Gen AI in Retail
Empowering customers to create their own wallpaper designs.
Case study / 02
Project context
Custom Wallpaper / E-commerce
Plumfind contribution
AI Strategy / Engineering / Integration / Deployment
Technology
Gen AI / APIs / Shopify / AWS
Timeline
Discovery / Prototype / Build / Deploy
A custom generative AI experience built directly into an existing storefront, turning customer prompts into production-ready wallpaper designs.
OVERVIEW
A useful system starts with a clear reason to exist.
WHAT EXISTED
An established wallpaper business with an existing Shopify storefront and a vision for personalized design.
WHAT WAS MISSING
A simple way to turn their own ideas into unique wallpaper patterns without leaving the shopping experience.
WHAT WE BUILT
An embedded AI image-generation experience designed around wallpaper-specific quality, tiling and production requirements.
THE CHALLENGE
Generating an image wasn’t enough.
It had to
work as wallpaper.
It had to work as wallpaper.
The challenge wasn’t simply giving customers access to generative AI. Every output needed to satisfy practical requirements around pattern repetition, print quality, commercial use and the realities of wallpaper production.
REQUIREMENTS
Reduce uncertainty
before production.
BUSINESS CONTEXT
Bring generative design directly into the client’s existing wallpaper shopping experience.
OUTPUT QUALITY
Generate commercially usable imagery with the dimensions and print specifications required for wallpaper production.
EXPERIENCE DIRECTION
Make text-to-image creation simple while supporting both single and batch generation workflows.
PRODUCTION REQUIREMENTS
Secure authenticated access, cost-efficient infrastructure and complete client ownership.
discovery
Quality lives in the details.
We mapped the complete journey from customer prompt to printable wallpaper, defining the constraints that would determine whether an AI-generated image was actually usable.
WALLPAPER OUTPUT REQUIREMENTS
Seamless pattern
- Tileable repeat
- Print-ready quality
- Required dimensions
- Commercial usability
MODEL EVALUATION
Finding the right model mattered more than using AI.
We evaluated multiple image-generation approaches against the actual requirements of wallpaper production rather than selecting a model based on generation capability alone.
Model evaluation
Self-hosted models
Tested for greater infrastructure control, but initial outputs did not meet the client’s expectations for visual quality and consistency.
Managed APIs
Evaluated as an alternative for stronger generation quality and more reliable pattern output.
Production criteria
Models were compared against seamless tiling, consistency, image dimensions, print specifications and operational cost.
Final direction
An API-based generation model was selected after iterative prototype reviews with the client.
SOLUTION / ARCHITECTURE
Designed as one clear generation path.
01
CUSTOMER INPUT
Authenticated customers describe the wallpaper they want to create.
02
AI GENERATION
Prompts are processed through the selected image-generation service.
03
PRODUCTION OUTPUT
Generated patterns are returned to the storefront for review and use.
System flow
01
Storefront
Existing Shopify customer experience.
02
Authentication
Access restricted to authenticated customers.
03
Generation
Single or batch AI image creation.
04
Client Environment
Production infrastructure under client ownership.
DEVELOPMENT
From considered direction to a production system.
DISCOVERY
Defined business requirements, wallpaper production constraints, infrastructure considerations and ownership requirements.
PROTOTYPING
Tested multiple models and generation approaches against real output requirements.
ENGINEERING
Built generation workflows, authentication, storefront integration and supporting infrastructure.
RESULTS
What changed because because the idea became production-ready.
Delivered a custom AI-powered wallpaper generation platformEnabled seamless, tileable designs from text promptsSupported wallpaper-specific image and print requirementsAdded single and batch generation workflowsIntegrated authenticated access with the existing storefrontOptimized model selection around quality, scalability and costMigrated the complete solution to the client’s cloud environment
The result turned generative AI from an experiment into a customer-facing capability integrated with the client’s actual business.
TECHNOLOGY / SERVICES
AI LAYER
Generative AI API Integration
Model Evaluation & Selection
Image Generation Workflows
EXPERIENCE LAYER
Embedded Web Application
Authentication & Access Control
Storefront Integration
PRODUCTION LAYER
Cloud Architecture
AWS Deployment
Infrastructure Migration
LIVE PRODUCT
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Start with the business result.
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