The textile industry is navigating one of its most complex periods in recent history. Geopolitical tensions, trade tariffs, rising labor costs, and ongoing supply chain uncertainties are forcing manufacturers to rethink not only how they produce textiles, but also how they make business decisions.
During my interview with Summer Hsia, Marketing at the Textile Division of Stäubli, at ITM 2026, one message stood out clearly: the future of textile manufacturing will belong to companies that combine automation with data-driven decision-making.
Turning Data into Competitive Advantage
According to Summer Hsia, today’s challenges require more than high-performance machinery.
Stäubli is increasingly using production data and advanced analytics to support faster, smarter decision-making across the organization while helping customers respond more effectively to changing market conditions.
Rather than reacting after problems occur, the company is embedding data analysis into its long-term strategy to improve agility, operational efficiency, and customer support. As Hsia explained, becoming a data-driven company is no longer an option—it is becoming a necessity in an increasingly unpredictable business environment.
Automation Is No Longer About Replacing Labor Alone
One of the strongest messages from our discussion was that automation has evolved beyond reducing manual work.
According to Hsia, manufacturers are now investing in automation to address several critical challenges simultaneously, including:
- Rising labor costs
- Workforce training
- Operational consistency
- Faster decision-making
- Production quality
Automation has become an essential tool for helping weaving mills remain competitive while operating with greater flexibility and fewer disruptions.
Smart Technologies Supporting Modern Weaving Mills
Stäubli showcased several technologies that reflect this strategy. The company’s Active Warp Control (AWC) 2.0, integrated into the Sapphire drawing-in machine, uses intelligent sensors to improve yarn handling quality and reduce preparation errors before weaving even begins.
Hsia also highlighted Typeo, Stäubli’s latest knotting system, which features an intuitive user interface designed to shorten training time for new operators while simplifying daily machine operation.
On the Jacquard side, Stäubli’s NOEMI electronic concept helps reduce energy consumption while the TC8 hook control system provides valuable performance data, allowing weaving mills to monitor machine behavior and optimize production efficiency.
Together, these technologies illustrate how automation, digitalization, and machine intelligence are becoming increasingly interconnected.
Read more: Stäubli solutions on display at ITM Istanbul 2026
Digitalization Is Changing the Role of Textile Machinery
One of the most interesting observations from our conversation is that textile machinery is gradually evolving into an information platform. Machines are no longer expected simply to produce fabric.
They are expected to generate operational data, monitor performance, identify potential issues, and support continuous process improvement.
This represents a significant shift for the weaving industry. Competitive advantage will increasingly depend not only on machine performance but also on how effectively manufacturers use production data to optimize their operations.
Preparing Mills for the Next Generation of Manufacturing
Despite the uncertainties affecting the global textile industry, Stäubli continues to invest in technologies that make weaving mills more intelligent, more efficient, and more resilient. From smart sensors and intuitive software to energy-efficient electronics and data-based monitoring systems, the company’s strategy reflects the industry’s broader digital transformation.
My conversation with Summer Hsia reinforced an important conclusion.
The future of textile manufacturing will not simply be automated. It will be data-driven, enabling manufacturers to make faster decisions, improve operational efficiency, and respond more effectively to whatever challenges the market presents next.
