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AI fitting ignites consumer experience upgrade, how can clothing enterprises efficiently undertake new opportunities through Shuntong Clothing Intelligent ERP?

In recent years, AI fitting has rapidly become a "weapon" for clothing brands to attract traffic and improve conversion, thanks to its immersive experience, reduced decision-making costs, and reduced returns and exchanges, igniting a comprehensive upgrade of consumer experience.

When consumers lightly tap their mobile phone screen, the virtual image puts on the latest dress, and can freely switch colors, adjust sizes, and view the dressing effect in real time - this is not a sci-fi scene, but a normalized application of AI fitting technology on the clothing consumption end. In recent years, AI fitting has rapidly become a "weapon" for clothing brands to attract traffic and improve conversion, thanks to its immersive experience, reduced decision-making costs, and reduced returns and exchanges, igniting a comprehensive upgrade of consumer experience. ​

But the transformation of the consumer side will inevitably force the reconstruction of the supply side. AI fitting makes consumers' needs more personalized and orders more fragmented, which puts unprecedented high demands on clothing companies' order response speed, production collaboration efficiency, inventory accuracy, and so on. At this point, a management system that fits the characteristics of the clothing industry and can connect the entire chain has become the key for enterprises to undertake the traffic dividends brought by AI fitting. The Shuntong Clothing Intelligent Manufacturing ERP launched by Cixi Shuntong Network Technology Co., Ltd. is becoming a "bridge" for clothing enterprises to seize this opportunity with its core advantages of lightweight and easy-to-use, and deep industry customization. This article will analyze how clothing companies can efficiently seize the new opportunities brought by AI fitting through the system from five dimensions: orders, production, inventory, supply chain, and data decision-making. ​

1、 Order side: Multi terminal collaboration, quickly accepting the fragmented needs brought by AI fitting

AI fitting has broken down the barriers between online and offline consumption. Consumers may place orders through AI fitting on brand mini programs, or experience virtual fitting in stores and make transactions on the spot. They may even request personalized customization, which makes the characteristics of scattered order sources and fragmented demand increasingly evident. The order and ordering module of Shuntong Clothing Intelligent Manufacturing ERP precisely solves this pain point. ​

This module supports multiple operations such as WeChat self-service ordering and Pad store opening, perfectly adapting to the multi scenario ordering needs of AI fitting. After consumers complete their selection through AI fitting, their orders can be synchronized to the ERP system in real time, without the need for manual secondary input. This not only reduces errors and omissions, but also achieves efficient circulation of "fitting and placing orders simultaneously". In response to the high frequency of multi-color and multi size requirements in AI fitting, the system supports multi-color, multi size, and multi image display and management, with clear and traceable order information. At the same time, the system's delivery time warning and debt limit control functions can help enterprises accurately control delivery time and reduce payment risks when undertaking massive fragmented orders. For example, after a fast fashion brand integrated AI fitting, the online order volume surged by 30%. With the multi terminal order receiving function of Shuntong ERP, the order processing efficiency increased by 40%, and the error rate decreased to below 1%. ​

2、 Production end: Intelligent scheduling+QR code counting, adapted to personalized production needs

The popularization of AI fitting has made personalized production in small and multiple batches the norm. After experiencing AI fitting, consumers may suggest modifications to the details of the clothing, or choose niche sizes or customized color schemes, which requires the production end to have the ability to respond quickly and produce flexibly. The production planning and scheduling, workshop and piece rate modules of Shuntong Clothing Intelligent Manufacturing ERP provide solid support for flexible production. ​

In the production planning stage, the system can automatically generate a production plan based on the order data brought by AI fitting, and complete intelligent material calculation through the BOM module. Whether it is mass production of standard sizes or individual production of personalized customization, the system can accurately calculate the amount of fabric and accessories used, reducing material waste. At the same time, the real-time transparency function of production progress allows enterprise management personnel to grasp the production status of the workshop at any time, flexibly adjust the production schedule according to the urgency of AI fitting orders, and shorten the delivery cycle. At the workshop execution level, electronic work tickets and scanning code counting functions have solved the problems of difficult counting and slow progress in personalized production. Workers can record the completion status of the process by scanning the code, and piece rate wages are automatically calculated, which not only improves workers' enthusiasm but also achieves process traceability. For categories such as sweaters that involve outsourcing, the outsourcing circulation function of the system can break down the information barriers between enterprises and outsourcing factories, ensuring smooth circulation of personalized orders throughout the entire production chain. ​

3、 Inventory side: All channel synchronization, solving the inventory management problem caused by AI fitting

Although AI fitting has lowered the decision-making threshold for consumers, it has also increased the complexity of inventory management. On the one hand, AI fitting makes it more difficult to predict the explosive growth of popular items, which can lead to inventory backlog or stockouts; On the other hand, the multi-channel ordering model requires real-time inventory synchronization to avoid the awkward situation of "online display of goods, offline out of stock". The inventory and warehousing module of Shuntong Clothing Intelligent Manufacturing ERP has solved this problem for enterprises with its omni channel collaboration capability. ​

The system supports scanning for inbound and outbound inventory to ensure real-time updates of inventory data. After AI fitting orders are generated, the inventory quantity is automatically deducted to avoid overselling. The multi warehouse collaboration function can achieve inventory sharing between different stores and warehouses. When a channel is out of stock, the system can quickly allocate goods from other warehouses to ensure order delivery. At the same time, the intelligent replenishment function analyzes the browsing and ordering data of AI fitting, accurately predicts the demand for popular items, and automatically generates replenishment plans, reducing inventory backlog and avoiding out of stock losses. In addition, the label printing function can achieve full lifecycle management of clothing from warehousing to outbound, coupled with omni channel synchronization function, allowing enterprises to clearly grasp the flow of each item and provide efficient inventory guarantee for the massive orders brought by AI fitting. ​

4、 Supply Chain End: Intelligent Collaboration, Building the Supply Foundation for Personalized Demand

The personalized consumption driven by AI fitting has put forward higher requirements for the stability and response speed of the supply chain. Clothing companies need to quickly connect with suppliers to ensure timely delivery of fabrics, accessories, etc., in order to support flexible production. The procurement and supplier module of Shuntong Clothing Intelligent Manufacturing ERP has built a solid foundation for the enterprise's supply chain through intelligent collaboration capabilities. ​

The intelligent procurement planning function of the system can automatically generate purchase orders based on production plans and inventory data, and accurately push them to cooperative suppliers. Suppliers can view order requirements in real-time through the system, arrange production and shipment in a timely manner, and achieve delivery coordination. At the same time, the supplier management function can evaluate the delivery speed and product quality of partners, help enterprises screen high-quality suppliers, and establish a stable supply chain system. For example, a clothing brand launched a customized children's clothing series through AI fitting. With the help of Shuntong ERP's procurement module, it quickly connected fabric suppliers and printing factories, shortening the supply chain response cycle for customized orders by 25% and greatly improving consumer satisfaction. ​

5、 Data side: Multi dimensional analysis drives accurate decision-making in AI fitting scenarios

AI fitting is not only a consumer tool, but also an entry point for data collection. Consumer try on records, size preferences, color choices, dwell time, and other data contain enormous commercial value. The report and analysis module of Shuntong Clothing Intelligent Manufacturing ERP can deeply integrate these consumer data with the enterprise's order, production, inventory, and financial data, providing multi-dimensional decision support for the enterprise. ​

The system can generate order analysis reports, clearly presenting core indicators such as sales volume, unit price, conversion rate, etc. of AI fitting orders; Inventory analysis reports can help companies grasp the inventory turnover of popular items and optimize inventory structure; Piece rate and financial statements provide data basis for enterprises to calculate costs and adjust pricing. With the help of these data, clothing companies can accurately grasp consumer preferences. For example, based on AI fitting data, if they find that the blue size M of a certain dress is the most popular, they can adjust their production plans and increase production efforts for that specification; At the same time, it can optimize the product display strategy of AI fitting based on data, enhance user experience, and form a virtuous cycle of "data-driven operation, operation optimization experience". ​

Conclusion

The consumer experience upgrade triggered by AI fitting is not only a new opportunity for the clothing industry, but also a big test for the supply side. Shuntong Clothing Intelligent Manufacturing ERP, with its targeted capabilities in order taking, production collaboration, inventory management, supply chain collaboration, and data decision-making, has built an efficient bridge connecting the consumer and supply sides for clothing enterprises. It does not require complex customized modifications, and can be quickly deployed and used by small, medium, and large clothing enterprises, especially suitable for enterprises in multi-color and multi size, wholesale/store, sweater outsourcing, and other scenarios. ​

Faced with the consumption wave brought by AI fitting, clothing companies no longer need to worry about fragmented orders, flexible production, inventory control and other issues. With the help of Shuntong Clothing Intelligent Manufacturing ERP, enterprises can focus more on product innovation and user experience improvement. In this transformation of consumer upgrading, they can firmly grasp the initiative of competition and achieve sustained business growth.

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