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Develop Centralized Product Information System with Advanced Analytics
  1. case
  2. Develop Centralized Product Information System with Advanced Analytics

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Develop Centralized Product Information System with Advanced Analytics

plavno.io
eCommerce

Challenges

The client's existing product information system is struggling due to fragmented data across multiple systems, resulting in inconsistencies, data duplication, and difficulties in updating product information across various sales channels. This leads to operational inefficiencies, inaccurate product information for customers, and hinders effective business decision-making.

About the Client

A rapidly growing ecommerce platform offering a wide variety of consumer products, including electronics and fashion.

Objectives

  • Create a centralized and consistent product database.
  • Improve data accuracy and reduce data duplication.
  • Enable seamless integration of product information with existing ERP and CRM systems.
  • Implement advanced data analytics to gain insights into product performance and market trends.
  • Automate data synchronization across all sales channels.
  • Enhance operational efficiency in product information management.

Functional Requirements

  • Centralized Product Database
  • Advanced Data Analytics Reporting
  • Seamless Integration with ERP and CRM
  • Automated Data Synchronization
  • User-friendly Product Information Management Interface
  • Role-based Access Control

Preferred Technologies

React
TypeScript
Redux
PHP
Laravel
MySQL
React Native
Flutter
Node.js
Docker
GraphQL

Integrations Required

  • Existing ERP system
  • Existing CRM system

Key Non-Functional Requirements

  • Scalability to handle growing product catalog and customer base
  • High performance and responsiveness
  • Robust security measures (SSL, encryption, authentication)
  • Data integrity and consistency

Expected Business Impact

A successful implementation of the Product Information System will result in improved data quality, enhanced operational efficiency, better customer experience, and data-driven decision-making. The client will be able to respond more quickly to market changes and effectively manage its growing product portfolio.

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