Why marketplace product card design consumes so much time
I regularly speak with sellers from various e-commerce communities and designers who produce product cards at scale. Their main pain point is the disproportionate amount of time spent packaging a single SKU. The figures they share are thought-provoking.
Creating one high-quality product card (5–6 slides) takes a designer 6 to 8 hours. Let’s break down this process to see where the time goes:
Brief and references. Discussing the design, searching for ideas and examples — at least 1 hour.
Photo processing. Even if AI-generated photos are used, it’s not a cure-all. AI photo sessions often produce artifacts: unnatural shadows, distorted product textures, or strange proportions. Designers spend 1.5–2 hours manually retouching images in Photoshop to ensure the product looks authentic.
Infographic creation. This is the most time-consuming stage. It’s not just about adding text; you need to convey key messages: highlight unique selling points, select icons and fonts, and arrange the layout according to platform rules. This takes another 2–3 hours.
In total, packaging a single product takes nearly a full workday. What if your catalog has 50 or 100 items? Using this approach means deliberately slowing down your business.
AI tools for marketplaces: from experiments to practical solutions
The market quickly responded to this challenge. A few years ago, sellers tried assembling cards from images generated by general-purpose AI tools. Today, the situation has changed. Specialized solutions have emerged — AI systems designed specifically for creating marketplace product cards. These are no longer just image generators but entire workflows that understand e-commerce logic.
Modern algorithms analyze the niche, know which color accents convert best in categories like “Home & Garden” or “Electronics,” and automatically layout slides. Marketplace product cards created with AI are now built as cohesive sales products, not just sets of disjointed images.
Try the AI tool for marketplaces for free, no credit card requiredHow Aidentika is transforming the approach to product card design
One of the most prominent examples of such specialized solutions is the service Aidentika (or simply Aidentika). This is not just another background generator but a full-scale visual content factory for marketplaces. Here’s how you can create a high-converting product card in three simple clicks:
How does the Aidentika AI work in practice? The entire process is built on automating routine tasks:
Product upload. You upload a standard product photo, even if it’s not on a white background. The AI automatically identifies the object, its material (glass, metal, fabric), and category.
Contextual scene generation. The algorithm doesn’t just insert a pretty background; it creates a physically accurate environment. For example, for premium tea, the AI will build a tea room interior with correct lighting on the packaging and steam rising from the cup. A dress can be placed on a white background, shown on a model, or laid out on the floor surrounded by accessories.
Automatic infographics. This is a key feature. You enter a few USP points: “keeps heat for 12 hours,” “gift packaging,” “eco-friendly material.” The neural network decides which point goes on which slide, selects icons and fonts, and places accents without obscuring the product. The system adheres to standard marketplace moderation rules, ensuring your listings pass review.
Designing marketplace listings transforms from a creative struggle into a streamlined, fast process.
Create a listing in Aidentika for free7 ways to reduce time spent on listing design
Based on the experience of top sellers and the capabilities of modern AI tools, I have compiled seven specific steps to drastically speed up the process.
Switch to specialized AI platforms. Forget about general-purpose generators for final layouts. Use e-commerce-focused services like Aidentika, which provide ready-to-upload infographics, saving hours of layout work in Figma or Photoshop.
Automate scene creation. Don’t waste time organizing product photoshoots or lengthy retouching. Upload photos of your product on a white background and let the AI embed it into a compelling lifestyle scene. This reduces the visual context workflow from days to minutes.
Create a library of messages. Pre-write and organize USPs for all product categories. When it’s time to design listings, you won’t need to invent text each time—just select the necessary points from your prepared list.
Work with catalogs in batches. Neural networks scale excellently. Upload dozens of products at once, applying a unified brand style. This ensures consistency across your store and saves significant time on individual style selection for each SKU.
Use AI upscalers instead of micro-retouching. If the source product photo is low quality, don’t draw details manually. Modern neural network upscalers increase resolution and add realistic textures in seconds, maintaining a natural look.
Delegate A/B testing to algorithms. Don’t argue with your team about which listing variant is better. Generate 3–4 options with different accents in the neural network and run them in parallel tests. This allows you to test hypotheses with minimal time investment.
Focus on analytics, not decoration. Invest the freed-up time not in embellishments, but in studying competitors and search results. The neural network will make the listing visually appealing, but only you can find the messages that will resonate with your audience.
How much time is needed to create a product listing with and without AI
Let’s calculate. Suppose you need to create 5–6 slides for five new products.
Classic approach (designer + Photoshop):
6 hours per listing × 5 products = 30 hours. That’s nearly four full working days, excluding revisions and approvals.
Working with professional AI tools like Aidentika:
It takes about 15 minutes per product: upload photos, enter key points, and start generation. 15 minutes × 5 products = 1 hour 15 minutes.
That’s a time saving of more than 90%! In 2026, when you need to constantly update your assortment and quickly test hypotheses, such speed is not just an advantage—it’s a necessity for staying competitive.
Frequently asked questions about AI for online marketplaces
Will neural networks replace designers in 2026?
No, but they will change the designer’s role. The designer stops being a performer of routine tasks (background removal, font selection) and becomes an art director. Their job is strategy, quality control of AI output, and formulating the strong unique selling propositions that the neural network will turn into visuals.
Can AI for creating product cards handle complex objects (such as jewelry)?
Modern algorithms, such as those in Aidentika, are trained to recognize materials. They correctly handle reflections on metal, light refraction in glass, and fabric textures. This allows generating scenes where the product looks natural, without rough artifacts that would deter buyers.
Do you need to learn how to write complex prompts to design product cards using AI?
In specialized services for online marketplaces—no. You don’t need prompt engineering skills. It’s enough to describe the product’s benefits in plain language: “gentle skin care,” “folding mechanism,” “includes 3 nozzles.” The neural network will translate this into visual language itself.
Do major marketplaces accept product cards created by neural networks?
Yes, in 2026 marketplace moderation is tolerant of AI-generated content. The key requirement is that the image matches the actual product and does not contain misleading information. Services like Aidentika comply with these rules from the start, minimizing the risk of rejection.