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Global Logistics Provider Optimizes Operations with Enterprise Software Development

  • Memphis
  • Logistics & Transportation
  • 48 weeks
  • B2B
  • Java, Spring Boot, Angular, PostgreSQL, Docker, Kubernetes, AWS

Project Brief

A multinational logistics supplier aimed to replace antiquated systems with a scalable enterprise software development solution to increase operations, visibility, and decision-making throughout their worldwide network.

Client Background

With operations spanning numerous continents, the company had issues in handling complex supply chains, tracking shipments, and organising resources in multiple locations. Their previous systems were out of date, lacked integration, and limited their capacity to respond to evolving market demands.

Key Challenges:

Data silos in different departments and areas hampered collaboration and real-time decision-making.
Using manual data entry and outmoded practices resulted in inefficiencies and raised the chance of errors.
The lack of real-time information into inventory levels, shipment statuses, and resource utilisation made it difficult to optimise operations.
The company's existing infrastructure struggled to handle the increasing volume of shipments and expanding global network.
Integrating the new ERP system into current legacy systems and third-party apps was a major technological issue.

Solution:

1. Discovery and Planning

We began a full exploration phase, working with stakeholders across the organisation to identify their individual pain points and requirements. We documented existing processes, discovered possibilities for improvement, and established functional and technical requirements for the new ERP system. This required considerable data analysis, process modelling, and risk assessment.

2. Development

Our experienced development team used an agile technique, dividing the project into manageable sprints. We used Java and Spring Boot to create a solid and scalable backend, with Angular providing a modern and intuitive frontend experience. PostgreSQL was chosen as the database because it is reliable and performs well. Docker and Kubernetes enabled efficient containerisation and orchestration, while Kafka allowed for real-time data streaming and integration with ERP system elements.

3. Implementation

We worked closely with the client's IT team to guarantee an easy transition to the new ERP system. This required painstaking data migration, extensive user training, and continuous technical support. We also conducted frequent performance evaluations and solicited comments to constantly improve and polish the system.

Tools & Technology Used

Java

Programming Language

Angular

Frontend

AWS Logo

AWS

Cloud Services

Spring Boot

Backend

Docker

Containerization

Kubernetes

Orchestration

Features:

Order Management

Streamlined workflow from bid to delivery with real-time tracking and visibility.

Transportation Management

Efficient shipping planning and execution, including carrier selection, route optimisation, and shipment tracking.

Warehouse Management

Warehouse management involves streamlined activities such as receiving, putting away, picking, packaging, and shipping.

Financial Management

Financial management includes integrated components for accounting, invoicing, and payment processing.

Values Delivered:

Automated workflows and optimised processes greatly reduced manual effort and mistake rates.
Real-time visibility into inventories, shipments, and resource utilisation facilitated proactive decision-making.
Inventory management and transportation planning were optimised, resulting in significant cost reductions.
The scalable and flexible ERP system allowed the organisation to respond swiftly to shifting market demands.
Timely and precise deliveries increased client satisfaction and loyalty.

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