Comprehensive ECOM Solution for a Jewelry Retailer

Our Python developers a complete ECOM solution for a leading jewelry retailer, integrating multiple modules to enhance online sales, business process management, content control, and inventory tracking. The goal was to automate all business aspects, improving efficiency and reducing costs.

ECOM

Jewelry

Business Process Automation

Content Management

Payment Optimization

Inventory Management

Client

NicheRetail, e-commerceLocationEuropean UnionYear2023

Our client is a leading jewelry retailer based in the European Union, specializing in the online sale of high-quality jewelry. With a strong presence in the e-commerce sector, the client serves a wide range of customers, focusing on offering a seamless shopping experience and exceptional customer service. Their business model is centered around automation, operational efficiency, and scalability, allowing them to effectively manage sales, inventory, and employee performance. Recognized for embracing advanced technologies, the client continually strives to innovate and optimize its processes to remain competitive in the rapidly evolving online retail market.Due to confidentiality agreements, specific details about the client cannot be shared.

Challenge

The client faced the need to integrate various business processes into a unified system to enhance the management of online sales, inventory, and employee performance. The goal was to streamline operations across multiple departments, reduce costs, and improve overall efficiency.Additionally, the client aimed to strengthen fraud prevention measures and optimize payment systems to ensure smooth and secure transactions for customers. Achieving these objectives required implementing advanced technologies that could seamlessly connect business functions while ensuring scalability for future growth.

Objective

The primary goal was to unify various business processes into a single platform to improve sales management, employee motivation, payment handling, and content operations. Additionally, reducing costs and enhancing fraud prevention were top priorities.

Solutions Implemented:

Modular Development and Integration

Separate Django-based modules were developed for distinct needs, including the ECOM platform, an employee engagement app, a payment and delivery management system, and a content management interface.

Data Processing Optimization

Integration with a master system through RabbitMQ, caching with Redis, and catalog restructuring with Solr helped streamline data flow and improve system responsiveness.

Business Process Automation

An employee motivation module was added to track task completion for performance rewards, manage reporting, and analyze sales and returns.

Payment System Optimization

Enhanced integration with acquiring banks to ensure seamless payment processing and accurate receipt generation.

Fraud Prevention Measures

A tagging system was introduced, categorizing users with "grey" and "black" labels, which enabled tracking and curbing fraudulent activity.A global UUID key was implemented to link all services, reducing database query volumes and simplifying data processing.

Results Achieved:

35%decrease of SMS costs

25%increase of operational speed

45%decrease in failed payments

50%improvement in receipt accuracy

40%reduce of processing and delivery costs

SMS Cost Reduction:By implementing a throttling mechanism using Redis, fraud-related SMS requests dropped by 60%, cutting SMS costs by 35%.

SQL Query Optimization:Streamlined queries increased operational speed by 25%, boosting overall system performance.

Improved Payment Processing:Upgraded integrations led to a 45% decrease in failed payments and a 50% improvement in receipt accuracy.

User Tagging for Fraud Reduction:The tagging system reduced processing and delivery costs by 40%. Users tagged with a "black" label are now required to make full prepayments, resulting in a 49% decrease in product returns and associated expenses.

Team

The team consisted of 10 backend developers specializing in Python and microservices architecture.

Back-end Engineers

System Architects

Database Engineers

Technical Lead

Technical Stack:

Backend

Django
PostgreSQL
Redis
Celery
Solr
RabbitMQ

Frontend

React

Platform

Docker
Docker Compose
Kubernetes
Pytest
GitLab CI