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E-commerce Retailers Scales Rapidly with Software Development Outsourcing

  • 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:

The reliance on manual inventory tracking led to inaccuracies, delays, and a lack of real-time visibility into stock levels.
Inventory data was dispersed among several spreadsheets and platforms.
As the firm expanded, the current systems could not handle the growing amount of orders and inventories.
The new IMS must smoothly interact with the company's e-commerce platform and order management system.
The organisation lacks the internal skills to create a customised IMS.
They required a solution that could be installed quickly to meet their current inventory difficulties and support their development trajectory.

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.

Values Delivered:

The IMS eliminated human mistakes and guaranteed precise, real-time inventory tracking, which reduced stockouts.
Automated procedures and optimised workflows Inventory management efficiency is considerably increased.
Optimised inventory levels and effective order fulfilment resulted in lower storage costs.
The platform's scalable design supported the retailer's fast expansion, guaranteeing that the system could manage rising orders and inventories.
Software outsourcing allowed the store to adopt the IMS swiftly.

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