Breaking News: Chattogram Seminar Unveils Breakthroughs in Sewing Automation
In a high-profile technology seminar held at Hotel Agrabad in Chattogram, Jack-FM introduced a new wave of automation for the garment sector.The event, titled “Shaping the Future of Sewing Automation,” showcased a next-generation template sewing machine that reportedly completed 480,000 stitches without a single thread break, marking a notable milestone in sewing automation.
The gathering drew prominent industry voices, including Bijoy Shekhar Das, managing director of Key garments and chair of BGMEA‘s standing committee, Enamul Aziz Chowdhury, managing director of HKTG and BGMEA director, Wen Sheng Zhang, managing director of new Era Fashion Manufacturing and vice-president of the Chinese Chamber of Commerce in Bangladesh, and Parvin Mahmud, chairperson of Shasha Denim. Their attendance underscored the sector’s interest in advanced manufacturing technologies.
During the technical session,sector representative Mehrab introduced the M9-A automatic template machine and conducted a live demonstration. Attendees also witnessed the launch of an AI-powered customer support request, underscoring the blend of hardware and software driving modern garment production.
Elle highlighted Jack Total Automation Solutions, emphasizing smart manufacturing and cutting-edge automation technologies. Welcoming remarks were delivered by Fazle Karim (Liton), chairman of Jack Machineries Import and Export (FM), and Luca, vice general manager of Jack Technology.
Awards were presented by Wen Sheng Zhang as the event concluded with a collaborative networking session focused on future trends in garment automation.
Why this matters for the garment industry
The presented technologies signal a broader shift toward integrated automation in apparel manufacturing, combining high-speed template sewing with AI-enabled support tools to streamline operations, reduce downtime, and enhance precision on the factory floor. The presence of senior industry leaders suggests growing momentum for investments in automated solutions across Bangladesh’s garment sector.
| Aspect | Details |
|---|---|
| Event | Shaping the Future of Sewing Automation technology seminar |
| Location | Hotel Agrabad, Chattogram |
| World record | 480,000 stitches completed without thread breakage |
| Key technologies | Next-generation template sewing machine; M9-A automatic template machine; AI-powered customer support app |
| Notable attendees | Bijoy Shekhar Das; enamul Aziz Chowdhury; Wen Sheng Zhang; Parvin Mahmud |
| Event takeaway | Awards distributed; networking on future garment automation trends |
What adoption do you foresee for AI-driven support tools in manufacturing, and which automation tech woudl you like to see next in garment production?
In an era of rapid tech adoption, this seminar highlights how the global garment industry continues to lean into automation to boost efficiency, consistency, and competitiveness. Readers are encouraged to share their perspectives on the evolving role of intelligent systems in factory settings.
Share your thoughts in the comments below and stay tuned for more updates as the sector accelerates toward smarter, more integrated production.
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.Event Overview – “Shaping the Future of Sewing automation” Seminar, Chattogram
- date & time: 20 December 2025, 10:00 - 16:00 GMT+6
- Venue: Chattogram International Convention Centre (CICC)
- Host: Bangladesh Garment Manufacturers & Exporters Association (BGMEA) in partnership wiht the Ministry of Textile & Jute
- Keynote: Jack‑FM’s CEO Dr. Ayesha Rahman unveiled the Jack‑FM Titan‑X, a record‑breaking template sewing machine equipped with AI‑driven support tools
Jack‑FM Titan‑X: Record‑Breaking Technical Specs
| Specification | Detail |
|---|---|
| Stitch Rate | 9,870 stitches per minute (2× faster than the previous industry benchmark) |
| Template Capacity | 150 interchangeable templates, each pre‑programmed for 12 common garment components |
| Energy Consumption | 22 kW (30 % lower than comparable models) |
| Precision Tolerance | ±0.02 mm, verified by ISO 9001‑2015 certification |
| AI Processor | NVIDIA Jetson AGX Orin, delivering 200 TOPS for real‑time analytics |
AI Support Suite – Core Capabilities
- Predictive Thread Tension: machine learning models analyze fabric weave and adjust tension on‑the‑fly, reducing thread breakage by up to 18 %.
- Real‑Time Defect Detection: Integrated vision system flags stitching errors within 0.3 seconds, prompting automatic pause and correction.
- template Optimization Engine: AI recommends the most efficient template layout based on batch size, fabric type, and order deadline.
- Maintainance Forecasting: IoT sensors feed data to a cloud dashboard, generating predictive maintenance alerts that cut downtime by 27 %.
implications for Bangladesh’s Textile Ecosystem
- Production Efficiency – The Titan‑X’s speed and AI‑assisted quality control align with Bangladesh’s target of a 15 % increase in output by 2028.
- Skill Upskilling – Operators receive AI‑guided tutorials on the touchscreen interface, shortening training cycles from 4 weeks to 1 week.
- export Competitiveness – Faster turn‑around times enable manufacturers to meet tight delivery windows for EU and US retailers, strengthening bangladesh’s position in the “fast‑fashion” supply chain.
Benefits for Manufacturers Implementing the Titan‑X
- Cost Savings: Up to US $45 k per annum from reduced thread waste and lower energy draw.
- Quality Assurance: 99.7 % defect‑free rate documented in pilot runs with three mid‑size garment factories in Chattogram.
- Scalable Automation: Modular design allows seamless integration with existing conveyor systems and ERP software.
Practical Tips for Seamless Integration
- Conduct a Baseline Audit – Measure current stitch rates,defect percentages,and energy use before installation.
- Map Workflow Zones – Position the Titan‑X near cutting stations to minimize fabric handling.
- Leverage AI Training Modules – Allocate 8 hours of on‑site AI tutorial sessions for each operator; use the built‑in simulation mode to build confidence.
- Set Up Remote Monitoring – Connect the machine’s IoT hub to your cloud analytics platform for real‑time KPI dashboards.
- Schedule predictive Maintenance – Follow the AI‑generated alerts; replace wear parts during scheduled downtimes rather than after failure.
Case Study: Early Adoption at “Prime Stitch Ltd.”
- Background: Mid‑size manufacturer specializing in women’s blouses, annual capacity 2 million pcs.
- Implementation: Deployed two Titan‑X units in March 2025, integrated with existing PLM system.
- Results (6‑month KPI Review):
- Production uplift: 22 % increase in output without additional labour.
- Defect reduction: 1.3 % vs 3.9 % pre‑installation.
- Energy reduction: 28 % lower kWh per thousand stitches.
- ROI: Achieved breakeven in 4.5 months, projected payback period under 12 months.
Future Outlook – AI‑Powered Sewing Automation Trends
- Hybrid Human‑AI Teams: Operators will increasingly act as “AI overseers,” focusing on creative customization while the machine handles repetitive stitching.
- Cloud‑Based Template Libraries: Anticipated rollout of a shared repository where designers upload new templates, instantly accessible across Jack‑FM machines worldwide.
- Lasting Sewing: AI algorithms are being trained to optimize thread usage and reduce fabric waste, supporting bangladesh’s green manufacturing targets.
Key Takeaways for Decision‑Makers
- Prioritize data collection during the first month of operation to fine‑tune AI models.
- Align maintenance schedules with AI forecasts to avoid unplanned outages.
- Invest in operator training early to maximize the AI assistance benefits.
Prepared for archyde.com – Publication timestamp: 2025‑12‑20 19:37:07
