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Develop Scalable Data Integration and Analysis Platform for Retail & eCommerce
  1. case
  2. Develop Scalable Data Integration and Analysis Platform for Retail & eCommerce

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Develop Scalable Data Integration and Analysis Platform for Retail & eCommerce

wesoftyou.com
eCommerce
Retail
Business services

Data Integration and Standardization Challenges

Productify's clients face significant challenges in integrating data from numerous retailers with diverse feed formats. This leads to inconsistent data, inefficient workflows, and difficulties in performing comprehensive data analysis. The need for a scalable and robust platform to streamline this process is critical for growth and client satisfaction.

About the Client

Productify is a data feed management company specializing in providing retailers with a centralized and standardized platform for managing and analyzing complex product data from various sources.

Project Goals

  • Enhance data feed management capabilities to support over 100+ retailers and future expansion.
  • Provide standardized product data across all integrated retailers.
  • Improve data analysis capabilities through a robust and scalable system.
  • Streamline data aggregation, conversion, and normalization processes.
  • Increase operational efficiency and reduce data integration headaches for clients.

Functional Requirements

  • Automated data feed ingestion and processing.
  • Data mapping and normalization engine.
  • Support for hundreds of different feed formats.
  • Complex data analysis capabilities (e.g., product performance, trend analysis).
  • Search and filtering functionalities for product data.
  • Scalable architecture to handle growing data volumes and retailer database size.
  • User-friendly web interface for data management and analysis.
  • Assignment management tool integration with fintech systems (future enhancement).

Preferred Technologies

Python
Django
React.js
Redux Toolkit

Required Integrations

  • Fintech assignment management tool

Non-Functional Requirements

  • High scalability to accommodate increasing data volumes and user base.
  • Robust and secure architecture.
  • High performance and efficient data processing.
  • Reliable and maintainable system.
  • Comprehensive testing and quality assurance.

Expected Business Impact

This project will enable Productify to expand its market reach, improve client satisfaction by providing a more efficient and reliable data integration service, and enhance its competitive advantage in the data feed management space. It will also allow Productify to offer advanced data analysis services, generating new revenue streams.

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