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1、WHEN AI MEETS FASHION:Contact us for more information via 1 Exploring the Transformative Impact of AI on the Fashion IndustryCONTENTS OVERVIEW APPLICATIONS IN FASHION POTENTIAL RISKSPRODUCT DESIGN MARKETINGSUPPLY CHAINSALES&CONSUMER EXPERIENCE CONCLUSION2 AIGC IN CHINAOVERVIEWThe fashion industry is
2、 constantly evolving,adapting to changing consumer demands and technological advances.One of the most promising developments in recent years has been the use of Generative AI,a type of artificial intelligence that enables machines to generate creative outputs based on data input.This technology has
3、the potential to transform various aspects of the fashion industry,from design and marketing to supply chain and sales.According to McKinseys analysis,in the next three to five years,generative AI could add$150 billion,conservatively,and up to$275 billion to the apparel,fashion,and luxury sectors op
4、erating profits1.One of the most prominent examples of Generative AI is GPT4.0,a language model developed by OpenAI that can generate natural language text and assist with a range of tasks,from product descriptions to personalized recommendations.By analyzing vast amounts of data,GPT4.0 can identify
5、 patterns and trends in consumer behavior and preferences,and generate content tailored to individual needs and interests.In this report,we will cover the following key points:1.Impact and Application of GPT4.0 and Generative AI Tools in Fashion:We will explore how GPT4.0 and other Generative AI too
6、ls are influencing various areas of the fashion industry,including product design,marketing,supply chain management,and sales.2.Challenges and Ethical Issues:We will consider the potential challenges and ethical concerns associated with the use of Generative AI in fashion,such as data privacy,intell
7、ectual property rights,and biases that may arise.3.Overview of Chinese Giants and Startups in AIGC:We will provide an overview and summary of the current situation of prominent Chinese giants and startups in the field of Artificial Intelligence Generated Content(AIGC).Through our analysis,readers wi
8、ll gain a better understanding of how AI,especially Generative AI is revolutionizing the fashion industry,and what the future may hold for this exciting and rapidly-evolving field.OVERVIEW 4Intelligence TeamFarfetch ChinaJul,2023Copyright 2023 CuriosityChina.All rights reserved1 Data from Mckinsey&C
9、ompany.APPLICATIONS IN FASHION Product DesignResearch&Concept Development The initial stage of the design process involves thorough research and gathering inspiration which may encompass observing trends,analyzing consumer preferences,studying materials and fabrics,and drawing inspiration from fello
10、w designers or various art forms.By leveraging the support of AIGC tools,designers can significantly enhance their efficiency and gain access to extensive datasets and a wealth of inspiration.Application:Heuritech2was created in 2013 by two PhDs in Machine Learning.Louis Vuitton recognized its techn
11、ological potential in 2016,leading to its implementation in the fashion industry.Powered by AI,it can analyze millions of photos and videos on social platforms daily,extracting more than 3,000 features including color,texture,and pattern as well as post date and location information and forecasting
12、what is coming next up.Now,Heuritechs service has been applied by luxury brands like PRADA,Dior,and Louis Vuitton.Sketching and Prototyping Once the concepts have been developed,designers proceed to create intricate sketches of the product.Traditionally,this process could take weeks or even months a
13、nd involve numerous iterations to achieve a satisfactory outcome.However,by incorporating AIGC tools,the design cycle can be significantly reduced,resulting in enhanced efficiency and productivity.Application:By leveraging CALAs sample database or uploading their own reference materials,designers ca
14、n utilize concept prompts to bring their designs to life.CALAs co-founder and CEP,Andrew Wyatt,revealed that several celebrities and KOLs have already adopted CALA as their design tool3.Personalized DesignAI breaks free from traditional design methods,enabling personalized and differentiated product
15、 experiences while reducing operational costs.Application:In April 2023,Threekit 4 launched ThreekitGPT Beta,a tool that enables users to configure products through a seamless chat interface.KASHIYAMA partnered with Threekit to let users customize their suits.6Powerful AI still needs a human lead AI
16、GC serves as a valuable support system for designers during their research and inspiration phase,functioning as a tool to enhance efficiency and complement human creativity instead of replacing it.Designers should maintain their individual perspectives,experiences,and artistic vision,utilizing AIGC
17、to create impactful and pioneering fashion designs that truly resonate with their unique style.2 Heuritech.3 fashionexpress.4 Threekit.Practicality of Design Denim brand G-Star Raw revealed images of a 12-piece collection created by their designers working with the Midjourney AI app in March.The des
18、ign was aesthetically intriguing,but not able to be scalable.Tailors of G-star Raw commented“quite challenging because of so many illogical details5.It took a lot of time to discover how the layers were connected and where details began and ended.But that was also fun because its something you would
19、 never design as a human.”G-star CMO also said,“We should see AI as enhancing the creative process,rather than taking it over.”7Various AI tools have emerged in the fashion industry,including Cala,Designovel,Zmo.ai,Vue.ai,and Heuritech,showcasing promising prospects for AIs application.With the abil
20、ity to enhance the creative process,AI holds great potential in transforming the fashion industry.However,there are noteworthy challenges that require attention,including assessing the practicality of designs generated by AIGC and addressing copyright and homogenization concerns associated with its
21、usage.Copyright&Homogenization IssueAI analysis and prediction enable brands to create works aligned with trends and consumer preferences,yet design homogenization can be a concern.Human intervention is necessary to continually train AI tools in order to produce works that reflect a brands identity.
22、Additionally,as AI tools are trained using existing data,potential copyright disputes may arise during the design process.Therefore,human intervention remains crucial in the design process.5 Fashionexpress.7Challenges behind Product Design86 BlueFocus.7 Adore Me.MarketingDevelop vertical industry to
23、ols and train your workforceWhile these technologies enhance marketing efficiency and accuracy,human supervision and guidance are still essential to fulfill the expectations of discerning fashion consumers regarding brand uniqueness and creativity.Presently,in the fashion and luxury industry,brands
24、and marketplaces are actively exploring this new technology,with AIs involvement in campaigns often serving as attention-grabbing gimmicks.However,in the future,more specialized vertical industry tools will be required for precise implementation.Content Creation(1/2)Collaborating with AI agents can
25、expedite content development and alleviate creative blocks for in-house marketing teams.Raise efficiency Using generative AI models,brands can automatically generate various marketing materials such as slogans,images,and videos.These automatically generated materials can help brands quickly create a
26、ttention-grabbing content and improve efficiency to some extent.BlueFocus6 announced in April of this year an indefinite and comprehensive cessation of outsourcing expenditures such as creative design,proposal writing,and copywriting to lay the foundation for fully embracing the AIGC era.BlueFocus h
27、as laid out an All-in-AI strategy and deeply collaborated with Canon to launch 2D animated video ads that have shortened production time from one month to just a few working days.Enhance creativity Collaborating with AIGC tools boosts content development and mitigates creative blocks for in-house ma
28、rketing teams.Despite its benefits,feedback from copywriters and creatives suggests that AIGC tools may struggle to comprehend the brands tone and produce consistent text within the fashion industry,particularly in the luxury sector.AI-generated content is often overly generic and lacks depth,necess
29、itating human intervention for precise slogan creation and effective article writing.Personalization AIGC excels in consumer understanding by conducting sentiment analysis and capturing needs,interests,and pain points to generate accurate user personas.Leveraging these personas,AIGC aids in creating
30、 impactful marketing materials that resonate with the target audience,aligning with customer preferences and enhancing their overall experience.Adore Me7,a lingerie brand that was acquired by Victorias Secret has been utilizing a generative AI tool for the past year to assist with creating SEO-optim
31、ized product descriptions.This innovative approach has resulted in a notable 40%increase in website traffic.9Content Creation(2/2)Eye-catching Chinese brands and marketplaces are actively embracing the revolutionary potential of AIGC in brand marketing.However,currently,AIGC is primarily employed as
32、 an attention-grabbing tactic within brand marketing strategies.Tmall,a popular Chinese e-commerce platform,incorporated AIGC technology on 2023 618 promotion day and launched the“Tmall Play AI campaign“.The campaign successfully utilized AIGC as an innovative focal point to capture the attention of
33、 netizens.MaxMara,Longines,Gucci Beauty,and other 17 brands all participated in the campaign8.AIGC+Virtual Digital Personas Live streaming has emerged as a popular marketing method for brands,but its time sensitivity and real-time fan interaction pose significant challenges.AIGC addresses this by em
34、powering digital personalities to serve as digital employees,representing the brand in marketing and promotional activities,thereby amplifying brand influence.During this years 618 shopping festival,AI virtual personas were also busy.FaceUnitys digital personas10 achieved a maximum of 20 hours a day
35、 on live streaming,filling the gap when human anchors are unavailable.JD.com stated that its virtual anchor,Yanxi,significantly boosted business sales,with an increase of over 223%compared to last years Double 11 event11.Currently,virtual anchors do not hold any of the top 100 positions on Taobaos l
36、ive streaming rankings.Concerns have been raised by merchants who find virtual live streaming to be artificial and lacking emotional connection and personalization,thus making it difficult to attract users for making purchases.There is a need for further improvement in this aspect.Content Distributi
37、on Precise Touchpoints AIGC enables brands to achieve precise touchpoints by deeply analyzing information such as brand,product,and consumer behavior of advertisers.This analysis allows for quick identification,localization,and optimization of advertising resources,ultimately improving the precision
38、 and coverage of advertising delivery.For example,Tencent has incorporated its own AIGC model,Hunyuan9,into its advertising business for more precise ad matching and better conversion effect,yielding a cumulative 15%increase in GMV for advertisers.8 Socialbeta9 Hunyuan10 FaceUnity.11 Data from Jinro
39、ngjie.12 Sohu news.Campaign Evaluation Leveraging its robust data and computing capabilities,AIGC can be utilized for campaign evaluation.This involves data analysis,predictive modeling,automated metric measurement,real-time optimization,and reputation management.By employing AIGC in these areas,bra
40、nds can assess and optimize marketing campaigns,enhance ROI,and bolster brand reputation.In China,the Mediatom platform has independently developed an Intelligent Dynamic Pricing Algorithm that helps developers to flexibly formulate pricing strategies in rapidly changing market environments and adju
41、st prices in real-time to meet market demand and competition,ultimately improving advertising effectiveness and reducing costs12.MarketingHuman input is essential,and training your workforce helps for better efficiencyThe Casablanca SS2023 ad was created by Luke Nugent using the AI image generator M
42、idjourney.However,the actual process of creating the ad is not as simple as one might imagine.First,the photographer collaborated with 10 professionals,including a set designer,lighting technician,and stylist,to provide ideas.Later,there were constant feedback and modifications needed in the post-pr
43、oduction stage,and the final editing time was longer than that of normal shooting13.Brand advertisements aim to express brand value,concept,and culture,areas in which AI lacks significant understanding.Human input is essential to understand emotional and intellectual needs and create resonating cont
44、ent.Thus,manual post-production adjustments are necessary,and training employees in AIGC technology is crucial for maximizing efficiency.10AIGC requires data trainingIn advertising scenarios where effectiveness is paramount,AIGC often necessitates extensive data sets for model training.However,this
45、can pose challenges for many companies in terms of technology capabilities and resource costs.For inquiries potential cooperation and more,please contact us: 13 Nowre.10The amount of training data poses challenges on company resources.Although AIGC enhances efficiency overall,manual post-production
46、adjustment is still necessary.MarketingChallenges behind 11Supply ChainReshape the supply chain for maximum efficiency and profitabilityGenerative AI offers powerful optimization capabilities at every stage of the fashion supply chain,from demand forecasting and inventory management to timely delive
47、ry.The effective implementation of AI has the potential to drive the industry towards sustainability by reducing waste in the supply chain process and beyond.By embracing this technology,fashion brands can remain competitive and succeed in an industry that is constantly evolving.Demand Forecasting F
48、irst and foremost,businesses rely on demand forecasting to make better-informed supply decisions that estimate the total sales and revenue for future launches.Accurate demand forecasting by analyzing historical data,customer behavior,and sales trends,enables retailers to adjust their inventory level
49、s and order in advance.The integration of AI tools can help retailers mitigate the risk of excess inventory while improving sales.Application:H&M14 adopts AI-powered algorithms to analyze fashion trends by capturing information from predicted search engines and blogs.The collected data helps inform
50、the companys buying decisions,including how much to buy,when to buy,and where to place items in stores.In addition to forecasting new trends,AI technology also determines whether to restock popular merchandise.Inventory Management After settling down with the production schedule,here comes the role
51、of inventory management where stocks need to be monitored and distributed carefully.AI can help with real-time inventory tracking,transport materials,and automated warehouse processes to elevate overall operation efficiency,thus reducing the cycle time and dropout rate.Application:Gap15 deploys piec
52、e-picking robots with AutoGrasp(a robotics intelligence platform)at distribution centers to handle online orders more efficiently,improve operational efficiency,reduce errors,and enhance picking accuracy over time.Product Delivery Accelerating the delivery process is the end process of the supply ch
53、ain to ensure the right product is delivered to the customer at the right time.Here,AI can optimize and automate delivery service by analyzing transportation data to optimize delivery routes,thereby reducing transportation costs and improving delivery time.Application:4 Paradigm16,an AI technology p
54、rovider,launched a Generative AI software named SageGPT that provides optimal solutions for package loading to maximize space utilization for one delivery.By inputting package size and container details,this software returns optimal loading plans with detailed visual demonstrations.The implementatio
55、n of SageGPT could not only increase delivery efficiency but also provide valuable insights for fashion retailers to improve the shopping experience.14 H&M,Zara,Fast Fashion Turn to Artificial Intelligence to Transform the Supply Chain15 4 Paradigm16 Gap accelerates rollout of warehouse robots to ke
56、ep up with online demandSales&Customer Service12Promising future of AIGC in sales&customer serviceMore business entities should be encouraged to apply chatbots in their selling activities as AIGC and chatbots can improve the sales efficiency and customer shopping experience of e-commerce.Sales Recom
57、mendation By utilizing chatbots,businesses can provide customers with more personalized recommendations,increasing conversion rates while lowering operational costs.Chatbots analyze users browsing history and purchase preferences to offer personalized product and discount recommendations,shortening
58、the transaction chain17.By providing tailored shopping experiences,the likelihood of repeat purchases from satisfied customers increases.18 The responses provided by chatbots generated from algorithms are complicated enough to satisfy customer needs,which increases the chances of conversions.Additio
59、nally,the personalized recommendations provided by AIGC can assist customers in better understanding products,reducing return rates and thus lowering shipping and product exchange costs19.Application:Styleriser developed a digital shopping assistant,StyleIQ,using facial analysis(AI)to generate highl
60、y relevant product suggestions for apparel e-commerce.Its technology provides color suggestions from selfies uploaded by the user.Recommendations and suggestions the application makes are based on users activities and purchase histories.With the suggestion from Styleriser,customers who are confident
61、 about their colors return would return lesser items than unaware shoppers.24Customer Service Chatbots can improve customer shopping experience.According to Salesforce data,23%of customer service companies are currently using AI chatbots.20 After integrating with ChatGPT,businesses can receive 24/7
62、customer service support and handle simple queries such as order status,shipping status,product information,etc.Chatbots ensure customer service staff are using their time efficiently-only issues that cannot be handled by chatbots will be transferred to humans.However,chatbots can handle at least 70
63、%of issues.21 Using chatbots can help businesses reduce their customer service costs by up to 30%,according to IBM.22 Additionally,68%of users enjoy the convenience of using chatbots,particularly how quickly they receive a response,according to Userlike.23 Application:In February 2023,Shopify announ
64、ced that it will provide ChatGPT support for businesses.25 By integrating ChatGPT into their own stores through accessing the ChatGPT API or using third-party chatbots,businesses can replace human customer service to answer consumer questions and provide personalized recommendations.To make the shop
65、ping experience more conversational,ChatGPT only conducts 1-2 rounds of Q&A with customers before proposing solutions based on their past behavior.However,ChatGPTs services are currently only suitable for English-speaking users.17 Boost Your eCommerce with AI Chat Bot:A Comprehensive Guide18,19 Chat
66、GPT for Sales:Leveraging NLP to Optimize Sales Analytics Results20,21,22,23 29 Top Chatbot Statistics For 2023:Usage,Demographics,Trends24 StyleRiser25 OpenAI rolls out ChatGPT for business customersIntegrating chatbots with existing CRM systems and ensuring data quality can present challenges when
67、leveraging chatbots to improve sales and customer service efficiency.Furthermore,its important to acknowledge that chatbots may not achieve 100%accuracy.Chatbots Are Not 100%AccurateThe responses are not always accurate and chatbots need supervision by humans.13Data QualityAIGCs performance heavily
68、relies on the quality and quantity of the data it processes.For businesses,whether their commercial volume is large enough to support training chatbots to generate more accurate answers depends on having sufficient data.If the dataset is not large enough to train chatbots properly,the effectiveness
69、of chatbots may be lower than expected.System AdaptationChatbots may not be compatible with CRM and other systems currently used in e-commerce,which can be complex and time-consuming to integrate.13Sales&Customer ServiceChallenges behind POTENTIAL RISKSPotential RisksData Security IssueCopyright Iss
70、ueTraining AI models necessitates extensive data sets,and when utilizing such models to create content,there is a potential risk of copyright infringement if the data set contains copyrighted material.A recent lawsuit filed by a group of artists against Stability AI and Midjourney highlights this co
71、ncern.The outcome of the lawsuit is still pending.To mitigate these risks,companies should prioritize proper attribution and licensing for any copyrighted materials they employ.15Local Policy RestrictionItalian regulators have banned the use of ChatGPT in their country,citing concerns over user priv
72、acy,age restrictions,and the potential spread of misinformation through the chatbot.This makes Italy the first country in the Western world to ban ChatGPT.Meanwhile,in China,the Cyberspace Administration of China(CAC)released a draft regulation outlining management guidelines for generative artifici
73、al intelligence services,marking the first regulatory document specific to AIGC in the country.The proposed standards emphasize the importance of truthful and accurate content generated by AIGC.This development reflects the governments supportive stance on AIGC application advancements.To mitigate l
74、egal risks and avoid penalties,companies should familiarize themselves with relevant laws and regulations pertaining to AIGC tools before implementation.The Economist Korea reported that Samsungs semiconductor division experienced instances of engineers leaking confidential information to ChatGPT af
75、ter its implementation.Data security is a critical concern,especially in AI applications like ChatGPT that involve natural language processing.The functioning of ChatGPT relies on collecting and training extensive text data to respond to user queries,making the exposure of personal information and d
76、ata possible through unintentional user behavior.To address this,companies should prioritize employee training on data security to enhance information security awareness.On the developer side,privacy computing emerges as a potential solution by utilizing techniques like encryption,secure multi-party
77、 computation,and homomorphic encryption.These methods uphold data security by ensuring privacy preservation during data processing,enabling effective analysis and utilization while safeguarding sensitive information.As the fashion industry gradually embraces AIGC tools,there are potential risks that
78、 should be considered.AIGC IN CHINAWith ChatGPT driving changes in the global AI industry,Chinese tech giants have recognized the limitless potential of the artificial intelligence(AI)market and have subsequently joined the competition pool to launch home-grown Chat-GPT-like interfaces.These compani
79、es aim to provide more sophisticated performance in the Chinese language and a cost-efficient model with low thresholds.IDC estimates that the China AI market will achieve a market size of$26.44 billion in 2026,with a five-year compound growth rate(CAGR)of over 20%from 2021-2026.26 Companies known f
80、or their search engine,such as Baidu and 360,have launched their AIGC chatbot,aiming to redefine the way of searching.Meanwhile,tech giants like Alibaba,Tencent,Bytedance,SenseTime,and JD have also combined their AI models with AIGC products,mainly in the form of chatbots,following the boom.Others l
81、ike the ICT company Huawei have claimed that their AI model Pangu,without specific products,has been proven to work under 100 industry scenarios.Tech Giants tend to prioritize horizontal model integration,mainly investing in LLM and upstream technologies for the application in smart homes and automo
82、biles Notably,most Chinese companies have focused on the horizontal regulation of AI models like ChatGPT,with few on vertical model integration.However,it is crucial for these companies to recognize the importance of vertical practices and industry-specific data to enhance their broad-ranging AI off
83、erings.While leveraging their own core competencies,large tech giants also invest in the AI market across various types of AI companies combined with their business characteristics.With a deep dive into BAT(Baidu,Alibaba,Tencent)companies,these three tech giants conducted more than150+AI-related inv
84、estments27 by 2022,mainly focusing on Large Language Models(LLM)and upstream technologies in smart homes and automobile areas.For example,Baidu invested in Nebula Matrix,a developer of DPU chips intended for cloud computing;Alibaba funded Fair Innovation,a producer of collaborative robots;Tencent in
85、vested in general AI startup,MiniMax and operation provider of autonomous driving,Mogo.ai.The utilization of AI models primarily focuses on internal operations within major corporations,with limited external commercialization.Due to the early stage of their AI models,companies like Baidu,Alibaba,Ten
86、cent,and JD have prioritized integrating AI products for internal use to increase work efficiency with better business communication,faster production,and lower costs.For example,Tencent first applied their AI model Pangu to internal business for cost-efficiency purposes,including WeChat Search in e
87、nhancing user experience and Media Buy in improving ad matching.Many companies primarily develop products for internal purposes,leaving significant opportunities for external commercialization.Baidu stands out as the sole provider of paid API services,enabling enterprises to incorporate ERNIE bot in
88、to their operations.Meanwhile,companies such as Huawei and SenseTime concentrate on tailoring vertical model integrations to meet the specific requirements of government and enterprise clients.Start-ups focus on pursuing vertical model integration,remain with a blue ocean of opportunity The influx o
89、f horizontal model integration highlights the gap in vertical models,particularly in the fashion industry.This creates an opportunity for small companies and start-ups in the vertical sector to develop their own AI models to tailor user needs.In China,companies like Tiamat and POP Fuzhuangqushi have
90、 already introduced their vertical AI models,specifically text-to-graph generators for fashion design.Additionally,Style3D,a 3D digital service platform,offers a range of AI-powered applications in the fashion industry,from material capturing and 3D design to virtual showrooms.Recently,Style3D partn
91、ered with Tmall to launch a 3D fitting room campaign on 618 Day,providing users with immersive online shopping experiences.28The AIGC industry in China holds promising potential,with the application of AIGC products poised to make a profound impact on the fashion industry.During the fashion design s
92、tage,the integration of graph generator bots like Baidus Wenxinyige can provide valuable insights through customized graphs.Alibabas Tongyi Qianwen can enhance business communication and work efficiency.Additionally,360s Intelligent Brain can introduce AI Digital Humans into the marketing process,ex
93、panding marketing campaign options while reducing capital costs.Looking ahead,it is hoped that Chinas AIGC products will transcend the ChatGPT alternative label and establish their own reputation based on their merits.17Copyright 2023 CuriosityChina.All rights reserved26 Data from IDC.27 Data from 3
94、6kr.28 Source from Weibo.AIGC in China18 650.DingTalk and Small GenieWeChat Search360 full-end productsRetail and financeShanghai Changning library100 industry scenariosPudong development bankEight Tech Giants in China and Their AI ModelsAI Model NameAI Model IntergrationAI Products&Key FeaturesComm
95、ercializationBusiness ApplicationsBaiduERNIEHorizontal1.ERNIE Bot-chatbot 2.Wenxin Yige-text to graph 3.Wenxin Baizhong-chatbot focused on searchInternal use To B To CInternal:integrated into Baidus search service External:provide API to applied enterprise clients 650 companies had signed up to use
96、Ernie BotAlibabaTongyiHorizontalTongyi Qianwen-chatbotInternal use To B(test)Internal:integrated into all business applications across Alibabas ecosystem,such as DingTalk and Tmall Genie focused on tasks related to business communicationTencentHunyuanHorizontalTBAInternal useInternal:applied to Tenc
97、ents business including WeChat Search,Media Buy etc.focused on tasks by business application to enhance user experience and increase accuracy360Intelligent BrainHorizontalIntelligent Brain 360-chatbot&Text to Video&AI Digital HumanInternal use To B(test)Internal:connected to 360 full-end products su
98、ch as browser,search,and security guardsJDYanxiVerticalChatJD-chatbotInternal useInternal:intended to aid in automated customer consultation and service,smart marketing content generation,financial research reports etc.focused on the industrial fields of retail and financeSense-TimeSenseNovaHorizont
99、al1.SenseChat-chatbot2.SenseMirage-text to graph3.SenseAvatar-AI Digital Human4.SenseSpace-3D content generation 5.SenseThings-3D content generation To BExternal:offer customized AI services to government and enterprise customersShanghai Changning Library has incorporated its digital human technolog
100、y to create a digital guide called“Xinye”to recommend books in the library base on preferences and assist readers in completing book borrowing and seat reservation operations.HuaweiPanguHorizontalTBAInternal use To BInternal:Pangu-based vertical models have been applied in areas like meteorology,wea
101、ther and coal mining,etc.Focused on the industrial end of the application validated in more than 100 industry scenarios External:offer customized services to government and enterprise customers Pangu Model has helped Pudong Development Bank to build a“bank of things”-Puhui Cloud Warehouse,greatly im
102、proving the development efficiency from 1 to 2 months to 2-3 days.Bytedance(self-generated)HorizontalTBABytedance,the parent company of Tiktok,just launched their Model-as-a-Service(MaaS)platform named“Huoshan Fangzhou”for API tests,gathering AI models from tech startups including MiniMax and Mobvoi
103、 Inc.,aiming to help enterprise clients select the right AI model and train for optimization across various business scenarios.CONCLUSION FROM CURIOSITYCHINAAIGC-SHAPE THE FUTUREThe rise of generative AI has the potential to fundamentally alter the business landscape.Brands should seize the opportun
104、ity to make business wiser.Leveraging vast amounts of data and analyzing consumer behavior patterns,AIGC contributes to product development and optimization,enhances campaign effectiveness,and delivers personalized consumer experiences.Furthermore,AIGC optimizes supply chain processes by streamlinin
105、g inventory management,reducing lead times,and minimizing waste,fostering sustainability and resource efficiency.In summary,generative AI has the potential to revolutionize the fashion industry by boosting productivity,personalization,and sustainability.However,it is important to combine it with hum
106、an expertise and oversight to ensure the generation of high-quality,innovative,and ethical content that resonates with customers and creates positive social impact.20CONTACT US If you ever need commercial consulting expertise that supports brands in better comprehending AIGC and cutting-edge technol
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