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Development of an Integrated Digital Asset and Product Catalog Management Platform for Retail Enterprises
  1. case
  2. Development of an Integrated Digital Asset and Product Catalog Management Platform for Retail Enterprises

Development of an Integrated Digital Asset and Product Catalog Management Platform for Retail Enterprises

firstlinesoftware.com
Retail

Retail Digital Transformation Challenges and Opportunities

A large retail enterprise faces challenges in managing vast digital assets, maintaining an up-to-date product catalog, integrating customer loyalty and transaction data, and supporting high-volume web traffic. These issues hinder effective marketing, personalized customer engagement, and operational efficiency, impacting overall business performance and competitive positioning.

About the Client

A large retail organization operating a chain of supermarkets with extensive digital assets, customer engagement channels, and promotional activities.

Goals for Building a Robust Digital Asset and Product Data Platform

  • Implement a centralized Digital Asset Management (DAM) system to organize and share digital content including photos, videos, documents, and design files.
  • Develop a comprehensive product information management (PIM) system to establish an accurate, up-to-date product catalog with over 100,000 items.
  • Integrate customer profiles, including loyalty points and transaction history, leveraging machine learning for personalized marketing and targeted campaigns.
  • Create scalable web interfaces featuring advanced search, editorial management, and vendor code organization.
  • Enable seamless integration with existing point-of-sale and cashier systems.
  • Support high website traffic volumes, accommodating approximately 2 million daily visitors across a high-performance infrastructure.

Core Functional Capabilities for Retail Digital Ecosystem

  • A centralized DAM system for managing and sharing digital media assets such as photos, videos, and design files.
  • A product information management module capable of integrating with existing backend systems and supporting extensive product data.
  • Websearch and editorial interface for efficient content management and vendor code organization.
  • Customer personal profiles featuring loyalty points, transaction history analyzed via machine learning, and targeted promotional campaign support.
  • Shopping basket and consumer list management tools for personalized shopping experiences.
  • Integration with existing cashier and inventory systems for real-time data consistency.
  • Content migration platform tailored for large data volumes, extended beyond standard CMS capabilities.

Technological Foundations and Platform Choices

.NET framework (preferably latest stable versions) for backend development
MS SQL Server for data storage
ReactJS for frontend development
Modular CMS extensions to enhance content and data management
Machine learning components for transaction and customer data analytics

Essential System Integrations for Seamless Operations

  • Point-of-sale and cashier systems for transaction data synchronization
  • Media archive systems for digital asset access
  • Vendor and product information systems for catalog accuracy
  • Customer loyalty and transaction management systems

Performance, Security, and Scalability Standards

  • System must support at least 250,000 concurrent users
  • Website must handle approximately 2 million visits per day with 70 visits per second
  • Manage product catalog with over 100,000 items
  • Support promotional activities involving up to 20 million customers participating in various campaigns
  • High system reliability, security, and scalability to accommodate business growth

Anticipated Outcomes and Business Benefits of a Unified Retail Digital Platform

The implementation of an integrated digital asset and product data management platform is expected to enhance operational efficiency, improve content organization, and enable personalized marketing campaigns. With high scalability and robust analytics, the platform aims to support millions of customers and generate measurable improvements in customer engagement, promotional responsiveness, and overall sales performance, mirroring significant business growth and market competitiveness.

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