The footwear and apparel industry is currently undergoing a fundamental production transformation from traditional labor-intensive, inventory-driven, large-scale mass production to digital flexible, on-demand customization, low-carbon and efficient, and ultra-fast market response. The past production model relying on large amounts of manual labor, fixed assembly lines, and long-cycle stockpiling can no longer adapt to consumers' personalized needs, brands' small-batch rapid-response operating strategies, and new global environmental trade regulations. At present, six major categories of core technologies are fully penetrating the entire chain of footwear and apparel design, research and development, sampling, cutting, sewing, molding, quality inspection, warehousing, and supply chain, completely reconstructing the industry's production logic and business model.

The traditional footwear and apparel new product development process is cumbersome. From hand-drawn design, physical pattern-making, repeated sampling, revision and finalization, to process implementation, the overall cycle is as long as 60-90 days, with extremely high losses in fabric, labor, and time costs. Moreover, design and production data are disconnected, making issues such as pattern deviations and difficulties in process implementation very likely. The integration of 3D digitalization and AIGC technology has completely opened up the full data link of "creative design - virtual sampling - process decomposition - factory production."

In the field of 3D digitalization, 3D footwear and apparel CAD systems, virtual fitting/virtual shoe last systems, and 3D foot scanning equipment have become standard in factories. 3D high-precision modeling can restore 1:1 physical characteristics such as fabric drape, elasticity, texture, and color, as well as shoe material hardness and fit, without the need to make physical samples, enabling pattern verification, outfit effect previews, and structural optimization. Physical sampling work that originally took 3-7 days can now be compressed to 2-4 hours, greatly reducing fabric and accessory losses, and lowering sampling costs by more than 60%. At the same time, 3D foot scanning equipment can collect hundreds of foot and body measurements within seconds, providing precise data support for personalized customization and standardized pattern iteration, and solving the industry pain point of poor adaptability in traditional patterns.

In the AIGC vertical application field, footwear and apparel-specific large models have achieved full-process intelligent empowerment. AI can automatically generate style designs, color schemes, and patterns based on fashion trends, brand positioning, and user profiles, replacing basic design work; at the same time, it can intelligently break down production processes, automatically calculate materials, labor hours, and production costs, and generate standardized production process sheets. For the factory side, AIGC can also achieve fabric matching, process optimization, and defect prediction, compressing the overall R&D cycle for new products from 90 days to 20-30 days. Designers are completely freed from the mechanical work of repetitive drawing and basic revisions, focusing on creative innovation and product iteration, achieving a qualitative leap in R&D efficiency.

Traditional footwear and apparel production lines are rigid assembly lines, suitable for large-volume, standardized orders. For small-batch, multi-style orders, production costs are high, lead times are long, and losses are large, making them unable to adapt to the current market demands of e-commerce livestreaming, niche hit products, and personalized customization. Flexible automation technology, through equipment upgrades and process optimization, breaks the limitations of traditional assembly lines and achieves flexible production with small orders, multiple styles, rapid response, and low cost.

Intelligent cutting and visual nesting systems are the foundational core of flexible production. AI intelligent nesting algorithms can automatically plan the optimal cutting layout based on fabric texture, width, and elasticity characteristics. Compared with manual nesting, fabric utilization is increased by 3%-8%, greatly reducing raw material waste. Combined with laser intelligent cutting machines and multi-layer automatic cutting machines, it can achieve both single-piece cutting and batch precision cutting modes, balancing the needs of small-order customization and large-order mass production. At the same time, equipped with AI visual defect detection, it can identify fabric damage, color differences, stains, broken yarns, and other issues in advance, eliminating defective fabrics ahead of time and reducing rework and defect rates from the source.

Intelligent hanging systems and specialized production robots achieve automated process flow. The RFID intelligent hanging system on the garment production end can bind each semi-finished product to a work order, track it throughout the entire process, and automatically schedule flow based on process priority, solving the problems of traditional manual handling, process accumulation, and wrong or missing orders, increasing production efficiency by more than 30%. In the footwear field, automation upgrades are even more thorough. Specialized equipment such as automatic glue brushing, intelligent roughing, robotic sole pressing, and robotic arms for upper stitching replaces core processes that traditionally relied heavily on the experience of master craftsmen. Standardized operations completely solve the industry problems of large manual operation errors, unstable quality, and shortage of skilled workers. A new generation of embodied intelligent robots can autonomously learn complex process parameters and adapt to the production needs of different shoe types and materials, greatly improving versatility.

Integrated molding disruptive technology completely simplifies the production chain. Flyknit one-piece upper technology directly weaves a complete upper through intelligent knitting machines, eliminating more than ten traditional processes such as cutting, splitting, stitching, and edging, greatly streamlining the production process; TPU hot-melt spray molding technology uses robotic arms to precisely spray on the surface of the shoe last, forming a seamless upper in one step, with no splicing gaps and stronger stability; 3D printed shoe molds and finished shoe technology can quickly print customized shoe molds, shortening mold development cycles by more than 50%. Integrated lattice molding of finished shoes can reduce hundreds of processes to within 5, perfectly adapting to small-batch production scenarios for limited editions, customized styles, and event-exclusive styles.

Equipment automation is only the foundation of production upgrading. The full-domain integration of digital systems is the core of achieving production model innovation. Traditional footwear and apparel factories suffer from fragmented orders, production, materials, warehousing, and data, with prominent pain points such as chaotic scheduling, material backlog, uncontrollable delivery times, and inventory accumulation. An industrial software system centered on MES, ERP, SCM, and digital twins builds a factory digital brain, enabling full-process visualization, intelligence, and schedulable production.

As the core of the workshop, the MES manufacturing execution system takes on brand order requirements and enables automatic scheduling, process allocation, equipment monitoring, quality traceability, and work-hour statistics. It synchronizes production progress, yield rate, and equipment status data in real time. Managers can monitor workshop production in real time through visual dashboards and quickly respond to emergencies such as rush orders, order changes, and equipment failures. The ERP system coordinates enterprise materials, inventory, costs, and financial data. The SCM supply chain collaboration platform breaks down data barriers among brands, factories, fabric suppliers, and accessory manufacturers, enabling on-demand material procurement and precise delivery, thoroughly solving problems of raw material accumulation and production stoppage due to material shortages. Under the linkage of multiple systems, traditional order delivery times of several months can be compressed to 7-15 days, and small-batch orders can achieve production costs close to those of large-batch orders.

Digital twin factory technology enables virtual simulation production. Through a 1:1 virtual replica of workshop production lines, equipment, and material flow scenarios, it can simulate new product trial production, order scheduling, and equipment operating status in advance, predict production bottlenecks, process defects, and energy waste, optimize production plans ahead of time, and greatly reduce trial production losses and production risks. At the same time, combined with IoT and RFID technology, it enables full life cycle traceability of individual items. Production processes, materials, energy consumption, and quality inspection data are all bound to individual items, allowing precise calculation of product carbon footprints, meeting foreign trade compliance requirements such as the EU CBAM carbon tariff and REACH environmental regulations, and helping enterprises go global.

Traditional footwear and apparel quality inspection relies entirely on manual visual inspection, which has problems such as low efficiency, inconsistent standards, high missed inspection rates, and high labor costs. Subtle defects such as color differences, uneven stitch spacing, glue overflow, skipped stitches, and fabric flaws are easily overlooked, leading to defective finished products flowing out and brand after-sales disputes. AI machine vision quality inspection technology completely reconstructs the quality control model, achieving full-process, full-coverage, high-precision intelligent quality inspection.

Currently, AI visual equipment can cover the entire process of fabric pre-inspection, semi-finished product process quality inspection, and finished product full inspection. In the early stage of production, it detects raw material issues such as fabric yarn breakage, holes, color differences, and stains; during production, it identifies process defects in real time such as stitching stitch length, seam smoothness, upper gluing uniformity, and fitting deviation; in the finished product stage, it intelligently detects issues such as size deviation, appearance defects, and logo alignment errors. AI quality inspection accuracy far exceeds manual work, reducing the missed detection rate to below 0.5%, and inspection efficiency is 5-8 times that of manual work. At the same time, it unifies quality inspection standards, avoids manual subjective judgment errors, stabilizes product yield, and greatly reduces rework and scrap losses.

Against the backdrop of global dual-carbon policies, upgraded environmental regulations in various countries, and the spread of consumers' green consumption concepts, the traditional production model with high water consumption, high pollution, and high emissions has been eliminated. Green and low-carbon technology has become the core competitiveness for footwear and apparel enterprises to survive and go global, comprehensively innovating core processes such as dyeing and printing, leather making, molding, and waste treatment.

Water-saving and emission-reduction processes have achieved disruptive upgrades in the dyeing and printing stage. Traditional fabric dyeing consumes large amounts of water and causes serious wastewater pollution. Waterless dyeing and supercritical CO₂ dyeing technologies require no water and no salt, completely eliminating the discharge of dyeing and printing wastewater, reducing energy consumption by more than 40%, and providing higher color fastness and better fabric hand feel. In the field of shoe midsoles, supercritical CO₂ foaming technology replaces traditional chemical foaming agents, with no harmful residues and significantly reduced carbon emissions, while also improving midsole rebound and lightweight performance, becoming the mainstream process for leading brands such as Anta, Li-Ning, and On.

Clean production process optimizes environmental indicators across the entire production chain. The leather industry's chrome-free tanning technology replaces traditional heavy metal tanning processes, completely eliminating chromium pollution and aligning with international environmental standards; in the shoemaking and garment sectors, enclosed low-VOC automatic adhesive spraying and water-based eco-friendly adhesive processes are adopted to precisely control adhesive usage, reduce volatile organic compound emissions, improve workshop production environments, and simultaneously meet European and American market access requirements.

Circular regeneration technology builds a closed-loop production system. Through technologies such as waste plastic PET recycling and pelletizing, disassembly and regeneration of old shoes and clothing, and recycling and reuse of scraps, industrial waste is reconverted into shoe and apparel fabrics, accessories, and midsole materials, achieving resource recycling, reducing raw material consumption and production carbon emissions, helping enterprises achieve carbon neutrality goals, and adapting to global sustainable development trends.

Shoe and apparel production processes are fragmented, material categories are complex, and semi-finished products circulate frequently. Traditional manual handling and warehousing management models are inefficient, prone to errors and omissions, and suffer from chaotic inventory. 5G communication, AGV intelligent handling robots, and intelligent stereoscopic warehousing systems enable automated, intelligent, and efficient operation of workshop logistics and warehousing, completing the final link of flexible production.

5G full-area coverage ensures low-latency interconnection of workshop data, enabling real-time data transmission among all smart devices, vision systems, and MES systems, ensuring collaborative operation of equipment and synchronized data updates, and eliminating production errors caused by data delays. AGV intelligent robots are responsible for automatic handling of fabrics, accessories, semi-finished products, and finished products throughout the workshop, precisely connecting to each process workstation, replacing repetitive manual handling work, and improving material circulation efficiency. The intelligent stereoscopic warehousing system enables automatic inbound, storage, inventory counting, and outbound of raw materials and finished products, digitally and precisely controlling inventory data, eliminating material backlog, shortages, and expiration losses, and increasing inventory turnover by more than 40%.

1. Gradual Upgrade (Mainstream Factory Implementation Model)

2. Disruptive Innovation (Frontier Pilot by Leading Enterprises)

Basic Exhibition Information: 2026 Vietnam International Textile and Apparel Machinery Exhibition (VTG, 24th Edition) + Vietnam International Footwear Machinery and Materials Exhibition (VFM), held concurrently with VITATEX Fabrics and Accessories Exhibition and DYECHEM Dyes and Chemicals Exhibition, four exhibitions co-located; Exhibition period: October 14–17, 2026; Venue: Saigon Exhibition and Convention Center (SECC), Ho Chi Minh City; Opening hours 09:00–17:00, closing at 15:00 on the last day; Guangdong Footwear Machinery Association (GISMA) serves as one of the co-organizers.

As the most influential industry event in the Southeast Asian footwear and apparel industry chain, VFM & VTG focuses on the huge footwear and apparel OEM clusters in Vietnam, ASEAN, and South Asia. It is expected to gather more than 1,000 exhibitors from over 30 countries worldwide, receive 20,000+ global professional buyers, cover more than 70% of Vietnam's shoe factories, and directly reach the supply chain systems of multinational footwear and apparel brands (leading OEM factories such as Pou Chen and Feng Tay). The exhibits at the exhibition correspond exactly to the six major transformative technologies mentioned above, with on-site live equipment demonstrations and overall production line solutions:

Against the backdrop of the global supply chain continuing to shift to Southeast Asia, factories in Vietnam generally face labor shortages and pressure from European and American ESG and CBAM carbon tariffs. VFM & VTG 2026 is precisely the core trade platform for implementing the above-mentioned digitalization, automation, and green production technologies in Southeast Asian manufacturing bases, helping local shoe factories complete gradual intelligent transformation, while also showcasing cutting-edge disruptive manufacturing solutions such as one-piece molding and digital twins, creating on-site technical exchange, production line testing, and order negotiation scenarios for brands, equipment manufacturers, and material suppliers.