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Liang Pengcheng: Artificial Intelligence (AI) Will Become The "New Quality Productivity" That Affects The Development Of The Exhibition Industry

2024/8/27 15:08:00 6

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　　 Artificial intelligence (AI) is reconstructing the industrial structure and underlying base, and reshaping productivity and production relations. The development of intelligent economy has become an important opportunity for industrial transformation and upgrading and for achieving lane changing overtaking.

　　 To grasp the opportunity of AI, China's textile industry needs to return to its essence, strengthen the research in vertical fields, achieve breakthroughs in the application of key scenarios, and build a rich application ecology; To grasp the AI tuyere, we need to appropriately look ahead to the layout, integrate fragmented scenes, precipitate high-quality data, do a good job in "AI+textile", and build design, manufacturing, marketing, and brand building on "big data+big computing power+strong algorithm".

　　 In order to deeply analyze how AI participates in the development of the textile industry at present and in the future and empower the whole industry, we will launch the column "AI+Textile" in Action "to introduce the development and trend of AI in the industry and promote the development of new industrial productivity.

Artificial intelligence (AI) will become an influence

"New quality productivity" of exhibition industry development

Vice President of China Textile Industry Federation 、 Executive Vice President of Textile Industry Branch of China Council for the Promotion of International Trade Liang Pengcheng

　　 In recent years, generative artificial intelligence (AIGC), represented by ChatGPT and Sora, has become the social focus and technical hotspot of much attention. Various literary texts, literary maps, graphic videos, literary videos and even multimodal large models have sprung up one after another. After more than a year of technology and performance iterations, AI has gradually entered the vertical industry development and application practice stage, and presents a diversified ecological landscape enabling all walks of life.

　　 What will the development of the big model bring to the exhibition industry? How to promote the application and implementation of AI in exhibition scenes? These are the issues we have been focusing on, and we have also carried out some exploration and practice in recent years. The following is a brief introduction to the main application directions of AI in the exhibition industry: 　　

　　 Improve booth design and create immersive exhibition experience

　　 The application of AI painting generation tools such as Midjoury and Stable Diffusion in exhibition booth design has greatly improved the efficiency and innovation of booth design. Using historical data, AI can analyze which exhibition elements are most popular, so as to optimize layout, color, interactivity and other design elements.

　　 Taking our partner Bike as an example, the 13600 square meter exhibition hall that Bike built for a city originally required 30 days of design time. After using AI, the design could be completed in 7 days, quadrupling the speed and saving 75% of the time.

　　 AI combines AR (augmented reality) and VR (virtual reality) technologies to create an immersive display experience.

　　 For example, the audience can enter the simulation environment through VR devices to experience the product use scene, or see the 3D model and dynamic effect of the product in the real environment through AR technology. This technology not only deepens the audience's impression, but also improves the brand's innovative image.

　　 With the continuous maturity of AR/VR technology, the future exhibition will realize the seamless integration of virtual and real, and the audience can interact in a richer scene.

　　 Improve publicity efficiency and effect

　　 AI can be a great help for the production of exhibition content and improve the efficiency and effect of exhibition publicity. The first is intelligent writing, which can quickly generate a promotional text. Through instruction training and preset templates, AI can help to extract and analyze the theme, exhibitor information, exhibit features and other information of the exhibition, and quickly generate a complete promotional text. Compared with traditional manual writing, AI writing has higher efficiency and lower cost. At the same time, AI can also make personalized adjustments to the manuscripts according to the preferences and reading habits of the target audience to improve the pertinence and attractiveness of the publicity.

　　 With the help of AI's deep learning and data analysis capabilities, we can also find multiple perspectives and new reporting perspectives from complex information.

　　 In addition to generating new documents, AI can also rewrite and polish existing documents. By adjusting sentence structure and optimizing vocabulary selection, AI can make the manuscript more fluent and readable, and improve the quality of the manuscript.

　　 The second is intelligent generation of short videos. AI technology can edit and synthesize according to the text, pictures and video materials to generate high-quality short videos. These short videos can be used for warm-up publicity, live broadcast and other links of the exhibition. Through AI's intelligent editing, the content of short videos can be ensured to be compact and fast, while highlighting the highlights and features of the exhibition.

　　 AI can also add various special effects and animation effects for short videos, such as subtitles, filters, transitions, etc., to make videos more vivid and interesting. These special effects and animations can not only enhance the audience's viewing experience, but also enhance the visual effect and impact of publicity.

　　 Realize more precise marketing strategy

　　 The application of AI technology has provided a new basis for exhibition promotion and marketing, which has changed the exhibition advertising and presentation methods. This includes using big data analysis to optimize advertising content and form, and using intelligent algorithms to predict the preferences of target audiences, so as to achieve more accurate marketing strategies.

　　 1、 Data acquisition and analysis

　　 Multi channel data collection: collect user data from multiple channels such as exhibition APP, social media, search engine, exhibition official website, registration information and behavior data of exhibitors and visitors.

　　 AI data analysis: use AI data analysis technology to deeply mine the collected data, analyze the behavior mode, interest preference, purchase intention and other key information of exhibitors and visitors, and provide basis for subsequent precision marketing.

　　 2、 Personalized marketing and precise push

　　 User profile construction: based on the results of data analysis, build user profiles of exhibitors and visitors, including industry background, geographical distribution, interest preferences, etc., and subdivide exhibitors and visitors into different target groups to implement more accurate marketing strategies.

　　 Personalized recommendation: According to user profiles, AI algorithm is used to provide personalized exhibition information, exhibits recommendation and related activity introduction for different target groups, so as to improve the effectiveness of information push and improve the conversion rate of users.

　　 3、 AI outbound call

　　 Efficient invitation: Using AI outbound robot, we can reach a large number of target audiences in a short time and conduct efficient exhibition invitation.

　　 High quality communication: in the process of communication with customers, the robot will recognize the real-time voice stream, mine customers' intentions, and communicate with customers in the form of live voice recording or TTS broadcasting according to the preset script template. Through the identification and screening of call content, we can effectively and accurately lock the intended customers, so as to improve efficiency and reduce costs.

　　 Insight into user intention to guide registration

　　 The AI intelligent customer service system takes the AI big model as the base, establishes the exhibition's own knowledge base by uploading documents, knowledge questions and answers, linking websites, etc. Based on the knowledge base and assisted by the AI big model, it answers users' questions, and through customized dialogue processes, insight into users' intentions, and guide users to participate in the exhibition or pre register visitors.

　　 Full time service: With AI intelligent customer service system, we can realize 7 × 24 hours online service, answer users' questions and concerns at any time, and provide more convenient and efficient service experience for exhibitors, visitors and exhibition organizers.

　　 Multi platform services: AI intelligent customer service system can cover websites, mobile applications, social media and other platforms, provide a consistent and continuous service experience across platforms, and improve the convenience and satisfaction of users.

　　 Virtual customer service: through AI virtual digital human technology, combined with face recognition, voice recognition and other technologies, intelligent conversation and interaction with users are realized. It can also provide personalized services according to the needs and interests of users, such as welcome, explanation, consultation, exhibits shopping guide, etc.

　　 Improve the accuracy and effectiveness of business matching

　　 AI plays an important role in accurately matching exhibitors and visitors in the trade matching service of exhibitions.

　　 Data collection and analysis: through AI technology, in-depth analysis of the data obtained from exhibition APP, official websites, social media, exhibitors registration system and other channels, such as exhibitors' product information, visitors' interest preferences, invitation records, etc., identify potential matching relationships between users, and provide data support for subsequent accurate matching.

　　 Business matchmaking: through intelligent matching algorithm, the system makes intelligent matching according to the needs of the audience and the product characteristics of the exhibitors. The matching process will consider multiple dimensions, such as industry field, product category, price range, geographical distribution, etc., to ensure the accuracy and effectiveness of trade matching.

　　 Real time recommendation and push: AI system can analyze the audience's behavior data in real time (such as browsing booth, participating in interaction, etc.), and recommend relevant exhibitors and exhibits to the audience according to the analysis results. At the same time, AI can also push the purchase intention of visitors to eligible exhibitors. Visitors and exhibitors can also make reservations and communicate through the tools provided by the exhibition platform, so that both parties can further understand each other's needs and intentions and lay the foundation for subsequent business cooperation.

　　 Ensure the safety of the exhibition site

　　 one 、 User login and authentication

　　 Use face recognition technology to capture the user's facial features through the access gate at the exhibition site, compare with the pre registered information, and quickly complete the identity verification. This method not only improves the entrance efficiency, but also avoids the imposter and other problems that may occur in traditional login methods.

　　 two 、 Safety monitoring and management

　　 Blacklist warning: use face recognition technology to compare user data with blacklist database in real time, so that exhibition organizers can timely find and prevent potential unsafe personnel from entering the exhibition site, and improve the security of the exhibition.

　　 Traffic density monitoring: combining face recognition technology and big data analysis, the traffic density of each exhibition area is monitored in real time, and the admission strategy is adjusted in time to avoid congestion and security risks.

　　 3、 Data analysis and marketing support

　　 Participants' behavior analysis: collect participants' behavior data through face recognition technology, such as visit routes, stay time, etc. The sponsor can analyze participants' interests and preferences based on this, and provide data support for subsequent marketing push.

　　 Precision marketing push: based on the behavior data of participants, the sponsor can achieve precision marketing push through face recognition technology, such as sending negotiation and activity reminders to participants who make an appointment for business negotiations or on-site activities.

　　 Due to the increasing attention of the state to privacy protection, relevant laws, regulations and privacy policies are constantly introduced, and the application of face recognition technology is limited.

　　 The future exhibition will be an ecosystem of multi participation, and the application of AI in it will bring revolutionary changes to the exhibition industry. Whether it is exhibition design, content generation, exhibition services or data analysis, AI is constantly improving the efficiency and experience of the exhibition, and gradually becoming the "new quality productivity" that affects the development of the exhibition industry. Although we are still facing many challenges and constraints such as technology cost, data privacy protection, industry acceptance and so on, we will still actively explore, boldly practice and strive to get through the "last mile" of AI technology in exhibition application scenarios.