Video Post-Production

AI-generated visuals are everywhere right now. Scroll through Facebook, TikTok, Instagram (even walk past a storefront), and chances are you’ll see them. But for e-commerce brands, the conversation has moved past what AI can create and toward what it can realistically support in day-to-day content production.

When you’re managing large product catalogs, tight launch calendars, multiple markets, and brand guidelines, AI should not be just an experiment. It has the possibility to shift to an operational one. With the right tools and partners, AI can transform workflows and scale without creating more work behind the scenes.

TL;DR: AI tools for every stage of your e-commerce workflow

Not all AI tools do the same job. The key is knowing where they fit—and using the right ones at the right stage.

  • Ideation (shaping ideas & direction)
    • ChatGPT- refine concepts, messaging, and positioning
    • Gemini- expand ideas and explore new creative angles
  • Concepting & Moodboarding (making ideas visual)
    • Midjourney- cinematic, stylized visual exploration
    • FLUX- more realistic, product-focused visuals
  • Planning & Production (organizing the shoot)
    • Notion AI- turn ideas into shot lists, timelines, and briefs
  • Image Generation (creating visuals without a shoot)
    • Adobe Firefly- generate and edit visuals within design workflows
    • Botika- create AI fashion models for on-model imagery
    • Photoroom- fast product image editing and background generation
  • Production at Scale (generation + post-production)
    • Pixelz → combines AI generation (models, backgrounds, video) with expert retouching to deliver consistent, commerce-ready visuals

Ideation: Expanding Creative Thinking Before Production

Every campaign starts with an idea.

Maybe not a polished concept or finished moodboard, just a direction that needs a bit of defining. And if we’re honest, this early stage can be the messiest part of the process (we’ve all been there!). Notes are scattered. The vision feels right, but it’s hard to articulate. That’s where tools like ChatGPT and Gemini come in— aka your new brainstorming buddy.



Right now, they’re also two of the most widely used AI tools, largely because of the breadth of capabilities. They can do a lot, across many use cases (across industries even!). And that flexibility makes them a natural starting point for teams exploring AI. Chances are, you’ve already tested one/implemented it into your work. For many brands, they’ve become the gateway into integrating AI into workflows.

Applied to e-commerce, they can help unpack positioning, explore campaign angles, refine product messaging, and pressure-test ideas before production begins. They bring just a bit of organization to creative chaos.

Sometimes you don’t necessarily need a final answer, just a bit of organization and structure. And at the ideation stage, that clarity can save time, budget, and unnecessary pivots later on.

Gemini

Gemini works best when the goal is expansion, not decision-making.

It’s especially useful in the earliest phase of ideation, when the questions are still broad: What could this campaign be? Is there a more unexpected way to position this product? Are we defaulting to something too safe?

Gemini helps widen the conversation. When teams feel stuck in predictable angles, it can surface alternative directions, new framing, and fresh themes that shift perspective.

Its strength is divergence, opening things up before narrowing them down.

Because of that, outputs can sometimes feel less structured or not immediately ready for execution. Ideas may need refinement before becoming clear briefs or production plans. But in early-stage creative thinking, that openness is often exactly what’s needed.

ChatGPT

If Gemini is the expansion chat, ChatGPT is the refining place.

During ideation, ChatGPT helps teams move from scattered notes to something more concrete. It can articulate campaign positioning clearly, outline early messaging routes, and even pressure-test concepts by pointing out gaps or inconsistencies. When stakeholders need alignment (not just inspiration), this is where it shows up.

Compared to Gemini, ChatGPT’s outputs tend to feel just a tad more structured and closer to execution.

The pitfall: If you start with nothing, you’ll often get something that feels like…nothing.

Because ChatGPT is trained to generate broadly useful responses, vague prompts tend to produce generalized answers. And those can sometimes feel flat or impersonal. If the input lacks specificity, the output can feel generic or even slightly inauthentic.

That’s why a good rule of thumb is not to treat it as the origin of the idea, but as a refiner of one. Come in with a rough concept, a direction, a tension you’re trying to resolve. The more context you give (tone, audience, constraints, goals), the more it can zero in and produce something more aligned.

Conceptualizing & Moodboarding

Once the idea is clear, it’s time to make it visible.

In the past, you might have turned to Pinterest or Instagram to gather visual inspiration. Now, you can plug that inspiration directly into AI tools to guide the results or describe your idea through prompts and see it take shape.

And this is exactly where tools like Midjourney and FLUX get their hype.

They’re incredibly good at visual exploration. You can experiment with lighting, environments, styling, and composition in minutes.

But are they built to handle hundreds of SKUs with perfect brand consistency? No. That’s not their lane.

But for building richer moodboards, testing creative direction, and pushing ideas further before production? They’re kind of magic.

Midjourney

Midjourney is known for its artistic, cinematic quality. It often produces rich colors, dramatic lighting, and slightly stylized compositions (even from relatively simple prompts).

For e-commerce teams, that makes it especially useful in early visual exploration. It’s strong at defining campaign tone, building elevated moodboards, and pushing creative direction beyond the expected. If you’re trying to visualize atmosphere or storytelling before committing to production, Midjourney helps bring that to life quickly.

Its limitation is precision. Fine product details, strict brand accuracy, or highly controlled outputs can sometimes be inconsistent. That’s why it works best as a conceptual tool rather than a final production engine.

FLUX

FLUX takes a slightly different approach. FLUX focuses more on realism and technical precision in mind; it tends to follow prompts closely and produce more grounded, near-photographic visuals (good for us in e-com!).

For product-focused teams, this is valuable. Textures, lighting, and proportions often feel more accurate and controlled. It’s also fast, which makes testing variations or refining visual direction efficient.

Because it offers greater flexibility, including open-weight models and API access, it can appeal to teams that want to integrate it into your moodboarding/concept process.

The tradeoff is that it may require more setup or technical understanding compared to Midjourney’s plug-and-play feel.

Organizing Your Shoot with Notion AI

Once the concept and visual direction are defined, the next step is organizing the practical side of the shoot: timelines, responsibilities, shot lists, and production notes. This is where tools like Notion AI can help bring structure to the planning process.

Inside a workspace like Notion, the AI assistant can summarize meeting notes, extract key decisions, and turn discussions into actionable task lists. For example, teams can drop raw meeting transcripts or brainstorming notes into a page and ask Notion AI to generate a shot list, outline production timelines, or create a checklist for the shoot day.

Notion AI can also help draft creative briefs, organize production documentation, and structure information across databases. Instead of manually translating conversations into action items, the AI can quickly surface next steps and help assign responsibilities across photographers, stylists, producers, and retouchers.

Because it works directly within the team’s planning workspace, Notion AI keeps shoot planning centralized, helping teams move from concept to a clear production plan faster and with fewer details falling through the cracks.

Skip the Shoot and Go Straight to Generation

If you’re ready to try generated imagery, AI tools and services are making it possible to produce campaign visuals, product imagery, and marketing assets without even stepping into a studio. For brands testing new creative directions or producing quick-turn content, this can unlock new flexibility in how visuals are created.

Tools like Adobe Firefly, Botika, and Photoroom are great examples of what this new generation of platforms can do.

Adobe Firefly

Adobe Firefly focuses on creative generation within the Adobe ecosystem. It allows teams to generate backgrounds, extend images beyond their original frame (Generative Expand), replace elements using text prompts, or create entirely new visuals from scratch. Because it’s integrated into tools like Photoshop, designers can experiment with campaign concepts, environments, and visual elements directly inside their existing design workflow.

Botika

Botika is built specifically for fashion and retail brands that want to generate AI fashion models. Brands upload product images and place garments onto photorealistic AI-generated models, allowing them to create on-model imagery without organizing traditional model shoots. The platform also allows teams to adjust model appearance, poses, and backgrounds, making it easier to generate variations of product visuals for different markets or campaigns.

Photoroom

Photoroom focuses on fast, accessible AI image editing for product visuals. Its tools can automatically remove backgrounds, generate new environments, add shadows and reflections, and create marketplace-ready product images in seconds. It’s widely used by e-commerce sellers who need to quickly produce product listings, social assets, or promotional visuals without complex editing workflows.

These tools are powerful and often impressive. They make it possible to generate visuals quickly, experiment with ideas, and produce one-off assets without the time and cost of traditional shoots.

But most of them stop at generation.

For many e-commerce teams, the real challenge begins after the image is created, whether it’s shot or generated. The visuals still need to match the brand: consistent lighting, clean backgrounds, and a look that fits the overall visual style. At the same time, the product has to stay true to life. Colors need to be accurate, sizing and proportions should look right, and textures and materials need to come through clearly. And before images go live across product pages, campaigns, and marketplaces, they still need go through proper post-production.

Generation and Post-Production with Pixelz

Rather than relying on separate tools for generation and post-production, Pixelz supports brands across both stages helping brands move from concept to finished asset in one process. Brands can generate visuals using AI Fashion Models, AI Backgrounds, Digital Twins, and Image-to-Video, and receive assets that are fully retouched and ready for e-commerce.

That end-to-end approach is what makes Pixelz different. We partner with brands to create imagery that feels true to their identity, while making sure every asset is refined, polished, and production-ready. Because AI-generated visuals still need expert retouching, Pixelz brings both parts together in one workflow.

At the same time, Pixelz also supports brands that already have images and videos shot traditionally and need high-quality, fast post-production. Using a hybrid production approach that combines AI technology with human retouchers, Pixelz helps teams scale their visual production while maintaining the quality and consistency that e-commerce requires.

This hybrid model allows AI to handle the repetitive and time-consuming parts of production, while human retouchers focus on product details, textures, and ensuring that brand standards are accurate.

With more than 15 years of experience in e-commerce post-production, Pixelz has built its services around high-volume content production. Whether brands need to generate new visuals or refine existing photography, Pixelz helps deliver consistent, commerce-ready assets at scale.

Final thoughts: Choosing for Your Brand.

Implementing AI into your workflow isn’t an easy one-and-done process. Some tools are great for exploration, others are better suited for experimentation, and a smaller group is actually built to support real e-commerce production at scale.

So, “Can AI generate images for e-commerce?” isn’t necessarily the right question (We already know it’s a definite yes!), but maybe ask “Where can AI take away painpoints?” is the better question. Whether that’s in the beginning stages of brainstorming or your post-production workflow, the right tool or service should simplify your life, not make it more complicated.

Want to learn more about our AI solutions or our AI-powered post-production? Get in touch with us here.