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Development of a Scalable Digital Wholesale Platform for Fashion Industry Enablement
  1. case
  2. Development of a Scalable Digital Wholesale Platform for Fashion Industry Enablement

Development of a Scalable Digital Wholesale Platform for Fashion Industry Enablement

trigent.com
Retail
Consumer products & services

Challenges Faced by a Global Fashion Wholesale Platform in Digital Transformation

The client operates a legacy system managing brand-retailer interactions, characterized by manual updates prone to errors, delays, inventory build-up, and cancellations. Limited support for third-party integrations hampers scalability and innovation, necessitating a bespoke digital solution with open architecture, secure APIs, and enhanced user experience to support rapid expansion and enterprise-wide integration.

About the Client

A large, global fashion brand or marketplace platform seeking to digitize and automate its wholesale interactions and showcase collections to global retailers.

Key Goals for Digital Wholesale Platform Enhancement

  • Transform and modernize legacy systems to ensure reliability, scalability, and ease of use.
  • Automate back-office activities to increase efficiency by 75%.
  • Reduce onboarding time for new brands by 80% through enhanced backend integrations.
  • Enable integration with diverse external IT systems via a flexible API framework.
  • Support rapid onboarding of new brands and retailers, scaling operations to accommodate a 228% increase in new business within 12 months.
  • Embed innovative features such as virtual showrooms and digital event platforms to enhance collection showcasing.

Core Functional Requirements for a Digital Wholesale Marketplace

  • A modern, reliable, and scalable web application built with a flexible architecture.
  • Real-time data update and validation capabilities for orders and inventory management.
  • Personalized user authentication with secure access controls (e.g., OAuth, secure HTTP).
  • An integration layer supporting multiple data formats (XML, JSON, CSV, EDI formats) and API versions with backward compatibility.
  • Responsive design enabling cross-device usability, including mobiles and tablets.
  • An open API framework supporting third-party system integrations for faster onboarding.
  • Automated processes to reduce manual efforts and errors, including inventory updates, order processing, and client onboarding.

Preferred Technologies and Architectural Approaches

Python with Django framework for application development
CouchDB and PostgreSQL for data storage and management
XML, JSON, CSV, EDI832, EDI850 for data interchange formats
Secure HTTP and OAuth for secure communication and authentication
API versioning with backward compatibility

Essential External System Integrations

  • Third-party enterprise IT systems for seamless data flow
  • Order and inventory management systems
  • Virtual showrooms and digital event platforms
  • Payment and fulfillment service providers

Critical Non-Functional Requirements

  • System should support scalable operations to handle a 228% increase in business within one year.
  • Real-time data processing with minimal latency.
  • High availability and fault tolerance to ensure 99.9% uptime.
  • Secure data exchanges with encryption, access controls, and authentication protocols.
  • Open, flexible architecture supporting easy third-party integration and onboarding.

Projected Business Impact and Benefits

Successfully developing and deploying the platform is expected to automate 75% of back-office activities, reduce new brand onboarding time by 80%, support operational scaling to 228% growth within 12 months, and provide a robust foundation for real-time, secure, and seamless global wholesale interactions, leading to enhanced customer loyalty, increased revenue, and streamlined supply chain processes.

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