We replaced slow, manual mockup creation with an automated pipeline that generates product-ready visuals from customer inputs in minutes—consistent, brand-locked, and scalable.
Client
Jair Print
Duration
3–5 weeks
When
2025-11-01
Turnaround time
2–6 min
From request → product-ready export
Manual work reduced
70–85%
Less hand-editing + fewer back-and-forths
Output consistency
95%+
Brand-locked layouts + template rules
Jair Print sells customized products where each order needs visuals: previews, mockups, and print-ready images. The problem wasn’t creativity—it was throughput.
When demand spiked, manual mockup work became the bottleneck. Small changes (name, color, style) meant repeated edits, inconsistent results, and slower delivery.
Mockups took too long to produce, which slowed down order confirmation and created unnecessary email chains.
Quality depended on who created the mockup—fonts drifted, spacing varied, and “almost right” outputs still required manual correction.
We built an automated image generation pipeline designed for print ecommerce: customers select a product + options, the system generates the exact layout using locked templates, then produces clean exports (preview + production files).
Instead of relying on a generic image prompt, we used a hybrid approach: template rules + model-assisted generation + QA gates, so outputs stay predictable and sellable.
Each product type has a template definition (safe areas, font rules, alignment, background, logo constraints). Customer inputs are validated first.
A job runner generates the render: it applies the template, generates/places visual elements, exports multiple sizes, and stores results with traceable metadata.
We added QA gates: resolution checks, safe-area checks, contrast validation, and template consistency checks. If something fails, the system re-renders with adjusted parameters or flags the job for review.
This removed the ‘random’ feeling of AI output and turned it into a predictable production tool.
The pipeline reduced mockup turnaround from hours to minutes and made outputs consistent across product lines.
Most importantly: the business could scale order volume without hiring more designers for repetitive work.
A larger product catalog becomes feasible because each new product is ‘template-first’ instead of ‘designer-first’.
The same engine can power personalization at scale: seasonal styles, bundles, and upsell variants—without redesigning from scratch.
If your team spends hours creating repetitive product visuals, we can turn it into a predictable system: templates, QA, and a production-grade workflow.
