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Monday, 14 September 2026 16:02

Winterquilts integrates digital costing platform across production lines

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Sri Lankan apparel manufacturer Winterquilts has officially integrated Coats Digital’s GSDCost and the artificial-intelligence-driven GSDQuest platform across six core production lines. Facing tighter fulfillment windows and mounting margin pressures, the manufacturer deploys the software to automate complex garment engineering for jersey knits, athleisure, woven shirts, ladies’ fashion, and childrenswear. While legacy manual estimation frequently creates bottlenecks, GSDQuest evaluates garment photographs through the proprietary QED Library to compile an immediate Bill of Labor. According to industry analysts, this digital transition reduces initial costing time by over 90 per cent, granting industrial engineering teams unprecedented velocity during early-stage product development and buyer approvals.

Strategic expansion and supply chain transparency

Operating four state-of-the-art facilities with a workforce exceeding 3,000 employees, Winterquilts manufactures approximately 700,000 garments monthly for international retail giants such as Marks & Spencer. Alongside automated labor calculations, the producer has embedded complementary digital modules including the Fair Wage Tool and Material Size Factor analytics to elevate operational compliance. Eliminating estimation discrepancies protects our operating margins while satisfying rigorous governance demands from global retail partners, notes a Senior Manufacturing Executive, Winterquilts. By standardizing international Standard Minute Values, the firm secures long-term competitiveness amidst volatile raw material.

Targeting aggressive export growth across global markets

Winterquilts is a prominent Sri Lankan apparel manufacturer and exporter boasting over three decades of textile heritage. Supplying major international fashion brands across four active production plants, the company targets aggressive export growth and enhanced digital efficiency to drive financial performance across global markets.