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市场调查报告书
商品编码
1389130
ChatGPT 在汽车价值链中的使用案例ChatGPT Use Cases in the Automotive Value Chain |
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未来十年，ChatGPT 将显着影响零售和车内体验方式，改变汽车价值链
ChatGPT 已成为一种多功能工具，在跨行业的各种业务功能中具有潜在使用案例。汽车价值链中有许多潜在的使用案例。本报告着眼于 ChatGPT 可用于汽车价值链关键要素的各种场景，包括供应链、製造、零售和汽车体验。
ChatGPT 在庞大的资料上进行训练，使其成为一个知识丰富的应用程式。您还可以学习新事物并更新您的知识库。这使得 ChatGPT 能够回答广泛主题的问题。这种能力与特定领域的资讯相结合，使 ChatGPT 能够快速执行深入的分析，以获得有意义的见解。
这种大规模语言模型配备了与生产相关的知识，可以分析持续的生产资料以识别异常情况，并帮助识别生产过程中的瓶颈和其他问题。可以分析历史资料和当前趋势来预测特定零件的需求。它还可以透过分析市场趋势和客户回馈并提案更多以用户为中心的设计来帮助设计团队。由 ChatGPT 提供支援的聊天机器人可以 24/7 全天候为客户服务，回答联络方式并指导他们完成车辆选择和购买流程。在车内，ChatGPT 可以开创人工智慧伴同性的时代，可以用自然语言与服务人员和乘客交流。
调查范围
本研究的范围包括以下讨论：
- ChatGPT 在汽车价值链中的使用案例
- 分析不断发展的使用案例及其对未来汽车价值链的影响
- 汽车价值炼及其细分市场以及这些细分市场的潜在应用
- ChatGPT 整合到现有汽车产品和解决方案中的潜力
- 使用案例强调了与 ChatGPT 在职场相关的挑战以及围绕该技术的担忧
- 成长机会和分析要点
目录
战略问题
- 为什么成长如此困难？
- The Strategic Imperative 8（TM）
- 主要策略要务对汽车价值链中 ChatGPT 的影响
- 成长机会推动Growth Pipeline Engine（TM）
成长机会分析
- 分析范围
- 生长促进因子
- 成长抑制因素
成长环境
- ChatGPT 应用：重点
- 汽车OEM先行者的 ChatGPT 简介
- ChatGPT：不断发展的行动使用案例
- ChatGPT：对各汽车应用领域的影响
- 挑战：禁止 ChatGPT 的国家
- 挑战：公司对职场使用 ChatGPT 的反应
ChatGPT 在汽车价值链中的使用案例：供应链和製造
- 汽车应用：概述
- 汽车供应链管理概述
- 汽车供应链工作场景
- 汽车供应链潜在雇主
- 汽车製造概览
- 汽车製造设计
- 汽车製造生产
- 汽车製造品管
- 汽车製造使用案例：梅赛德斯奔驰
- 在供应链和製造中的应用：要点
汽车价值链中的 ChatGPT使用案例：零售与汽车体验
- 汽车零售：概述
- 汽车零售：行销
- 汽车零售：销售
- 汽车零售：销售 -使用案例1，完整路径
- 汽车零售：销售 -使用案例2、 元宇宙和 ChatGPT
- 汽车零售：售后市场
- ChatGPT：汽车体验：概述
- 汽车体验：潜在使用案例
- 汽车体验：宾士
- 汽车体验：Stellantis：DS Automobiles
- 零售业的应用与汽车体验：要点
汽车中的 ChatGPT：未来的可能性
- ChatGPT 对汽车价值链的影响
- 包含未来法学硕士的汽车科技产品与平台
- ChatGPT 在汽车的案例（连网型、自主、共享、电动）
- 展望 ChatGPT 的未来
成长机会宇宙
- 成长机会一：下一代汽车体验的到来
- 成长机会2：客户参与创新
- 成长机会三：支持智慧製造
- 图表列表
- 免责声明
ChatGPT will Transform the Automotive Value Chain with Significant Impact in Retail Sales and In-vehicle Experience Avenues in the Next Decade
ChatGPT has established itself as a versatile tool with potential use cases in various business functions across industries. Potential use cases across the automotive value chain are numerous. This report looks at various scenarios in which ChatGPT can be used for the key elements of the automotive value chain including supply chain, manufacturing, retail, and in-vehicle experience.
ChatGPT is trained on a massive data set, which makes it an application with wide knowledge. It can also learn new things and update its knowledge repository. This gives ChatGPT the ability to answer questions pertaining to a wide range of subjects. This capability, combined with domain-specific information, will enable ChatGPT to quickly undertake incisive analysis to derive meaningful insights.
Fed with production-related knowledge, this large language model can analyze the ongoing production data to identify anomalies and help identify bottlenecks and other issues in the production process. It can analyze historical data and current trends to forecast demand for specific components. It can also help the design team by analyzing market trends and customer feedback to suggest more user-centric designs. In automotive retail, it can transform the customer purchase journey, where a chatbot powered by ChatGPT can attend to customers 24/7, answer their queries, and guide them through the vehicle selection and purchase process. Within the vehicle, ChatGPT can usher in an era of an AI companion that can engage with the driver and occupants in natural language conversations.
Research Scope
The research scope of this study includes discussion of:
- Possible use cases of ChatGPT in the automotive value chain
- Evolving use cases and analysis of their impact on the automotive value chain of the future
- The automotive value chain, its subsegments, and the potential applications in those subsegments
- The potential integration of ChatGPT in existing automotive products and solutions
- The challenges associated with ChatGPT at the workplace and use cases that highlight the concerns around this technology
- Growth opportunities and key takeaways that derive from the analysis
Table of Contents
Strategic Imperatives
- Why Is It Increasingly Difficult to Grow?
- The Strategic Imperative 8™
- The Impact of the Top 3 Strategic Imperatives on Chat Generative Pre-trained Transformer (ChatGPT) in the Automotive Value Chain
- Growth Opportunities Fuel the Growth Pipeline Engine™
Growth Opportunity Analysis
- Scope of Analysis
- Growth Drivers
- Growth Restraints
Growth Environment
- ChatGPT Applications: Key Takeaways
- Snapshot of ChatGPT in Automotive OEM First Movers
- ChatGPT: Evolving Use Cases in Mobility
- ChatGPT: Impact on Various Automotive Application Areas
- Challenges: Countries Banning ChatGPT
- Challenges: Companies Reacting to Workplace Use Of ChatGPT
ChatGPT Use Cases in the Automotive Value Chain: Supply Chain and Manufacturing
- Automotive Applications: Overview
- Automotive Supply Chain Management: Overview
- Automotive Supply Chain: Working Scenario
- Automotive Supply Chain: Potential Adopters
- Automotive Manufacturing: Overview
- Automotive Manufacturing: Design
- Automotive Manufacturing: Production
- Automotive Manufacturing: Quality Control
- Automotive Manufacturing: Use Case, Mercedes Benz
- Applications in the Supply Chain and Manufacturing: Key Takeaways
ChatGPT Use Cases in Automotive Value Chain: Retail and In-vehicle Experience
- Automotive Retail: Overview
- Automotive Retail: Marketing
- Automotive Retail: Sales
- Automotive Retail: Sales: Use Case 1, Fullpath
- Automotive Retail: Sales: Use Case 2, Metaverse and ChatGPT
- Automotive Retail: Aftermarket
- ChatGPT: In-vehicle Experience: Overview
- In-vehicle Experience: Potential Use Case
- In-vehicle Experience: Mercedes Benz
- In-vehicle Experience: Stellantis: DS Automobiles
- Applications in Retail and In-vehicle Experience: Key Takeaways
ChatGPT in Automotive: Future Potential
- ChatGPT's Impact Across the Automotive Value Chain
- Automotive Technology Products and Platforms Incorporating LLMs in the Future
- ChatGPT in Automotive: Connected, Autonomous, Shared, and Electric (CASE)
- A Peek into ChatGPT's Future
Growth Opportunity Universe
- Growth Opportunity 1: Usher in the Next Generation of In-vehicle Experience
- Growth Opportunity 2: Revolutionize Customer Engagements
- Growth Opportunity 3: Support Smart Manufacturing
- List of Exhibits
- Legal Disclaimer
