AI Product Design Tools: Top Guide for Merchants (2026)

AI product design can help bring real-life products—both digital and physical—to life. It can distill large data sets to find trending products and define your target audience. Once you nail the idea, it can even create mockups and test your prototypes to make sure it’s as good as it can be before you manufacture. 

After all, product design is a lengthy and complex job. From finding the right idea to prototyping and product testing, it helps to speed up manual steps in the design process with the assistance of artificial intelligence (AI).

Here’s an overview of the new field of AI product design, plus a look at a few specific tools in today’s AI product design space.

What is AI product design?

Artificial intelligence (AI) product design is the integration of AI into the product design process. It can help generate design ideas, make prototypes, analyze user feedback, create mockups, and personalize website copy to sell a product online.

A recent Shopify Merchant Survey* found 75% of business owners use AI tools, most commonly for content generation. Speed and accessibility are driving a lot of the AI tool adoption. Artificial intelligence can do manual tasks within a matter of seconds, and there’s a wealth of free or low-cost AI applications and platforms to test. That said, AI is designed to accelerate—not replace—human creativity and judgement. There are practical limitations of using AI for product design, like the inclusion of bias and chance of error. Always use your own judgement before pushing forward with any AI designs. 

Ways AI is used in product design

The integration of AI-powered tools into a human creative process like design might be a frightening prospect, but these product design AI algorithms are not replacing product designers. Rather, human designers can consider integrating AI to help them make data-driven decisions, foregoing choices based on instinct or opinions.

Using AI, designers can optimize nearly all aspects of the product design process, from gleaning valuable insights from vast amounts of user data to conducting virtual prototype tests. Here are some ways AI product design is enabling designers to work more efficiently:

Idea generation

By analyzing vast amounts of data including commerce trends, user behavior, and competitor products, generative AI (GenAI) tools can suggest new design concepts and ideas, allowing designers to quickly evaluate and refine new product designs.

For example, you could input guidelines into a specialized product design AI tool and ask for specific prototype ideas, or you could ask a generalist tool like ChatGPT to provide broader product design inspiration. You could also ask an AI text tool to help you think of website copy ideas.

Tip: Nielsen Norman Group found longer AI prompts with clear, detailed requirements consistently yield better results. Be specific in your AI prompt—it can take trial and error to find out which prompts get the best output. Here are two examples, one with a broad description, the other more specific: 

A:“Give me some trending home product ideas from TikTok.”

B: “Find 5 product ideas currently gaining traction on TikTok in the home gadgets niche. Focus on products that are promoted by creators, solve a problem, and are likely to have longevity once the trend dies down.”

Prototyping

Prototyping is a lengthy and expensive process. Traditionally, you’d design a mockup, send it to a supplier, and generate a minimum viable product (MVP). Any changes to the design meant you’d have to restart the process. 

AI product design tools can quickly create a digital prototype for your idea, whether that’s a: 

• 2D design mockup
• 3D model
• Product packaging design
• Wireframe for your website’s homepage 
• Product page mockup

You can then edit this AI prototype yourself or share it with your team for iteration. These prototypes allow you to alter individual design elements before you start building your product, saving time across your entire product team.

Product testing

You might have the best new product idea, but if it doesn’t solve the problem you intended, it won’t be as successful as it could be. 

“Really early on, we probably launched products too early—which was kind of heartbreaking to go through as well, because you do get that feedback,” says Julia Kay, co-founder of Great Wrap, in a Shopify Masters interview. “If your product’s not 100% there, it’s really rough, and there’s obviously a mental toll that that takes, [because] your products feel like your child to a certain extent." 

AI can simulate real-world usage scenarios, allowing you to save time and reduce costs associated with building and testing physical prototypes. This virtual testing can highlight potential design flaws and user pain points, and designers can then use this information to fine-tune their products, before the product launch.

See this in practice with the design of a new water bottle created for gym-goers. AI product design tools might test the 3D render. It thinks the size of the handle will be uncomfortable for people with smaller hands, so you edit the prototype to create a larger handle. 

💡Tip: Use the Shopify SimGym app to simulate shopper behavior with AI. It uses data from billions of purchases to give actionable suggestions to improve your storefront before going live. 

Enhancing user research

AI can efficiently analyze large volumes of user feedback—like survey answers and reviews—to identify patterns and trends. It saves product designers the time it takes to manually parse through this information. 

AI market research tools help you:

• Identify your primary audience’s pain points
• Understand how customers shop for your product
• Sense-check any assumptions you’ve made 

AI can also understand natural language (you can see this technology at work in AI-powered voice assistants, for example), meaning that AI customer feedback tools can interpret qualitative feedback like comments. Product designers can then use this organized user behavior data to make informed decisions about their products.

Customized user experiences

By leveraging AI, product designers can use predictive customer analytics to make personalized iterations of the same product. 

Think about the music streaming platform Spotify, for example. The company offers an AI-powered playlist generator that analyzes each user’s listening activity to create playlists with personally tailored song choices. The software isn’t creating new product designs for every listener; instead, Spotify’s AI-powered playlist product uses AI to customize the same product.

Apply the same concept when selling online. Use artificial intelligence to offer personalized experiences like:

• Tailored product recommendations
• Personalized promotions and discounts
• Social proof from customers similar to the website visitor
• Personalized bundles and cross-sells
• Cart recovery emails

Content generation

Creating punchy copy is tricky, and to make it even harder, you’ll want to make sure you maintain a brand consistency with copy that resonates with your target audience across all the different elements of your product. 

“We have hundreds of products, and I can tell you if you’re a new store owner, or especially if you’ve been in the industry for a while, if you add a whole suite of new products and you have to add product descriptions: the first couple’s cool,” explains Mikey Moran, CEO of Private Label, in a Shopify Masters interview. 

“You’re all hyped up and excited. Then you’ll notice the creative process in your brain and the words all start becoming the same. It becomes very very difficult to stay creative for a long period of time.”

Content generation is the most common way merchants use AI tools (69%), followed by marketing initiatives (38%).* That’s because AI content creation tools like Shopify Magic help you:

• Write product descriptions
• Suggest headlines 
• Craft call-to-action copy 
• Draft email subject lines
• Answer customer FAQs
• Translate website copy

“I use Shopify Magic to write product descriptions by inputting desirable keywords for SEO,” says Kwame Chambers, CEO and co-founder of Glitch Anomaly. “It gives me the ability to work more efficiently and save costs. … It’s a game changer.”

Limitations and challenges of using AI in product design

Artificial intelligence is a powerful tool to use when designing new products. It can do the heavy lifting when brainstorming ideas, creating prototypes, and producing content—but there are challenges that impact the end result.

Main limitations of using AI for product design include: 

• Prompt quality. AI’s output is only as good as the prompt you feed it. It takes time to test prompt styles and write detailed instructions that yield the answers you want. 
• Learning curve. The options of what you can create with AI are endless. It’s why among merchants who don’t use AI, 29% say they aren’t sure what AI tools can do and 29% don’t know where to start, according to a 2025 Shopify Merchant Survey.* Most tools also have a learning curve—you’ll need to experiment to become proficient. 
• Human oversight is required. Artificial intelligence is great for doing manual work and repetitive tasks, but it’s not foolproof. It makes mistakes. It has bias. It doesn’t have the real-world experiences you’re bringing into product design.
  
  

💡Tip: Treat AI tools as assistants, not autonomous creators. Give the tool a great prompt and sense-check what it gives you, tying in your own real-world experiences and creativity to give your product design an edge. 

Best AI product design tools

A host of AI tools can assist product designers in several ways. Whether you’re interested in leveraging AI to start your design process from scratch or a professional product designer looking to speed up your work, there are powerful design AI tools to help you get started.

Image generation tools

Image generation is one of the easiest ways to start using AI for product design. Here are three tools to try.

Canva Magic Design

Canva Magic Design is a GenAI feature baked into Canva’s comprehensive suite of graphic design tools. Use it to create videos to promote your new product, standout images to share in social media posts, and presentations to share your idea. You can also add your style guide into the Magic Design tool to keep images on brand. 

Pricing: Magic Design is included in a Canva Pro plan, which starts at $12.99 per month. 

Midjourney

Midjourney is an advanced generative AI tool that uses machine learning algorithms to create artwork based on your prompt. You can provide it with reference images and parameters—for example, “use an aspect ratio suitable for an Instagram post”—to tailor the AI images you get. 

Pricing: Midjourney operates through Discord (free), but you’ll need a paid subscription to use the AI tool. Plans start at $10 per month. 

Dall-E

Dall-E is the AI image generator created by OpenAI, the creators of ChatGPT. Feed it a prompt to receive an AI-generated image, then use follow up prompts to fine tune and modify the image until you get what you need.

Pricing: Free through ChatGPT with daily limitations. For higher limits, you’ll need a ChatGPT Plus subscription, which starts at $20 per month. 

🧠Learn: The 9 Best DALL-E Prompts for Ecommerce Businesses

Prototyping and UI tools

Want to create a prototype of your product before it gets manufactured? Here are three AI design generators to assist.

Uizard 

Uizard is an AI-powered tool that converts ideas and wireframes (digital product sketches) into user experience (UX) and user interface (UI) designs. The tool helps designers go from an initial concept to an editable prototype in minutes, significantly reducing the time spent on early-stage product design development.

Say you’re drafting a new web design for your ecommerce site. Instead of holding multiple team meetings to discuss prospective site designs in theoretical terms, you can feed an idea into Uizard and receive a tangible prototype for your team to evaluate and edit. This can be a game changer for product designers facing tight deadlines.

Pricing: There’s a free plan with limited capabilities. Paid plans start at $12 per month.

Figma

Design tool Figma has a built-in AI prototyping feature to put your idea into a tangible illustration. Tell the generator what you want to make—for example, a landing page to communicate the unique selling point of your new product to a particular audience—and have the AI tool create the first iteration for you.

Pricing: Free plan available. Premium tiers start at $5 per month. 

Framer 

The website builder Framer offers an AI language tool that can translate your text for different audiences, helping you personalize your product for different users. The tool can also generate and polish your text, helping you create punchy copy that resonates with readers.

Pricing: There’s a free plan with limited capabilities. Paid plans start at $5 per month.

Content and brand tools

Outsourcing the heavy lifting of content creation is a great way to start experimenting with AI for product design. These product branding tools can help you get started:

Shopify Magic

Shopify Magic is a set of AI tools built into Shopify that make it quicker and easier to grow your business. With it, you can:

• Write product descriptions 
• Test email subject lines
• Draft email marketing campaigns
• Remove product backgrounds
• Write personalized responses to chatbot queries 

“We have used Shopify Magic a few times for our product descriptions, and I was surprised by how well it works,” says Sarah Wajda, digital marketing manager at District for Kids. “Shopify Magic has exceeded my expectations.”

Pricing: Included in all Shopify plans, which start at $29 per month. 

Adobe Firefly

Adobe Generative AI is integrated across Adobe’s suite of products, and it can do a lot. One of its AI tools, Firefly, can help you generate high-quality on-brand images. It can also generate variants and help you scale AI-generated content.

Pricing: Included in Adobe Creative Cloud All Apps subscription; other lower tier plans available. 

Khroma

Color is a key part of any brand. It can influence how people feel when they see your brand, but choosing the right brand colors can be difficult. Khroma is designed to help. It uses AI to learn which colors you like, and presents you with a range of palettes and color combinations to try. 

Pricing: Free version available.

How to get started with AI product design

Implementing a new AI tool is no small feat. From finding the right platform to deciding which product design tasks to outsource, a systemized process lets you hit the ground running and get the outputs you want. 

Here’s an AI implementation strategy to follow:

1. Identify your needs

The top benefits merchants recognize from AI tools are saving time on repetitive tasks (55%) and brainstorming new ideas (55%).* For product design, in particular, the main priority might be speeding up prototyping or analyzing large data sets for market research. 

2. Explore AI tools

Now that you know what you want to do, find an AI tool capable of helping. Some solutions are clear cut—for example, Shopify Magic to write product descriptions with AI. Others might require trial and error of different platforms until you find one that suits your budget, use case, and usability preferences.

3. Define your AI prompts

It can take time to learn how an AI product design tool works. Experiment with prompt styles until you figure out what the system best responds to.

4. Add in a human layer

AI is great, but not foolproof. Sense-check anything it generates and layer in your own experiences, opinions, creativity, and skills before using its output. 

5. Evaluate success

Compare the results from your AI product development strategy to what you’d have achieved without them. Did it let you iterate faster and create an MVP? Was it easier to collect market research? More cost-effective to do product testing? Evaluate what you’ve learned during experimentation and make tweaks for how you’ll improve going forward.

*Based on a 2025 survey of 500 Shopify merchants conducted in English across Australia, Canada, the United Kingdom, Ireland, New Zealand, and the United States. Respondents were established merchants with two or more years on the platform. Results reflect the experiences of this specific sample and may not be representative of all merchants.