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Automated Product Data Feed System for Multi-Channel Retailer

trigent.com

Retail

eCommerce

Consumer products & services

Manual Data Feed Management Challenges

The client faces significant operational inefficiencies due to manual creation and maintenance of product data feeds for 120,000+ products across 3,500 brands. Current processes result in frequent errors, inconsistent formatting, excessive turnaround times, and server overload from managing multiple API/SQL integrations with third-party platforms.

About the Client

Family-owned regional retailer operating 12 physical stores and an online platform since 1997, specializing in durable lifestyle products for rural communities

Automation and Operational Efficiency Goals

Implement fully automated product data feed generation system
Reduce manual effort in catalog management by 90%
Achieve 100% data feed accuracy
Improve catalog quality by 50%
Enable strategic resource allocation for 1,100 employees

Core System Capabilities

Configurable template engine for multiple subscriber formats
Real-time feed status monitoring dashboard
Scheduled automated publishing via Azure Webjobs
RESTful API interface for URL path management
Redis-based scheduling for delayed repeatable callbacks
Power BI integration for performance analytics

Technology Stack Requirements

MERN stack (MongoDB, Express, React, Node.js)

Microsoft Azure cloud hosting

Fastly CDN integration

Redis caching

Third-Party System Integrations

CRM platforms
Product Information Management (PIM) systems
Customer engagement platforms
Sales analytics tools
Marketing automation platforms

System Performance Criteria

High-availability architecture (99.9% uptime)
Scalable to handle 100,000+ product catalogs
Real-time data synchronization capabilities
Enterprise-grade security controls
Audit logging and compliance tracking

Expected Business Outcomes

Implementation of this automated system is projected to eliminate manual data feed errors entirely, reduce catalog management time by 90%, and significantly enhance product catalog quality. The solution will enable real-time performance monitoring, improve decision-making through data-driven insights, and allow staff to focus on strategic initiatives rather than operational tasks.