Top applications of AI (Artificial Intelligence) in ready-made garments industry

Top applications of AI in ready-made garment industry
Smart Manufacturing

What is Artificial Intelligence?

Let check the answer from the AI (ChatGpt) itself. And I got a quick reply as well: “Artificial Intelligence (AI) refers to computer systems that are able to perform tasks that normally require human intelligence. These include machine learning, computer vision, speech recognition, natural language processing and robotics.”

Here’s how AI is going to transform the various aspects of the garment sector.

AI’s Powerful Vision and Image Recognition System

  • Identifying and Grading Textile Fibers: AI can accurately identify and grade different types of textile fibers. So could contribute in the sorting process. 
  • Detecting Fabric Defects: AI-powered systems can quickly and accurately detect defects in fabrics. So could ensure higher quality standards.
  • Predicting Dye Recipes: AI algorithms can predict precise dye recipes for achieving specific colors and evaluate the final color outcome.
  • Inspecting Garments: AI enables faster and more thorough inspection of garments for defects. So could assist in the inspection process.

AI-Powered Automated Machines and Robots

  • Precision Cutting and Spreading: AI-driven automated machines can handle cutting and spreading tasks with high precision and speed. Thus could improve production efficiency.
  • Reducing Sampling Costs: Digital product simulation powered by AI could reduce sampling costs and time. Thus could facilitate faster product development cycles.
  • Enhancing Sewing Efficiency: Smart manufacturing techniques driven by AI could optimize sewing processes. Thus could increase overall production efficiency.
  • Real-Time Defect Detection: AI systems could immediately detect and address defects during real-time production lines monitoring. Thus could maintain overall product quality.
  • Predictive Maintenance: AI can predict equipment failures and schedule maintenance proactively. Thus could minimize downtime and improve operational efficiency.

AI-Enabled Continuous Learning and Adaptation

  • Predicting Trends: AI can analyze market data to predict trends in customer preferences for colors, designs, sizes, and price points. Hence could aid in proactive decision-making.
  • Personalized Customer Experience: Similar to online retail applications, AI enhances customer experience by predicting and suggesting products based on individual preferences.
  • Forecasting Demand: AI algorithms forecast demand accurately. Hence could optimize inventory management to reduce overstock and stockouts.

AI-Generated Workforce

  • Labor Optimization: AI adoption may reduce low-skilled labor. Hence could optimize higher-value task i.e. AI programmer, Technicians etc.
  • Creating New Job Opportunities: AI integration creates new job opportunities in AI management, data analytics, and advanced manufacturing roles.

Leading AI Innovating, Manufacturing and Integrating Companies

Here is a list of companies that are innovating and manufacturing AI-integrated machines and technologies for the ready-made garment sector:

  • Sewbo – Known for developing robotic sewing technology that automates garment production.
  • SoftWear Automation – Specializes in fully automated sewing work-lines using AI and robotics.
  • Lectra – Offers AI-driven cutting room solutions and fabric optimization software.
  • Gerber Technology – Provides AI-enabled cutting and pattern-making machines.
  • Browzwear – Develops 3D design and AI-driven virtual sampling solutions.
  • CLO Virtual Fashion – Innovates in 3D garment visualization and AI-driven design tools.
  • Tukatech – Offers AI-integrated pattern-making, grading, and marker-making software.
  • Optitex – Provides 3D digital design and AI-driven pattern-making solutions.
  • Zund – Manufactures digital cutting systems with AI capabilities for fabric and textiles.
  • Kornit Digital – Produces AI-enabled digital textile printing solutions.
  • Stitch Fix – Uses AI to optimize garment production and personalized styling.
  • Under Armour – Integrates AI for design and manufacturing efficiency in sportswear.
  • Nike – Utilizes AI for predictive analytics in supply chain and product development.
  • Adidas – Implements AI for optimizing production processes and trend forecasting.
  • ApparelMagic – Offers AI-driven ERP solutions for apparel management.

These companies are leading the way in integrating AI into various aspects of the ready-made garment industry, from design and production to quality control and supply chain management.

Conclusion

AI technology presents a significant opportunity for the ready-made garments industry. Early adoption of AI promises improved efficiency, cost reductions, and higher product quality, positioning companies gain a significant competitive advantage. Bangladesh RMG industry should early integrate AI to strengthen its global position and attracting more international buyers and investors.

References:

1. “Artificial Intelligence in Fashion and Textile Industry” – By Muhammad Moazzam, published in International Journal of Computer Applications Technology and Research (IJCATR).

2. “The Role of Artificial Intelligence in Fashion and Textiles: A Review” – By Anshika Agarwal and S. Subramanian, published in Advances in Science, Technology & Innovation (ASTI) book series.

3. “AI in the Fashion Industry: A Review” – By Muhammad Moazzam, published in the Journal of Textile Science & Fashion Technology.

4. “Applications of Artificial Intelligence in Fashion and Textile Supply Chain Management” – By Farhan Rasheed, published in the International Journal of Supply Chain Management (IJSCM).

5. “Artificial Intelligence and Its Applications in the Fashion and Textile Industry” – By Anjali Bajpai, published in the International Journal of Computer Science and Mobile Computing (IJCSMC).

6. “The Future of AI in Fashion” – By Research and Markets, a market research report available on various platforms.

7. “AI and Machine Learning for Textile and Apparel Technology” – Edited by Rajkishore Nayak and Rajiv Padhye, a comprehensive book covering AI applications in textile and apparel industries.

8. “Industry 4.0 in the Apparel Industry: A Review” – By Muhammed Said Eskandar and Christian D. Klose, published in the Journal of Textile Engineering & Fashion Technology.

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