Legacy modernization & microservices migration
- Migrated the legacy platform to a microservices architecture for modular scalability and performance.
Client Overview
Global Print Platform
The client is a Sweden-based unicorn operating the world's largest printer network, delivering personalized print products across 30+ countries. Backed by extensive logistics partnerships and high-volume, on-demand production, the client engaged FiftyFive Technologies as a long-term engineering and consulting partner.
The scope spanned modernizing core systems, enhancing global delivery efficiency, and building scalable digital products — including custom software development, mobile app development, legacy modernization, AI/ML engineering, cloud-enabled scalability, DevOps automation, and agile transformation. FiftyFive deployed cross-functional engineering teams to improve performance, accelerate feature delivery, and strengthen the client's global operational capabilities.
The Challenge
The Challenge
Modernizing a high-volume global print platform meant untangling years of legacy architecture while keeping worldwide production running. The engagement had to reduce technical risk and unlock scale without disrupting live operations across 30+ countries.
- Monolithic legacy architecture causing latency, instability, and complex debugging.
- Deprecated frameworks leading to security vulnerabilities and high operational risk.
- Limited scalability for growing global order volume and API integrations.
- No mobile platform for personalized product creation and editing.
- Inefficient delivery routing for capacity-constrained fleets across multiple countries.
- Unstructured documentation, sprint workflows, and story-pointing affecting development predictability.
The Solution
Solutions We Delivered
FiftyFive delivered a full-cycle engagement that re-platformed the client's core systems, introduced a new mobile experience, and applied AI/ML to global delivery. We migrated the monolith to microservices for modular scale, upgraded outdated frameworks and hardened security, built a cross-platform mobile app for personalized products, and engineered ML-driven route optimization for capacity-constrained fleets. Cross-functional teams and an agile operating model tied the work together — improving performance, predictability, and delivery efficiency at global scale.
Framework upgrades & security hardening
- Upgraded outdated frameworks, optimized database operations, and implemented security best practices.
Mobile application development
- Built a React Native mobile application using JavaScript, Redux, React Navigation, Jest, PHP, and Node.js, with CI/CD via CodeMagic — enabling personalized product creation and editing on mobile.
AI/ML-driven route optimization
- Developed ML models using Python, Solver Pulp, Graph Theory, Matplotlib, and the Google Maps API, with AWS S3 for secure, scalable data processing — optimizing delivery routing for capacity-constrained fleets.
Agile transformation
- Introduced agile methodologies including sprint planning, grooming, documentation restructuring, and story-pointing frameworks to improve development predictability.
Cross-functional team deployment
- Deployed cross-functional teams including mobile engineers, backend engineers, data scientists, QA engineers, DevOps specialists, and business analysts.
Project LeadNot Mentioned
Notes from the project lead: Not Mentioned. Add a verified statement attributed to the lead's role on this engagement before publishing.
Tech Stack
Tools That Powered the Build
Frontend / Mobile
Backend
CI/CD
Cloud & Architecture
Testing
AI / ML & Data
Headcount Not Mentioned
Team structure
—
Mobile
Engineers
—
Backend
Engineers
—
Data
Scientists
—
QA
Engineers
—
DevOps
Specialists
—
Business
Analysts
The Outcome
Results That Speak Clearly
Project durationNot Mentioned
Working as a long-term engineering partner, FiftyFive delivered measurable gains across performance, cost, delivery, and predictability. The combined impact strengthened the client's global operations and market competitiveness.
50% faster system performance
The microservices migration and framework upgrades cut latency and instability, delivering a scalable foundation that supports increased global transaction volume.
60% lower maintenance costs
Modernized architecture and optimized database operations reduced operational overhead and the cost of ongoing upkeep.
60%+ reduction in delivery costs
ML-driven route optimization improved fleet utilization and operational efficiency for capacity-constrained delivery across multiple countries.
50–60% better development predictability
Agile transformation — sprint planning, grooming, restructured documentation, and story-pointing — accelerated releases and strengthened product quality.
Alongside these metrics, the new mobile app saw widespread adoption across 30+ countries, improving user experience and personalization. Collectively, the initiatives enhanced customer satisfaction, operational resilience, and global competitiveness.
Why FiftyFive
Why Choose FiftyFive
- 2-week free POC onboarding so you can validate fit before committing.
- Monthly billing on actual man-hours with a 45-day credit period for remote teams.
- Time-zone-aligned delivery for real-time collaboration.
- Scalable team model across India, the UK, Sweden, and the UAE.
- Transparent communication via Slack, Google Chat, Jira, and Trello.
Support
Frequently Asked Questions
Can't find what you're looking for? Chat with our team →
FiftyFive modernized the client's legacy architecture, migrated core systems to microservices, built a React Native mobile app, introduced AI/ML-driven route optimization, and supported agile and DevOps transformation.
The solution used React Native, JavaScript, Redux, React Navigation, PHP, Node.js, Jest, CodeMagic, Python, Solver Pulp, Graph Theory, Matplotlib, Google Maps API, AWS S3, and microservices architecture.
The work delivered 50% faster system performance, 60% lower maintenance costs, a 60%+ reduction in delivery costs, and a 50–60% improvement in development predictability.
FiftyFive developed route-optimization models using Python, Solver Pulp, Graph Theory, Matplotlib, and Google Maps API, with AWS S3 supporting secure, scalable data processing for capacity-constrained fleets.
The engagement included mobile engineers, backend engineers, data scientists, QA engineers, DevOps specialists, and business analysts. The total confirmed headcount was not provided.
Support
Related Cases
Catering to your needs
