Insight9 March 2026
How Visual AI is transforming visual content production for retailers and brands
Brands are moving faster than ever. New collections, seasonal campaigns, additional channels, and the list goes on. But how do you keep your visual content up to speed when everything is constantly in motion?
Bart Vandeweerdt
Table of contents
0 min read
A new reality for retailers
Retail design in 2026 revolves around flexibility and continuous renewal. Professor Katelijn Quartier of the Retail Design Lab at UHasselt recently put it succinctly in RetailDetail: "Stores can no longer afford to overhaul everything every seven years." Instead, we see modular concepts emerging where retailers refresh smaller zones in a continuous flow of updates.
That shift towards flexibility doesn't stop at the physical store layout but extends to every digital touchpoint with the customer: from e-commerce and social media to digital displays on the shop floor. And that's exactly where things get challenging. Because while retailers want to respond to trends and seasons faster than ever, their visual content production often remains a bottleneck.
The problem with traditional product photography
Retailers and wholesalers need thousands of product images. Think e-commerce platforms, PIM systems, social media campaigns, printed catalogues and brochures, digital displays and in-store screens. Traditional photoshoots are too slow, too expensive and too difficult to scale for these demands.
Launching a new collection means weeks of planning, booking studios, casting models, and then more weeks of retouching. By the time the images are ready, the momentum has sometimes already passed. And that's before you even consider the variations: seasonal contexts, lifestyle imagery, different backgrounds per channel. Per product, this can quickly add up to dozens of visual assets.
Why off-the-shelf AI tools fall short
Many companies are now experimenting with tools like ChatGPT, Midjourney or other generative AI platforms for their visual content. At first glance it seems like a quick fix, but in practice they quickly run into the same limitations.
Closed source AI models offer limited control over the end result. Output is difficult to steer towards specific brand guidelines. Quality standards and consistency are rarely achieved, especially when you need hundreds or thousands of images that all need to be coherent. On top of that, repeatability is missing: consistently producing the same quality, exactly to the brand's specifications, is a constant gamble with generic tools. And perhaps the biggest problem: the images get you 90% of the way there, but that final 10% (the details that make the difference between generic and convincing) remains out of reach.
Our approach: Visual AI with hyper-realistic pipelines
At Buzzworks, we take a fundamentally different approach. Through our innovation studio Glitchi, we develop custom Visual AI pipelines that do meet the quality standards of professional product photography.
How, you ask? By working with open source AI models that we train on the specific visual assets of our clients, combined with their unique requirements, brand knowledge and expertise. This gives maximum control, transparency and adaptability. We build multi-step pipelines where different AI models and algorithms work together, with built-in QA gates tailored to the client's specific business processes.
In practice, this translates into two powerful applications:
Hyper-realistic reuse of existing photo material. Say you have an existing collection of studio photos. Our pipelines automatically generate variations from them. Different colours, different contexts, different seasons. Reliable, repeatable and automated. For a leading Belgian fashion brand, we produced over 750 hyper-realistic images in just 10 weeks, from R&D to production. Including packshots and campaign images for a new collection, at very high resolutions and quality-checked on colour-calibrated screens.
Hyper-personalised product placement. Standard product photos remain generic and fail to create a personal connection. Our AI pipelines place products into the customer's personal context in a way that is indistinguishable from real photography. This is fundamentally different from the AR applications we all know by now: no visible digital overlay, but a result that looks entirely realistic. Think of a front door perfectly integrated into a photo of your own home, or a piece of furniture that appears seamlessly in your interior. Not as a floating 3D object, but as if it were actually there. From mass product to personal experience, without manual customisation.
Where this perfectly aligns with today's retail trends
The trends are clear. Retailers want to respond to change faster, offer more personalisation and translate their brand consistently to every touchpoint. Visual AI delivers on all three.
Speed and flexibility. Where a traditional shoot takes weeks, our pipelines process large volumes of visual content in a fraction of the time. The retail world is evolving towards smaller, more frequent updates rather than large periodic overhauls. The same logic applies to visual content: continuously adjust rather than rephotograph everything once per season.
Personalisation at scale. Consumers increasingly expect brands to address them personally. With hyper-personalised product placement, you deliver on that promise visually.
Consistency across all channels. Whether it's your webshop, your in-store kiosk, your social media or your printed catalogue: custom-trained models guarantee a consistent visual language that strengthens your brand identity. Exactly what retailers need in a world where the line between physical and digital continues to blur.
Cost reduction without compromising quality. Traditional product photography adds up quickly when you factor in studio, models, photographer and post-production. Our AI pipelines reduce that cost dramatically, while the quality is at least on par with traditional photography.
Who is this for?
Our Visual AI pipelines are particularly relevant for retailers and wholesalers with large product catalogues, fashion and lifestyle brands that need seasonal variations, and marketing and design agencies looking to produce faster and more efficiently for their clients.
Curious what Visual AI can do for your brand?
We'd love to show you. In a no-obligation demo, we'll demonstrate how our pipelines could work with your own visual assets and how we can take the quality, speed and scalability of your visual content to the next level.
Bart Vandeweerdt