Use of PLM Software in the Apparel, Fashion and Textile Industry

Without a software, we can't think of running a fashion manufacturing and fashion retailing business. All big fashion brands are dependent on the PLM software. PLM system is used by designer, fashion brands, buyers, textile mills, apparel manufacturers, retailers. Different users across the fashion supply chain work on the same platform and can access the same data. PLM software improves internal and external communication.

The PLM software has reduced all manual activity, cutting the total time consumed into the half on an average. This has also helped in streamlining sourcing. Now a manufacturer can quickly flip through an array of samples in no time.

A PLM software integrates end-to-end product development and supply chain capabilities, enabling end users to plan, create, develop, source, cost, and follow finished goods through their life cycle to achieve rapid time-to-value.

Below is the list of major activities and function covered by a PLM system.

Application of PLM software in Fashion Business

  • Tech Packs development
  • Material Development
  • Product development and sampling 
  • Sample Costing
  • Sourcing 
  • Testing & Compliance
  • Workflow Calendars 
  • Global Collaboration
  • Exceptions Dashboard 
  • Custom Reporting
  • Merchandise and Line Planning
  • Storyboard and Line Sheets
  • Specifications and Bill of Material
  • Concept to Production Work Flow
  • Color and Material Development
  • Digital Asset & Document Management
  • Sample Management & Tracking
  • Time & Action Calendar/Alerts
  • Collaborative Event Tracking
  • Collaborative RFQ & Bids
The above list of PLM functions is collected from various PLM suppliers' website.

Also Read: Top Fashion PLM Software Solution Providers

Benefits of PLM Software

PLM software supports the product development process, to integrate people, processes, and systems. It provides a product information "warehouse" for organizations. Primary benefits of PLM software include:
  • Faster time-to-market
  • Increased productivity
  • Design efficiency
  • Lower cost of new product introduction
  • Insight into critical business processes
  • Better reporting and analytics
  • Improved product quality and reliability
  • More accurate and timely request for quote generation
  • Ability to quickly identify potential sales opportunities and revenue contributions
  • Savings through the re-use of original data
  • A framework for product optimization

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