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Development of Full-Cycle Metal Print Ordering Mobile Application

digiteum.com

eCommerce

Consumer products & services

Retail

Current Challenges in Metal Print Ordering

Existing solutions lack intuitive mobile-first interfaces for metal print customization, resulting in low conversion rates and fragmented user experiences during image upload, payment processing, and order visualization.

About the Client

Photography equipment and services retailer expanding into premium photo products

Key Project Goals

Create a full-cycle eCommerce solution for metal print ordering
Achieve 50%+ conversion rate from app downloads to purchases
Implement real-time visualization of print sizes/styles in real-life contexts
Integrate seamless payment processing within the application
Establish robust backend systems for order management and loyalty programs

Core System Requirements

Multi-source image upload (social media, cloud storage, device gallery)
Interactive preview with real-life background placement
In-app payment gateway integration
Promo code and loyalty program management
Order tracking and status notifications
Photo editing tools with metal print optimization

Technology Stack Requirements

iOS application development (Swift/Objective-C)

Cloud-based image processing infrastructure

Secure payment gateway integration

RESTful API architecture

NoSQL database for order management

External System Integrations

Social media APIs (Instagram, Facebook)
Google Photos API
Amazon S3 cloud storage
Stripe/PayPal payment processors
Email marketing platforms

Non-Functional Requirements

99.9% uptime SLA for payment processing
Sub-2s image upload and preview rendering
PCI-DSS compliance for payment security
Horizontal scalability for seasonal traffic spikes
Cross-platform UI consistency across iOS devices

Expected Business Impact

Projected 6-month ROI through streamlined user journey, with at least 50% conversion rate from downloads to purchases, enhanced customer retention through loyalty program integration, and reduced operational costs via automated order management systems.