- Seattle
- Retail
- 18 Weeks
- B2C
- Java, MySQL, Angular, Docker, Kubernetes
Project Brief
A rapidly developing e-commerce company had significant inventory management challenges across numerous warehouses and fulfilment centres. To improve processes, company seek for a software development outsourcing partner to develop a custom inventory management system (IMS).
Client Background
The retailer, which specialises in fashion and clothing, had experienced increased online sales, but its current inventory management methods failed to keep up. They depended mainly on manual recording and spreadsheets.
Key Challenges:
Solution:
1. Discovery and Planning
We thoroughly investigated the retailer's current inventory management systems to discover obstacles, inefficiencies, and automation opportunities. We worked closely alongside their logistics and operational divisions to identify particular requirements and define the scope of the IMS.
2. Development
Our expert software development team in Eastern Europe employed Java and Spring Boot to build a robust and scalable IMS backend. We chose MySQL as the database since it is fast and reliable. The frontend was created using Angular, resulting in a user-friendly interface for inventory management and warehouse staff. We containerised the application using Docker and orchestrated it with Kubernetes, resulting in easy deployment and scalability.
3. Implementation
We collaborated extensively with the retailer's IT staff to implement and integrate the IMS with their current systems. This involved data migration from previous systems, extensive user training, and rigorous testing to guarantee a seamless transition.
Tools & Technology Used
Java
Programming Language
Angular
Frontend
Docker
Containerization
MySQL
Database
Kubernetes
Containerization
Features:
Real-Time Inventory Tracking
The IMS offers a real-time snapshot of inventory levels in every warehouses and fulfilment centres, enabling precise tracking and proactive replenishment.
Automated Inventory Updates
The system automatically adjusts inventory levels depending on arriving and outgoing shipments, eliminating the need for manual data entry.
Demand Forecasting
Using previous sales data and machine learning algorithms, the IMS predicts future demand, allowing for proactive inventory planning.
Order Fulfillment Optimization
The technology dynamically routes orders to the most efficient fulfillment centre based on inventory availability, shipping prices, and delivery schedules.
Reporting & Analytics
Customisable dashboards and reports offer insights into inventory levels, sales patterns, and fulfilment success, allowing for data-driven decision-making.