
RushOrderTees streamlines custom apparel with smarter image workflows
RushOrderTees transformed a complex, image-heavy shopping experience into a faster, clearer journey that helps customers design with confidence while keeping internal teams focused on higher-value work.
the customer
A high-volume custom apparel leader
RushOrderTees is one of the largest custom apparel companies in the U.S., serving hundreds of thousands of customers every year online. From corporate swag and team uniforms to one-off passion projects, customers rely on the site to upload artwork, customize products, and approve mockups quickly and confidently.
Behind the scenes, the company manages:
- 3,000+ products and variations
- A massive catalog of product images and mockups
- Thousands of new customer file uploads every day
In that environment, image performance is not just a design concern – it directly affects conversion rates, customer satisfaction, and the reliability of downstream production.
the challenge
Making custom design feel effortless
RushOrderTees needed to create a smoother custom-apparel experience at a scale where thousands of customers upload artwork daily. The team faced slow product detail pages, inconsistent customer-uploaded files, and increasing strain on internal systems.
Heavy image payloads slowed mobile shoppers, while unpredictable uploads led to unclear mockups and more support inquiries. Meanwhile, manual transformation tasks stretched art and production teams.
The company needed a way to keep browsing fast, make previews more trustworthy, and reduce operational friction across support, sales, and creative workflows – all without expanding infrastructure.
They faced challenges including:
- Slow performance on product detail pages for mobile and peak traffic
- Unpredictable artwork quality causing confusion
- Growing load on storage, rendering, and bandwidth
- Manual transformation work for art and production teams
the solution
A smarter image pipeline for shoppers and teams
RushOrderTees partnered with Imgix to unify how images are rendered, optimized, and delivered across the entire customer journey. By shifting processing into a dynamic, URL-based workflow, the team now serves responsive product imagery, standardized customer uploads, and clean mockup previews without relying on heavy internal systems.
Customer-submitted files are safely resized, sharpened, and converted into consistent formats, while on-page warnings help prevent low-quality prints. Production and support teams benefit from predictable image behavior, easier diagnostics, and fewer manual fixes. With rendering offloaded upstream, infrastructure remains stable even as order volume grows.
The solution enabled:
- Faster, device-aware product photography
- Standardized previews for customer-uploaded artwork
- Automated cleanup and quality checks
- Scalable delivery without expanding backend system
the results
Faster pages, fewer questions, stronger margins
RushOrderTees now delivers a clearer, smoother buying experience while reducing repetitive work internally. Product pages load significantly faster, customer confusion has dropped, and manual transformation tasks have been offloaded, giving teams more time for higher-value work. The improvements strengthen both customer satisfaction and day-to-day operational reliability.
Measurable impact appeared in:
- 15% lower bounce on top-selling categories
- 32% fewer artwork-related support questions
- 65% of transformation jobs offloaded
- 48% faster product page performance
Looking ahead: Scaling creativity with confidence
RushOrderTees has built a visual foundation that supports both rapid growth and a demanding custom workflow. By connecting a smarter image pipeline to its design tools, product pages, and production systems, the company gives customers a smoother path from idea to finished apparel.
As order volumes grow and new product lines launch, the team can focus on what matters most – helping people bring their designs to life quickly, clearly, and confidently – knowing their imagery will keep up.



