Studio Atlas
Studio Atlas
Designing a new marketplace model to compete in the $34B commercial printing industry.
Designing a new marketplace model to compete in the $34B commercial printing industry.
Responsibility
Art & Design Direction
Company
Velin Studio
What I Worked On
Contribution
Branding Art & Design Direction Motion Web design
Challenges
Challenges
SUPPLY SIDE
Demand Surges Broke The Supply Chain
Demand Surges Broke The Supply Chain
Orders piled up, deadlines slipped, and customer satisfaction suffered. Expanding in-house was too slow and expensive, so we reimagined the operating model—building a network of print partners to scale capacity without adding infrastructure.
DEMAND SIDE
Ordering Print Was Time-Consuming and Confusing
Ordering Print Was Time-Consuming and Confusing
Customers often compare prices, turnaround times, and delivery options across a dozen sites—each with different specs and limitations. We simplified that experience with a KAYAK-inspired quoting system that brings customization, pricing, and delivery options into one easy interface—making complex print jobs effortless to order.
Solutions
Solutions
Supply System Design
Building a Scalable System to Manage, Track, and Complete Orders
Most printers used pen and paper. This vision digitizes the workflow and orchestrated logistics by dynamically routing jobs, order management, analytics, and last-mile courier integrations. The interface highlights revenue potential and analytics for GMs, and production data and logistics for operations managers.
From previous work optimizing the internal production workflow, automating workflow increased machine throughput by 30%. Providing suppliers with this innovation enables more profitable businesses and more reason to adopt the platform model.
UX Research
Prototyping
Strategic Roadmaps
Service Design
Design Systems
Go-To-Market
Building a Scalable System to Manage, Track, and Complete Orders
Most printers used pen and paper. This vision digitizes the workflow and orchestrated logistics by dynamically routing jobs, order management, analytics, and last-mile courier integrations. The interface highlights revenue potential and analytics for GMs, and production data and logistics for operations managers.
From previous work optimizing the internal production workflow, automating workflow increased machine throughput by 30%. Providing suppliers with this innovation enables more profitable businesses and more reason to adopt the platform model.
Built-In Demand Gen
Increasing Conversion Rates and AOVs With Quick, Simple Quotes
From previous work, we found that customers don’t want to fill out endless forms—they just want a rough estimate fast. We redesigned the discovery-to-quote flow to interpret search intent and cut the quoting process from 21 steps to 3.
Instead of confusing dropdowns, customization options are now visual—helping customers instantly see the difference between finishes and add-ons. The result: faster decisions, higher confidence, and larger order values.
UX Research
Prototyping
Strategic Roadmaps
Service Design
Design Systems
Go-To-Market
Increasing Conversion Rates and AOVs With Quick, Simple Quotes
From previous work, we found that customers don’t want to fill out endless forms—they just want a rough estimate fast. We redesigned the discovery-to-quote flow to interpret search intent and cut the quoting process from 21 steps to 3.
Instead of confusing dropdowns, customization options are now visual—helping customers instantly see the difference between finishes and add-ons. The result: faster decisions, higher confidence, and larger order values.
AI Enabled
Using AI to Fix Common Errors, Cutting Down Processing Time From Days to Seconds
Preparing a file for print is hard. And customers don't know how to fix common errors like low resolution or adding bleeds.
Using AI, the system interprets uploaded file, fixes it, and displays a preview. What took several days and back-and-forth emails now takes seconds. Good for customers, and great for suppliers who don't have to run pre-press tasks.
UX Research
Prototyping
Strategic Roadmaps
Service Design
Design Systems
Go-To-Market
Using AI to Fix Common Errors, Cutting Down Processing Time From Days to Seconds
Preparing a file for print is hard. And customers don't know how to fix common errors like low resolution or adding bleeds.
Using AI, the system interprets uploaded file, fixes it, and displays a preview. What took several days and back-and-forth emails now takes seconds. Good for customers, and great for suppliers who don't have to run pre-press tasks.
My Approach
My Approach
Created a service design blueprint:
Mapped out the end-to-end flow and focused on key parts of the experience.
Used data to prioritize work:
Focused what drove the most revenue for consumers and efficiency for suppliers.
Leveraged a design system:
Used a React component library to speed up development.
Prototyped using code:
Built apps with Cursor, enabling faster development cycles.
Tested on real users:
Task flow analysis on real consumers and suppliers.
Handed off to developers:
Provided dev team with specs.
UX Research
Prototyping
Strategic Roadmaps
Service Design
Design Systems
Go-To-Market
