The challenge of recycling textiles at scale is immense. Mixed materials, color variations, and contaminants have historically made it difficult to produce high-quality recycled fibers. However, Artificial Intelligence (AI) is rapidly changing the game, and JAYQO is at the forefront of this technological revolution.
AI-Powered Sorting
One of the most significant bottlenecks in textile recycling is sorting. Manual sorting is slow, labor-intensive, and prone to error. Our shared technology hub utilizes advanced spectroscopic sensors combined with AI algorithms to identify and sort textiles by fiber composition, color, and quality with incredible speed and accuracy. This ensures that we create pure, high-quality feedstock for our recycling processes, resulting in superior yarn and fabric.
The JAYQO ERP: A Brain for the Cluster
Beyond sorting, AI is the backbone of our entire operation. The JAYQO Recycle ERP solution provides real-time tracing and management for every step of the process. From the moment an MSME sells waste to us, to the production of yarn, and its final sale to a factory, every transaction and transformation is tracked.
This AI-powered system allows us to:
- Detect Anomalies: Our system constantly analyzes data streams for unusual patterns, such as a sudden drop in waste quality from a supplier or a delay in production, allowing for proactive problem-solving.
- Optimize Logistics: We can predict waste supply and yarn demand, optimizing collection routes and delivery schedules to reduce costs and carbon footprint.
- Ensure Transparency: All stakeholders, from the MSME waste collector to the final brand buyer, can access a transparent record of their materials' journey, providing unparalleled traceability and trust.
By investing in and sharing this powerful technology, we are not just improving our own efficiency; we are upskilling the entire MSME ecosystem, making the circular economy in Bangladesh smarter, faster, and more profitable for everyone involved.