Coats Group is accelerating its push into digital manufacturing through a growing collaboration with Jack Technology, as the global apparel industry shifts toward automation, data-driven production and reduced reliance on manual labour.
The partnership, highlighted in recent industry demonstrations, brings together Coats’ expertise in threads, trims and digital solutions with Jack’s artificial intelligence-enabled sewing systems and automated production lines. The result is an integrated “smart factory” model that aims to synchronise materials, machinery and software across garment manufacturing.
The move reflects a broader strategic pivot by Coats, historically known as one of the world’s largest thread manufacturers, toward becoming a full-service provider of manufacturing solutions. In recent years, the company has expanded into digital tools for production planning, costing and performance analytics, positioning itself closer to the operational core of apparel factories.
Jack, meanwhile, has emerged as a key player in industrial sewing automation, developing intelligent machines equipped with sensors, computer vision and IoT connectivity. Its systems are designed to automate repetitive sewing tasks, reduce manual handling and improve production consistency—areas long seen as bottlenecks in garment manufacturing.
Industry experts say the combination of material science and machine intelligence is critical for automation to scale. Traditional sewing operations often face issues such as thread breakage, tension inconsistencies and fabric misalignment, which can disrupt automated workflows. By aligning thread performance with machine capabilities, the Coats–Jack model seeks to minimise such inefficiencies.
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At the factory level, the integrated system enables a continuous production flow, replacing fragmented processes that typically involve manual bundling, transport and line balancing. Orders can be fed digitally into the system, with machines coordinating material preparation, stitching and quality monitoring in real time. Data generated during production is then analysed to optimise output and predict maintenance needs.
The adoption of such technologies comes as apparel manufacturers face mounting pressure from global brands to improve speed, transparency and sustainability. Rising labour costs in key sourcing hubs, coupled with tightening compliance standards, are pushing factories to invest in automation despite high upfront costs.
“Smart manufacturing is no longer optional—it is becoming a competitive necessity,” said an industry consultant familiar with digital transformation projects in Asia. “The ability to produce faster, with fewer errors and greater traceability, is what buyers are increasingly demanding.”
For major sourcing countries like Bangladesh, the shift carries significant implications. The country’s ready-made garment sector, which relies heavily on labour-intensive processes, has been exploring ways to boost productivity and maintain competitiveness amid global supply chain realignments. The presence of Coats’ operations in Bangladesh could facilitate early adoption of integrated solutions, analysts say, although widespread implementation will depend on investment capacity and workforce adaptation.
Globally, the transition toward what some industry players call “Sewing 4.0” is still in its early stages. While fully automated garment production remains limited to specific product categories, hybrid models combining human operators with intelligent machines are gaining traction.
The Coats–Jack collaboration underscores how partnerships across different segments of the value chain are becoming essential to drive this transformation. Rather than offering standalone products, companies are increasingly delivering end-to-end ecosystems that link raw materials, equipment and data platforms.
As brands continue to prioritise speed-to-market and supply chain resilience, such integrated approaches are expected to play a growing role in reshaping how clothes are made—potentially redefining the economics of apparel manufacturing in the years ahead.
