Artificial intelligence (AI) is reshaping the industrial architecture and underlying infrastructure, reshaping productivity and production relations. The development of intelligent economy has become an important opportunity for industrial transformation and upgrading and the realization of lane overtaking. To grasp the opportunity of artificial intelligence, China's textile industry needs to return to the essence, strengthen research in vertical fields, achieve breakthroughs in key scenarios, and build a rich application ecology; To grasp the air of artificial intelligence, it is necessary to have a moderate forward-looking layout, integrate fragmented scenes, precipitate high-quality data, do a good job of "AI+ textile", and structure design, manufacturing, marketing, and brand building on "big data + large computing power + strong algorithm". In order to deeply analyze how AI will participate in the development of the textile industry at present and in the future, and empower the whole industry, we will launch the "AI+ Textile" column to introduce the development and trend of AI in the industry, and promote the development of new quality productivity in the industry.
The application of AI in the field of brand channels and end consumption in the textile and garment industry
AI in brand channels and end-consumption applications can be analyzed from three aspects: application of innovative scenarios, challenges faced and development trends.
The application of AI in innovative scenarios in the field of brand channels and end consumption
Enabling content marketing based on generative AI
Compared with the traditional AI-generated content enabling marketing, it has significantly improved in efficiency and speed, personalization and accuracy, and cost effectiveness, including AI text, AI picture generation, and AI video editor.
The meta-universe of virtual marketing based on meta-universe technology has moved from concept to the foreground, from technology-driven to capital intervention to policy support. August 2023, work
The Ministry of Information and other five departments issued the Three-year Action Plan for the Innovation and Development of the Meta-Universe Industry (2023-2025), promoting the meta-universe technology to become an important growth pole of the digital economy. The virtual marketing methods in the meta-universe era mainly include digital people virtual anchors, AI intelligent customer service, and virtual broadcast scenes.
Personalized consumption experience through self-customization AI personalized self-customization mode through the accurate measurement of size, recommend style preferences, provide creative inspiration three aspects
Function, so that consumers in the independent and convenient shopping at the same time, feel the fun of creation, in order to embrace the AI era of "design equality".
Create a convenient consumer experience through virtual testing Virtual fitting combines technologies such as artificial intelligence, augmented reality (AR), image processing and 3D modeling to provide a hands-on experience
Try on, buy on site, you can see the textile clothing wearing, home effect of a convenient way.
Accurately forecast consumer demand with the help of user portraits
AI technology can build multi-dimensional user portraits through data mining analysis, and realize a variety of complex tasks and functions through self-learning and transfer learning with the help of artificial intelligence large model, that is, deep learning model with ultra-large scale parameters and data, which is different from the traditional "sales data analysis + market research + customer feedback" consumer demand forecasting model. It greatly improves the timeliness and accuracy of consumer demand forecasting. The main application scenarios include building user profiles through data mining analysis and increasing purchase conversion rates through personalized recommendations.
Support efficient supply chain management with data model
Through big data analysis and forecasting models, AI can accurately predict raw material demand, optimize inventory levels, reduce excess and shortage risks, reduce costs and improve operational efficiency, breaking through the limitations of traditional supply chain management, such as insufficient prediction accuracy, slow response speed, inventory imbalance, difficult cost control, poor information transmission, and cumbersome decision-making process. The main applications include: accurate supply through data analysis, intelligent replenishment through real-time monitoring of inventory, and optimization of inventory structure through analysis of out-of-stock and sluggish sales.
The challenges facing the application of AI in the field of brand channels and end consumption
Although AI has broad application prospects in the field of brand channels and terminal consumption, it still faces many difficulties and challenges in the actual application process. In the field of brand channels and end consumption, the application of AI technology needs to ensure that users feel a seamless, convenient and personalized experience throughout the shopping process. However, the current AI system may be due to insufficient algorithm optimization or design defects, resulting in inaccurate recommended content, complex interactive interfaces or slow response, which will affect user satisfaction and loyalty.
The application of AI in brand channels and end consumption is highly dependent on data, including user behavior data, transaction data, market trends, and so on. However, the integrity and accuracy of the data directly affect the accuracy and effectiveness of AI decisions. Missing, incorrect, or inconsistent data can lead to biases in AI recommendation systems and even mislead users.
Talent limitation
In the in-depth application of AI in brand marketing and channels, the demand for talents is highly complex and specialized. At present, compound talents who are proficient in AI technology and have a deep understanding of business logic such as marketing and consumer behavior are extremely scarce. The incomplete grasp of AI technology will directly affect the algorithm optimization and model establishment process of AI in brand marketing and channel application. Restrict the potential release of AI in improving brand market response speed, deepening consumer interactive experience, and optimizing marketing strategies.
Data privacy security
The issue of data privacy and security is particularly important in the field of textile and apparel brands, as there is a large amount of sensitive information about consumer preferences, body size, purchase history and so on. The operation of AI technology depends on the collection and processing of a large amount of data, and how to ensure the security of these data and prevent data leakage has become a problem that brands must face. The development trend of AI application in brand channels and end consumption
The omnichannel supply chain of clothing brands will achieve digital intelligence collaboration, greatly improving operational efficiency and response speed. Through deep learning and data analysis, AI technology can more accurately predict market demand and guide all links of the supply chain to make flexible adjustments; Big data technology can collect and integrate massive data from online and offline channels to provide comprehensive support for brand decision-making; Cloud computing provides powerful data processing and storage capabilities to ensure efficient flow and sharing of data. The Internet of Things technology enables all links in the supply chain to be closely connected, enabling real-time monitoring and intelligent scheduling. The integration and application of these technologies will accelerate the digital intelligent collaboration of the omnichannel supply chain and achieve transparency, intelligence and high efficiency.
The integrated development of online and offline channels continues to strengthen the AI-enabled clothing brands, which will pay more attention to the integrated development of online and offline, providing consumers with more convenient and convenient products
Sexualized shopping experience. The online platform uses big data and AI technology to accurately push personalized product information and preferential activities, attracting consumers' attention and facilitating transactions. Offline stores enhance consumers' immersive shopping experience through the introduction of AR, VR and other technologies. At the same time, online and offline will achieve seamless connection, consumers can browse products online, place an order to buy, and then try on offline stores, pick up or return goods. This integrated development model can not only improve the shopping experience of consumers, but also promote the growth of brand sales.
New formats of fashion retail are constantly taking shape
With the continuous development of AI, more new formats will emerge in the clothing industry. For example, personalized customization services based on big data analysis will become more and more popular, and consumers can customize unique clothing products according to their needs and preferences; Smart retail and unmanned stores and other emerging formats will gradually rise, through automation and intelligent means to reduce labor costs, improve operational efficiency; Intelligent warehousing and logistics systems based on the Internet of Things technology will also be widely used to achieve accurate inventory management and rapid distribution. The formation of these new formats will further promote the upgrading and transformation of clothing brand channels.