Marketplace Asset Platform
A European consumer products group was managing product content across brands, teams and marketplaces. We put in place an AI enabled production platform that turns approved photography, copy and brand elements into editable PDP and A+ assets, with review and export in one place.
A launch pack could spend weeks moving through briefing, production, review and revisions.
The team can produce and review a finished, on brand listing pack.
Desktop and mobile assets produced across two brands on the same system.
→ More assets. Faster changes. Less coordination around every launch.
The client manages hundreds of products, close to ten brands and 11 European markets. A single PDP or A+ module could move through brand, design, digital content, ecommerce and local market teams before it reached the marketplace.
The digital content team spent much of its time coordinating the work, explaining brand requirements and finding out what each team was doing. Internal resources handled part of the production, with external support helping with volume, which added more briefing and review. Changes based on sales performance often restarted the same conversations.
The result was consistent launch delays, fewer assets produced, higher production cost and teams spending too much of their capacity on communication rather than the content itself.
We put in place a shared production environment around the asset, and the AI does the heavy lifting inside it. It assembles each module from approved photography, copy and the brand’s own elements, prepares desktop and mobile versions and keeps every market version in sync.
Product inputs, brand rules, layouts, comments, approvals and launch status stay with the work itself. Teams see what needs attention and contribute directly, and people keep the brand and commercial decisions.
The outcome: on brand assets in every market, and changes driven by sales performance handled as quick edits rather than a new production round. The hours saved let the team focus on product launches and performance, and cover more products in the marketplace with less workload.
The team starts with the material it already has: product photography, approved copy and a reference for what the module should communicate. The system assembles the first version inside the brand and marketplace rules. The team can edit it directly, create desktop and mobile versions, review it and export the approved pack.
It reads the reference, understands the product and composition, isolates the source photography and assembles the module using the brand’s own elements. It does not generate the product.
Ideas + approved assets in. Editable module out.
Open image generation creates problems for product content. The product can change, results can vary and generated imagery may not be suitable for the marketplace. So we designed the engine differently.
Vision understands the reference. Segmentation isolates the product. Similarity matching finds the right brand elements. Layout logic places them. Every model works inside the same boundaries: approved source imagery, the brand library, marketplace safe areas and fixed production rules. Each model operates within defined inputs, brand rules and production boundaries.
Projects, launch dates, assets, comments, approvals and logs live in the same system. The comment stays with the asset. The decision stays with the version. Each team can see what is waiting, what changed and what needs attention next.
The result is not simply faster asset creation. It is clearer coordination around the work.
Approved modules can become templates. Accepted corrections become useful memory. The approved brand library remains the source as more products and teams use the system.
We also evaluate the system against the client’s approved work after deployment. That makes drift visible and lets us measure whether model or architecture changes actually improve the production system.
Once assets, layouts, decisions and brand elements live in a structured system, previous work becomes useful input for what comes next.
Teams can reuse proven layouts, find relevant brand elements and start from approved work rather than rebuilding the same decisions for every product.
Identify product areas, visual patterns, callout opportunities, and asset types.
Connect approved images to claims, product categories, features, and brand decisions.
Help teams find relevant past assets, layouts, and examples before creating something new.
Only validated work becomes reusable context for future production.
Bring one production process, system or AI idea. We’ll look at where intelligence could help, what should remain explicit, and what a useful first system could look like.
One use case at a time · Practical next stepRelevant for manufacturers launching across markets, e-commerce teams managing marketplace content, and brands coordinating agencies or internal reviewers.