A new push to modernize Bangladesh’s garment industry through artificial intelligence gathered momentum this week as “AITU Bangladesh,” an initiative aimed at accelerating smart manufacturing, was launched in the capital, drawing industry leaders, factory owners and technology providers.
Backed by China-based Jack Technology and Aitu Technology, the platform introduces an integrated ecosystem of AI-powered sewing, cutting and logistics solutions designed to improve productivity and efficiency in the country’s export-oriented apparel sector.
Representatives from the Bangladesh Garment Manufacturers and Exporters Association and the Bangladesh Knitwear Manufacturers and Exporters Association attended the launch alongside executives from more than 200 garment factories, reflecting growing interest in automation as manufacturers face rising costs and tighter delivery timelines.
At the center of the initiative is the Ai10+ AI Hanging System, an intelligent sewing solution that combines overhead conveyor technology with real-time data analytics and machine vision. The system monitors operator performance, balances production lines dynamically and identifies bottlenecks as they occur, enabling factories to optimize output without increasing manpower.
Industry participants said such systems could raise production efficiency by around 20 percent by reducing idle time and improving workflow coordination. The technology also allows multiple garment styles to be produced simultaneously on the same line, a shift from traditional single-style production that could help factories respond more quickly to smaller, fast-changing orders from global brands.
The AITU platform extends beyond sewing to include AI-enabled cutting systems and automated warehousing. Smart cutting solutions showcased at the event use advanced blade and vacuum technologies to improve precision while minimizing fabric waste, a key cost factor in garment production. Meanwhile, intelligent logistics systems employing automated guided vehicles and digital warehouse management tools aim to streamline the movement of materials from fabric storage to finished goods.
Bangladesh’s ready-made garment sector, which accounts for more than 80 percent of the country’s export earnings, has long relied on labor-intensive processes. However, increasing wage pressures, global competition from countries such as Vietnam and India, and the need for shorter lead times are prompting manufacturers to adopt digital technologies.
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Speakers at the launch said the initiative is intended to support a transition toward data-driven production models, often referred to as Industry 4.0, where machines, processes and supply chains are digitally connected. They emphasized that AI systems are designed to enhance worker productivity rather than replace jobs, though analysts note that demand for higher-skilled technical roles is likely to grow as automation expands.
For Bangladesh, which is preparing for the economic shifts associated with its graduation from least developed country status, improving efficiency and maintaining cost competitiveness are seen as critical. Automation initiatives such as AITU could help manufacturers offset tariff pressures and meet the evolving requirements of international buyers, who are increasingly demanding faster turnaround times and greater transparency.
Executives from Urmi Group, one of the local manufacturers present at the event, said early adoption of such technologies could provide a competitive edge in securing future orders, particularly in higher-value and more complex product categories.
While the rollout of AI-powered systems across Bangladesh’s vast garment industry is expected to take time, the scale of participation at the launch suggests that interest is building rapidly. Industry observers say widespread adoption will depend on investment capacity, training and the ability of factories to integrate new systems into existing operations.
Still, the launch of AITU Bangladesh marks a significant step toward reshaping one of the world’s largest apparel manufacturing hubs, signaling a shift from a model built primarily on low-cost labor to one increasingly driven by technology, efficiency and innovation.
