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Automated Product Management and Cloud Integration System for High-Volume E-Commerce Retailer
  1. case
  2. Automated Product Management and Cloud Integration System for High-Volume E-Commerce Retailer

Automated Product Management and Cloud Integration System for High-Volume E-Commerce Retailer

n-ix.com
Retail
eCommerce
Supply Chain

Challenges in Scaling and Automating High-Volume Retail Software Operations

The client faces difficulties in swiftly expanding their software development capabilities to manage a high volume of product SKUs, automate product creation workflows, ensure high system performance and security, and integrate various operational systems in a distributed environment. Establishing effective communication among distributed teams and developing functionalities to manage thousands of products efficiently are key pain points.

About the Client

A rapidly expanding fashion eCommerce company operating in a highly competitive online retail environment, managing a large volume of SKUs and requiring scalable, secure software solutions.

Objectives for Enhancing Retail Software Infrastructure and Automation

  • Develop an integrated automation system enabling rapid creation and management of product data with thousands of SKUs.
  • Build scalable, secure cloud-based solutions leveraging serverless technologies to streamline operations.
  • Implement real-time synchronization across multiple operational systems, including warehouse, order management, and inventory services.
  • Enhance search capabilities with advanced indexing and querying functionalities for large product catalogs.
  • Establish Agile workflows and seamless collaboration among distributed development teams to improve transparency and delivery speed.

Core Functional Capabilities for Retail Product Management Platform

  • Automated CSV/Excel upload and processing system enabling bulk product creation and updates.
  • Custom functionalities for importing data, parsing, filtering, transforming, and creating product entries.
  • Integration with a product information management system for automatic product attribute handling.
  • Event-driven data transmission to warehouse, order, discount, and inventory management services via message queues.
  • Advanced search functionality utilizing a NoSQL or search engine platform for fast retrieval by category or attributes.
  • Development of serverless API endpoints leveraging cloud functions (e.g., Lambda) to process API requests and interact with databases.

Preferred Technologies and Architectural Approaches

Serverless computing (e.g., AWS Lambda, equivalent cloud functions)
NoSQL database solutions (e.g., Elasticsearch or equivalent)
Message queue systems (e.g., message queues like SQS/SNS or equivalent)
API Gateway / REST API frameworks
Languages: Node.js, PHP, JavaScript
Containerization (e.g., Docker) for development and deployment
Automated testing frameworks for unit, regression, and integration testing

External System Integrations for Streamlined Operations

  • Product information management system for auto-creation and attribute management
  • Warehouse management system
  • Order management system
  • Inventory management system
  • Messaging queue platforms for asynchronous data transmission
  • Search engine platform for product cataloguing

Key Non-Functional System Requirements

  • High scalability to support a catalog of over 30,000 products and increasing inventory
  • High availability and fault-tolerance to ensure continuous operations
  • Strong security practices to protect product data and user information
  • Performance benchmarks such as API response times under load (target sub-second latency for search queries)
  • Automated testing coverage for code reliability and quality

Projected Business Outcomes and Efficiency Gains

The implementation of this automated product management and cloud integration system will enable the client to rapidly scale their product catalog, automate data ingestion workflows, improve system stability and security, and enhance search and retrieval capabilities. These improvements are expected to significantly reduce time-to-market for new products, enhance operational efficiency, and deliver a more seamless customer experience, ultimately supporting increased sales volume and market growth.

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