Logistics & Supply Chain
Network Planning Tool (NPT) Built for a Multinational Package Delivery & Supply Chain Management Company
Streamlining large-scale data management and operations planning through a high-performance planning system
45%
improved Efficiency
63%
Better API Integration
4x
Optimized Query Performance
Client Overview
The client is a multinational package delivery and supply chain management company operating across complex logistics networks and high-volume data environments. As operations expanded globally, the organization required a centralized system to manage planning data, integrate multiple services, and support faster, more accurate decision-making.
Sthenos partnered with the client to design and develop a Network Planning Tool (NPT) that could process large datasets efficiently, integrate seamlessly with existing systems, and scale alongside growing operational demand.
Challenge
- Handling large datasets and complex queries without impacting system performance
- Designing a platform capable of scaling with increasing user demand and data volume
- Integrating multiple internal and external APIs while maintaining reliability
- Ensuring strong security controls to protect sensitive operational and planning data
Our Approach
Sthenos focused on performance optimization, modular design, and security as core principles.
Scalable Platform Architecture
A modular architecture was designed to support high data volumes and evolving business requirements without compromising performance.
Optimized Data Access
Database interactions were streamlined to reduce query execution time and improve system responsiveness for operational users.
Secure Data Handling
Authentication, authorization, and encryption mechanisms were embedded into the platform to protect sensitive logistics and planning data.
Seamless System Integration
APIs were structured to support smooth communication between systems, improving reliability and reducing integration friction.
Technical Spotlight
- Efficient ORM and Database Optimization: Hibernate was used to optimize object–relational mapping, reducing query overhead and improving database performance.
- Microservices-Based Architecture: Spring Boot enabled modular development, allowing independent services to scale and evolve without disrupting the system.
- Robust Security Framework: Spring Security enforced authentication, authorization, and data encryption to safeguard sensitive information.
- Enterprise-Grade Backend: The platform was designed to handle high concurrency and large datasets while maintaining consistent performance.
Solution Delivered
- Optimized query execution improved system responsiveness
- Scalable architecture supported growing data and user demand
- Secure API integrations enabled reliable system communication
- Centralized planning data improved operational visibility
Results
- 45% improvement in efficiency, driven by faster data access and streamlined workflows
- 63% better API integration, improving system reliability and data consistency
- 4× faster query performance, enabling quicker operational insights
- Improved scalability and stability across logistics planning operations
Tech Stack
Looking to modernize operations planning or optimize high-volume data systems?
Schedule a free consultation with Sthenos to explore solutions designed for performance, scalability, and long-term growth.