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Delta Quest
Date de publication

Redesigning an International Logistics Platform

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Introduction

This project aimed at a complete redesign of the international logistics platform. The initial version was developed as a PoC, but it did not achieve market fit, and with the redefinition of the business, a new platform adapted to core use cases was needed.

This article explains how we redesigned the architecture, built the data model, adopted Domain-Driven Design (DDD), and achieved a scalable system.

SITUATION: Challenges and Background

The initial version of the logistics platform had architectural constraints that did not match real business needs.

  • Built as a PoC, it diverged from core use cases
  • Changes in business strategy required adapting to different needs
  • Existing system lacked scalability and could not support long-term operation

Therefore, redesigning the system from scratch was the best option.

TASK: Goals and Role

Main goals of this project:

  • Achieve Product-Market Fit (PMF) (increase monthly shipments, revenue, and repeat customers)
  • Build a domain model reflecting real business needs
  • Ensure long-term scalability and extensibility

As Head of Engineering, I led the engineering team, oversaw architecture design, data modeling, and DB/API design. I also worked closely with the product team, bridging business and technical requirements.

ACTION: Approach and Execution

1️⃣ Architecture and Data Model Redesign

For the new system, we adopted Domain-Driven Design (DDD) and built a data model that faithfully reflects business realities.

  • Analyzed logistics workflows in detail to define domain models
  • Defined bounded contexts and organized service dependencies
  • Optimized database design for performance and scalability

2️⃣ User Experience (UX) Improvement

The new frontend leveraged Material UI to create an intuitive, modern UI/UX.

  • Improved visibility and usability, enhancing user efficiency
  • Performance optimizations achieved Lighthouse score above 80

3️⃣ Phased Migration Strategy

To mitigate risk during system replacement, the old and new systems ran in parallel.

  • Collaborated with early adopters to ease migration
  • Incorporated direct user feedback for rapid improvements

RESULT: Business Impact

As a result:

✅ After launch, key KPIs like monthly shipments, revenue, and repeat customer rate were achieved ✅ Backend optimization increased request processing speed by 40% ✅ The system evolved to meet industry needs and allow scalable operations

Conclusion

The project delivered:

  • Rebuilt architecture using DDD
  • Data model adapted to new business requirements
  • Enhanced UX/UI
  • Smooth migration process with existing users

Future work will continue to enhance features and performance to build an even more valuable logistics platform.

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