibility to customers at any stage of the design process.

 

Result

Since its launch, IKEA Kreativ attracted over 3 million users who created virtual room designs using the platform. The tool was recognized as the home retail industry’s first fully featured mixed-reality design experience, bridging the e-commerce and in-store customer journeys in a way no prior digital tool had achieved at that scale. By giving customers the ability to confidently validate furniture scale, placement, and styling within a photorealistic replica of their actual room, IKEA Kreativ directly reduced the hesitation that causes cart abandonment in the high-consideration furniture category. Customers who used the tool arrived at purchase decisions with greater certainty, supporting stronger conversion rates and a more purposeful path from design planning to checkout.

 

Related: AI Use in Supply Chain Management

 

Use of AI in Interior Design [10 Examples] [2026]

Understanding the Use of AI in Interior Design

AI in interior design is revolutionizing how designers approach their projects’ creative and operational aspects. AI-powered tools and software enable designers to analyze vast amounts of data, including client preferences, spatial dimensions, and environmental factors, to create highly personalized and optimized living spaces. For instance, AI algorithms can suggest color schemes, furniture placement, and lighting based on user behavior and trends, drastically reducing the time required for conceptualizing designs. Additionally, virtual reality (VR) and augmented reality (AR) powered by AI provide clients with immersive previews of their spaces, allowing for adjustments before any physical changes are made.

Moreover, AI is enhancing the sustainability and efficiency of design by predicting the environmental impact of materials and construction methods. It helps select the most sustainable options, thereby reducing the carbon footprint of projects. AI is also automating routine tasks like inventory management and client communications, freeing designers to focus more on the creative aspects of design. As AI technology advances, its integration into interior design is expected to deepen, making innovative design more accessible and providing solutions that are aesthetically appealing, functionally superior, and environmentally conscious.

 

The 10 Examples of AI Usage in Interior Design

Example 1: Automated Layout Design

AI-powered tools like Autodesk’s Project Refinery utilize advanced algorithms to automate the generation of room layouts, adapting precisely to user specifications and preferences. To propose optimized layouts, these tools consider various factors, including room dimensions, natural light, and functional requirements. This improves spatial efficiency and enhances the environment’s overall functionality and aesthetic appeal, enabling designers to evaluate multiple configurations and make data-driven decisions quickly.

Autodesk’s Project Refinery allows designers to explore numerous layout scenarios swiftly, enhancing their ability to make informed decisions. Designers can set specific objectives, like optimizing for natural light or facilitating better flow within spaces, and the AI offers tailored solutions that meet these goals, dramatically speeding up the design process and improving outcomes.

 

Example 2: Personalized Style Recommendations

Utilizing AI, platforms can analyze a user’s past preferences and the latest design trends to offer highly personalized style recommendations. This application of AI significantly personalizes the design process, providing suggestions for furniture, fixtures, and finishes that align with the user’s tastes and existing decor, effectively reducing the time and effort spent scouting and selecting individual pieces.

Hutch employs AI to create a digital visualization of a user’s room, enabling the exploration of various styles and products in a virtual environment. This technology allows users to see how potential designs would look in their spaces, aiding in faster and more informed decision-making. By tailoring recommendations to personal tastes, Hutch helps users effortlessly align new designs with their aesthetics and preferences, enhancing the overall interior design experience.

 

Example 3: Virtual Reality Previews

By integrating AI with virtual reality, designers can provide an immersive experience, allowing clients to walk virtually through their designed spaces. This use of technology not only helps in visualizing the final product but also aids significantly in spatial planning, helping clients make decisions with a clear understanding of how design elements will look and feel in the actual space.

The IKEA Place app uses AI and AR to enable consumers to place virtual furniture in their living spaces. This approach helps customers visualize products in their homes, ensuring that the items fit in scale and style, significantly enhancing customer satisfaction and decision accuracy.

 

Related: Ways to Use AI to Improve UX 

 

Example 4: Smart Home Integration

AI is instrumental in merging interior design with smart home technology, creating spaces seamlessly integrating aesthetic elements with advanced technological functionalities. This integration includes automated systems for lighting, climate control, and entertainment, which are intuitively controlled to enhance overall living experiences.

For instance, Crestron’s systems are at the forefront of this integration, utilizing AI to customize the home’s operational systems according to the user’s habits and preferences. This adaptation allows for a higher level of personalization and efficiency, significantly enhancing the functionality and comfort of living spaces. Crestron’s AI-driven automation simplifies daily routines and ensures that the technological solutions enhance the design rather than detract from it, offering a sophisticated, cohesive living environment.

 

Example 5: Predictive Maintenance

AI is increasingly being utilized to predict the maintenance requirements of various building systems, such as electrical, plumbing, and appliances. This predictive capability is vital in commercial spaces, where functionality and aesthetics must align seamlessly. By analyzing data from these systems, AI can forecast potential failures and schedule maintenance before issues arise, significantly reducing downtime and associated costs.

A prime example of this application is in smart buildings, where AI monitors the performance and condition of systems like HVAC and lighting. Through continuous data analysis, AI identifies patterns that may indicate impending failures or maintenance needs, enabling proactive measures. This approach minimizes disruptions and extends the lifespan of essential systems, ensuring they operate efficiently and effectively for longer periods, thereby supporting sustainable building management practices.

 

Example 6: Sustainable Material Selection

AI plays a crucial role in helping designers select sustainable and appropriate materials for specific projects by analyzing environmental data and material properties. This technological assistance enables the creation of eco-friendly designs that maintain aesthetic appeal and functionality, aligning with the global movement toward sustainability in construction and design.

For example, Spacemaker AI leverages its analytical capabilities to carefully evaluate and compare the environmental effects of various building materials. This enables architects and designers to choose the most sustainable and efficient options, promoting environmentally responsible design practices. By using AI to make informed decisions about materials, designers contribute to environmental conservation and meet the growing demand for sustainable development in the industry.

 

Example 7: Enhanced Customer Service

AI-driven virtual assistants and chatbots significantly enhance customer service within the interior design industry by providing real-time, precise responses to client inquiries. This technology ensures seamless communication, increasing client engagement and satisfaction throughout the design process.

For instance, numerous interior design firms have integrated AI chatbots into their websites. These chatbots interact with clients efficiently, handling tasks such as answering FAQs, scheduling appointments, and providing updates on project progress. This level of interaction streamlines communication and boosts service efficiency, allowing designers to maintain a high level of customer service while focusing on the creative aspects of their projects.

 

Related: How Can AI Be Used in Recruitment?

 

Example 8: Efficient Inventory Management

AI applications significantly enhance inventory management in the interior design sector by accurately predicting stock requirements, optimizing storage solutions, and automating restocking procedures. This advanced approach ensures materials are readily available when needed, minimizes waste, and manages costs more effectively.

A practical example of this technology in action is Foyr Neo, an AI-powered platform that monitors and manages inventory for design projects. By predicting material needs and automatically ordering new supplies as stock levels diminish, Foyr Neo mitigates the risk of project delays caused by shortage of materials. This capability not only streamlines project management but also aids in maintaining strict budget control, ensuring projects proceed smoothly without unexpected financial overruns.

 

Example 9: Trend Analysis and Forecasting

AI tools play a crucial role in interior design by analyzing large volumes of data on market trends and consumer preferences. This deep analysis enables designers to identify and integrate emerging trends into their projects, keeping them ahead in a competitive landscape by adopting innovative approaches.

For example, WGSN, a leading trend forecasting agency, utilizes AI to monitor and interpret global trends across different industries. This technology equips designers with actionable insights into future color, material, and style preferences, allowing them to make well-informed and strategic design decisions. By predicting upcoming trends, designers can create spaces that are aesthetically pleasing and resonate well with contemporary consumer tastes and expectations.

 

Example 10: Color Matching and Selection

AI significantly enhances the color selection process in interior design by analyzing existing elements within a space and recommending complementary color schemes. This technology is essential for achieving color harmony and coherence, enabling designers and clients to make confident and informed color choices.

A practical application is seen with Benjamin Moore’s Color Capture app, which utilizes AI to analyze colors from photographs and match them to its extensive paint library. This allows designers and homeowners to quickly and accurately find paint colors that match or complement objects already in their environments, streamlining the color selection process and ensuring a cohesive design aesthetic.

 

Conclusion

As we have seen, AI’s role in interior design is innovative and instrumental in forging paths to new design paradigms. These ten examples underscore the versatility of AI in enhancing creativity, efficiency, and personalization in interior spaces. The synergy between AI and design professionals is crafting environments that are aesthetically pleasing, smart, and adaptive to user needs. The continued integration of AI in interior design promises to democratize high-quality design, making it more attainable and tailored to everyone’s unique lifestyle. As designers and technologists further this collaboration, the possibilities for what can be achieved are as limitless as our imagination.