Who We Are

For a long time, Pixelz focused on one side of e-commerce content: post-production.

We stayed in our lane. We refined it, scaled it, and became good at it, and that hasn’t changed.

But as the market evolved, something else started to happen. E-commerce visuals began moving beyond traditional workflows and into content generation. With that shift came a lot of noise, fast experimentation, and big promises from every direction.

It was clear early on that this space needed more than novelty. It needed care, experience, and a real respect for the craft.

Because of our background in post-production, we understood the complexity behind scaling e-commerce content: the constraints, the edge cases, the realities teams deal with every day. That gave us a different vantage point. We weren’t looking at AI as a shortcut or a replacement, but as a tool that should work inside real e-commerce environments, with real teams and real standards.

So we got to work.

Not just experimenting, but building. Developing solutions built for e-commerce teams, designed to integrate into existing workflows rather than disrupt them. Over several years, we’ve been actively implementing and evolving a series of AI-generated products and solutions alongside our original S.A.W. platform. From AI Models and Digital Twins to Image to Video and a few more, each solution is built for scale, consistency, and quality.

AI Models

In April 2025, we launched AI Models, the first in our suite of AI-generated solutions.

AI Fashion Models (also known as virtual or synthetic models) allow brands to showcase their products on fully generated people. These are not photographed models, but digitally created ones, designed to look realistic, wear real products, and fit into your site.

Like many in the industry, we had been closely following (and quietly experimenting with) generative AI for some time. But behind the scenes, our focus was always on one critical question: how do you make this scalable, reliable, and e-commerce-ready? Anyone can generate an image, but generating a realistic human model, wearing real products, that still converts on the PDP? That felt nearly impossible in the early days.

But today, that’s exactly what Pixelz’s solution enables.

Use Cases

Now you might be wondering what’s possible with AI models. The short answer: a lot. And to help bring it to life, here are a few use cases to imagine.

Adding On-Model to Your PDP

Many brands already have extensive libraries of clean pack shots, flat lays, or ghost mannequin images. AI models make it possible to extend the value of these existing assets by transforming them into on-model, studio-style visuals.

Rather than organizing new photoshoots, brands can generate realistic model imagery directly from existing product photos. With just 1–5 flat-lay images, Pixelz can create an on-model studio shot, introducing scale, fit, and a more relatable presentation to PDPs that previously relied only on product-only imagery.

Adding Lifestyle to Your PDP

This is for brands that want to move beyond purely the traditional white background shot.

AI models enable the creation of lifestyle-leaning imagery that adds context. Brands can introduce variety, test new visual directions, and elevate storytelling across large catalogs without the cost, logistics, or long timelines.

Model Swap: Extending and Adapting On-Model Imagery

For many brands, on-model imagery is tied to specific casting decisions, usage rights, and specific spans of time. When rights expire, branding evolves, or new markets require different representation, updating visuals traditionally means going back into the studio.

AI models offer a more flexible way forward.

Brands can adapt existing imagery to introduce new on-model representation without reshooting. This can include:

• Replacing models when usage rights expire
• Updating visuals to reflect a branding shift
• Introducing different body types or demographics
• Creating additional variations of key products
• Localizing imagery for different regions

Instead of being tied to a single moment in time, brands can revisit and refine their visuals as they evolve, testing what works and adapting as they go.

Recommended For:

We recommend this solution for brands that currently have little to no on-model imagery but want to introduce models to their PDPs.

This includes brands that:

Lifestyle and Editorial Campaigns

Editorial and lifestyle campaigns are often where a brand’s identity comes to life. The setting, the atmosphere, the story, it all matters. But traditionally, bringing those worlds to life requires travel, location scouting, permits, weather luck, crew coordination, and tight scheduling. One delay can ripple through the entire production.

Digital Twins introduce a different kind of flexibility.

Instead of building a campaign around the logistics of a single shoot window, creative teams can build around the idea itself. A summer story can unfold on a Mediterranean coastline, without flying a team across Europe. A winter campaign can capture the feeling of fresh snowfall without the waiting and timing game for the forecast to cooperate. Multiple environments, lighting scenarios, or seasonal transitions can be explored without planning the entire shoot process.

This makes it easier to produce campaign-ready content, creative lookbooks, and seasonal storytelling in a way that feels expansive rather than constrained. Teams can test concepts, adapt quickly, and scale visuals across markets, all without the “all-or-nothing” pressure of a traditional shoot day.

The result isn’t just efficiency. It’s creative breathing room, the ability to think bigger, move faster, and maintain consistency across channels.

Rapid Iteration and Last-Minute Changes

Traditional shoots are expensive to revisit. If a product changes, a styling element is missed, or a creative direction shifts late in the process, reshooting can be impractical with time and budget on the line. Digital Twins enable faster regeneration and iteration, reducing risk and allowing teams to adjust output without restarting full process.

Extending the Value of a Model Relationship

When a model truly represents a brand well, that relationship becomes more than a booking; it becomes part of the brand’s visual identity.

Digital Twins allow brands to build on that continuity, extending a successful collaboration while expanding creative output in new ways. They can also offer flexibility in moments where real life introduces practical constraints. Children, for example, are limited by labor laws, energy levels, and the realities of working on set. An adult model may enter a new life phase: pregnancy, travel commitments, recovery, or simply scheduling conflicts. These aren’t obstacles; they’re part of being human.

A Digital Twin can help bridge those moments. It allows campaigns to move forward while respecting the model’s time, circumstances, and well-being, maintaining consistency without requiring someone to physically be present for every asset.

For models and agencies, this can also open up additional revenue opportunities. Under the right agreements, a Digital Twin can support multiple campaigns or content needs in parallel.

Exploring Creative Concepts Beyond Constraints

Digital Twins make it possible to test more imaginative, creative ideas, new settings, new moods, and more experimental storytelling, without being limited to what can be physically staged. In practice, the industry often uses Digital Twins to recreate “regular shoot” imagery; however, their full potential is in enabling content that would be difficult or costly to execute traditionally.

Recommended For:

Digital Twins are particularly well-suited for brands looking to create elevated editorial and lifestyle campaign imagery, especially when creative ambition exceeds logistical flexibility.

We recommend this solution for brands that:

• Want to produce lifestyle or campaign visuals without the constraints of travel, location scouting, and tight shoot schedules
• Need seasonal storytelling across multiple markets at the same time
• Are building a long-term visual identity around a specific model
• Require rapid iteration on campaign concepts or creative directions
• Want to expand content output

AI Image to Video

AI Image to Video launched in February 2026, making it the natural next step for Pixelz. For the first time, e-com our AI solutions could move beyond still images and into motion, extending across every visual asset on an e-commerce site.

It was built to address one of the most persistent challenges in e-commerce: how to scale video across the site.

We already know the impact video can have. It drives engagement, increases conversion, decreases returns and helps customers better understand fit, fabric movement, and product details. But traditional video requires studios, talent, equipment, editing, and approvals, making it difficult to scale beyond a handful of hero products.

Use Cases

And beyond our own process, we see real potential for how this can support teams in the future.

So let’s take a look at what that actually means in practice.

Scalable PDP Video

Adding videos to your PDP is not only a way to elevate your product pages, but also to increase conversions. It’s no secret that customers love seeing video because that motion improves product understanding.

With AI Image to Video, videos can be generated directly from existing product photography. Brands are no longer limited to producing video for select SKUs. Motion becomes scalable across categories.

Elevated Content

Lifestyle and editorial campaign videos are another area where AI Image to Video can have significant impact.

Traditionally, producing this type of content places a substantial burden on e-commerce teams. Planning, production, casting models, securing locations, coordinating schedules, and managing external factors such as weather all contribute to a process that is both costly and time-consuming.

Despite these challenges, lifestyle and editorial videos remain some of the most powerful tools for brand storytelling. Unlike standard product imagery, this content allows products to exist within a broader narrative and visual environment.

AI-powered video generation introduces a new level of flexibility in producing this type of content. From still images, brands can create dynamic video assets suitable for homepage headers, category banners, campaign landing pages, and social placements. Through expressive lighting, intentional camera movement, and a more cinematic visual style, static imagery can be transformed into engaging brand moments designed to capture attention and encourage exploration.

Recommended For:

Brands that have little to no video across their site, or want to start experimenting with lifestyle and editorial motion.

It’s especially relevant for teams that:

• Are you looking to add motion across product pages
• Work with large assortments where traditional video isn’t realistic
• Already have strong still imagery and want to get more out of it
• Need a consistent way to introduce video across categories, not just for hero products
• Care about performance, but don’t have the bandwidth for full-scale video operations

Seasonal Adaptation

Products can be placed into environments that reflect different seasons or campaign moments without requiring new photoshoots. A single studio image can be adapted for summer, holiday, or winter campaigns simply by updating the surrounding environment. This allows teams to keep visual content aligned with seasonal storytelling.

Refreshing Existing Product Imagery

As products remain online for longer periods, brands often look for ways to keep visual content feeling current. AI Backgrounds allow teams to revisit existing product imagery and introduce new colors, textures, lighting, environments, or creative contexts, giving assets a refreshed look.

A/B Testing Visual Direction

Brands can experiment with different visual approaches by generating multiple background styles for the same product image. For example, a minimalist studio environment can be compared with a more lifestyle-driven setting to understand how different visual treatments perform across PDPs, campaigns, or advertising channels.

Elevating and Expanding PDP Visuals

Standard packshots and ghost mannequin imagery remain essential for product clarity and consistency. AI Backgrounds can complement these assets by introducing contextual environments that add depth and lifestyle elements to product pages. This allows brands to expand the range of PDP imagery and create a more engaging visual experience while maintaining accurate product representation.

Recommended For:

AI Backgrounds are a strong fit for teams working with existing product imagery who want more flexibility in how that content is used over time.

They’re especially useful for:

• Brands with large libraries of studio or packshot imagery that could benefit from more variation
• Teams looking to adapt visuals to different seasons, campaigns, or markets without reshooting
• Workflows where speed and cost-efficiency matter, but visual freshness still needs to be maintained
• Brands interested in testing different visual directions without committing to full production
• PDPs that would benefit from a more contextual or lifestyle-driven layer alongside standard imagery

AI Product Tagging and Descriptions

Last, but certainly not least, we have AI Product Tagging and Descriptions. When you’re at the end of your workflow and preparing to go live, this step helps finalize your product listings automatically.

Using AI, the system scans your product images and identifies key attributes such as product type, color, material, pattern, fit, and other visual details. These attributes are automatically converted into structured product tags, which help organize your catalog and improve searchability.

From there, the AI uses those tags, along with any existing product data like brand guidelines, category, or tone of voice, to generate product descriptions tailored to your brand voice. This means each product receives a clear, consistent description without requiring manual copywriting.

Why Consider Generation?

We’ve spent a lot of time exploring what’s possible with Pixelz, and more broadly, what generation can unlock for e-commerce teams.

But stepping back, the shift isn’t just about new tools. It’s about what teams are up against.

Today, 55% of e-commerce professionals produce more than 25,000 images per year.

On the other side, consumer expectations are evolving just as fast. 68% of consumers prefer to see both images and video when shopping online, but at the same time, 95.2% say realness is important. And 79.2% of those consumers believe brands should disclose when imagery is AI-generated.

What this creates is a clear tension.

Brands are expected to produce more content, across more formats, faster than ever before, while still maintaining authenticity, consistency, and trust.

That’s where generation starts to make sense. Not as a replacement for all of your content, but as a way to extend them. A way to meet growing demand and to introduce new formats of content, to strengthen what you’re already doing.

Because the question is no longer whether teams need more content, but how to create it in a way that balances scale, consistency, and authenticity.

Why Pixelz?

With over 15 years in e-commerce and over a decade working with AI—long before it was mainstream—our approach has always combined real teams with the technology that makes it all possible.

Our generation solutions are not built in isolation. They are developed alongside our customers, shaped by real workflows, real constraints, and real use cases.

We co-create with teams to explore new possibilities, refine outputs, and ensure that what’s built actually works in practice, not just in theory.

Final Words

We hope this has helped demystify what AI looks like at Pixelz and offered a clearer perspective on where the industry is today.

This is just the beginning.

Our generation solutions continue to iterate and evolve, and what you’ve seen here represents the first chapters of that journey. There is more to come, and we’re glad to have you alongside us as we build it.