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Automated Product Data Feed System to Enhance Catalog Accuracy and Efficiency
  1. case
  2. Automated Product Data Feed System to Enhance Catalog Accuracy and Efficiency

Automated Product Data Feed System to Enhance Catalog Accuracy and Efficiency

trigent.com
Retail
eCommerce

Challenges in Manual Product Data Management and Distribution

The client currently manages product catalog data manually, which is error-prone and time-consuming, especially when handling over 120,000 products across 3,500 brands. They distribute product feeds to multiple recipients with varying formatting requirements, leading to data mismanagement, high turnaround times, increased server load, and inconsistency in catalog quality. This hampers their ability to deliver accurate, timely product information to customers and partners, impacting overall operational efficiency.

About the Client

A mid-sized retail organization with both physical stores and an extensive online platform, offering a wide range of products across multiple brands, aiming to optimize product data management and customer experience.

Goals for Automating and Optimizing Product Data Feed Management

  • Develop an automated, scalable system to generate and distribute product data feeds with 100% accuracy.
  • Reduce the time spent on product/catalog feed management by at least 90%.
  • Improve catalog data quality by 50%, ensuring consistency and reliability across all channels.
  • Enable configurable scheduling and delivery of product feeds to multiple subscribers with different formatting needs.
  • Implement active monitoring and reporting capabilities to track feed status, performance, and audit activity.
  • Provide a user-friendly interface for manual sync, configuration, and management of product data feeds.

Functional Capabilities for Automated Product Data Feed System

  • A centralized product/catalog database for storing all product data in a standardized model.
  • Web-based user interface for managing feed configurations, manual sync, and monitoring feed statuses.
  • Template-driven publishing system to produce multiple feed formats tailored to different subscribers.
  • RESTful APIs for editing URLs, configurations, and integration with content delivery networks like Fastly.
  • Scheduled publishing leveraging cloud task runners (e.g., Webjobs or equivalent) with support for delayed or recurring callbacks via Redis.
  • Real-time dashboards and reports for performance metrics, location-specific insights, and system activity logs.
  • Audit logging to track all feed generation, modifications, and delivery activities.

Technology Stack and Platform Preferences for Feed Automation

MERN stack (MongoDB, Express, React, Node.js)
Cloud hosting platforms, preferably MS Azure
RESTful API architecture for integrations
Content delivery via CDN (e.g., Fastly)
Redis for scheduling and caching
Power BI or similar for reporting

Essential System Integrations for Data and Content Delivery

  • Internal product data sources and servers for data extraction
  • Third-party platforms/subscribers requiring product feeds with different formats
  • Content delivery network for fast, reliable feed delivery
  • Reporting tools for analytics and dashboards

Key Non-Functional System Requirements

  • System should achieve 100% data accuracy in product feeds
  • Feed generation and delivery must be scalable to handle updates for over 120,000 products
  • Ensure high performance with minimal latency in data processing and publishing
  • Secure data handling and transmission aligned with best practices
  • Support for scheduled, repeatable feed publishing with audit logs for compliance and troubleshooting

Expected Business Benefits from Automated Product Data Management

Implementing this automated product data feed system is projected to eliminate manual effort, saving approximately 90% of time previously spent on feed management. It will ensure 100% accuracy of product information, significantly enhance catalog quality by 50%, and improve operational efficiency. The solution will empower the organization to deliver consistent, reliable product data across all sales channels, increasing customer trust and supporting seamless scalability for future growth.

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