Fabric utilization exceeds 95%, order delivery time reduced by 35%, and overall production efficiency improved by 30%—these are not the results of a new tech startup, but the achievements of Jiangsu Sunshine Group after its intelligent transformation. The veteran textile company recently earned a spot on Jiangsu Province's advanced intelligent factory list, and the five-tier digital architecture behind it is rewriting the production logic of custom garments.

From 'Experience-Driven' to 'AI-Empowered' Bottom-Up Reconstruction

The garment manufacturing industry has long suffered from common pain points such as multi-variety, small-batch, short-delivery, and fragmented demand. Traditional custom garment production is plagued by low efficiency, difficulty in standardization, and unstable delivery. Sunshine Group has built a five-tier digital architecture—device IoT, data middle platform, business collaboration, digital twin, and intelligent decision-making—reconstructing the production system from the ground up. This is not simple equipment upgrades but a complete transformation from data collection to intelligent decision-making.

The factory deeply integrates frontier technologies such as 3D digital pattern design, AI virtual fitting, 3D laser body measurement, AI visual intelligent quality inspection, global intelligent scheduling, and full-scenario digital twins. It builds an end-to-end, full-chain intelligent production system covering precise collection of customer needs, automatic generation of intelligent patterns, fully automated production, and smart warehousing with precise distribution. This means that from customer order to garment delivery, every step is data-driven.

Flexible Manufacturing: Balancing Personalization and Scale

Sunshine Group's factory has set up 12 interconnected and coordinated intelligent production units, innovatively implementing a 'material-finding-people' flexible logistics distribution model. The core value of this model is achieving flexible compatibility between personalized small-batch quick-response orders and large-volume uniform orders. For buyers, this means more controllable delivery times and more stable quality; for the factory itself, it means significantly higher capacity utilization.

The 95% fabric utilization rate is backed by a self-developed AI optimization algorithm. In traditional cutting, fabric waste is typically 5%-10%, but Sunshine Group has reduced this to below 5% through algorithm optimization. For companies with high annual fabric consumption, this directly translates into millions of yuan in cost savings.

Lean Management: Full Lifecycle Quality Traceability

In lean management, Sunshine Group has built a full lifecycle digital quality traceability platform and a dynamic supplier management system. This system enables traceability of raw materials, production quality inspection, and after-sales service. For brands and buyers, this means every custom garment has a traceable 'identity file,' effectively reducing overall procurement costs and significantly lowering inventory backlogs.

From a broader industry perspective, Sunshine Group's selection is not an isolated case. Jiangsu Province, as a major textile hub, is driving industrial upgrading through intelligent factory certifications. For small and medium-sized textile companies, Sunshine Group's practice offers a replicable transformation path: start with the most painful link—such as fabric utilization optimization or flexible scheduling—and gradually build digital capabilities.

Practical Advice

For Buyers - Prioritize suppliers with AI scheduling and intelligent inspection capabilities to significantly reduce risks of delivery delays and defect rates. - Pay attention to suppliers' fabric utilization rates; above 95% often indicates stronger cost control. - Request full lifecycle quality traceability data from suppliers for easier after-sales management and brand reputation maintenance.

For Textile Factories - Start with device IoT and data middle platforms to break down data silos in production. - Focus on 1-2 high-pain-point areas (e.g., cutting layout or quality inspection) for AI pilots, validate ROI, then scale up. - When building flexible production units, prioritize quick-response small-batch lines, then gradually expand to mainstream orders.

资料来源:全球纺织网查看原始资料
⚙
Manage your textile business with Jenny ERP
Sample · Order · Customer · Inventory · Production tracking — built for fabric mills and trading companies.
Try Free