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ChatGPT Use Cases in the Automotive Value Chain, 2023 Industry Research Report Featuring Fullpath, Mercedes Benz, Meta, and Stellantis - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "ChatGPT Use Cases in the Automotive Value Chain" report has been added to ResearchAndMarkets.com's offering.

This study delves into the potential applications of ChatGPT within the automotive value chain, exploring various use cases and their evolving impact on future automotive operations. It examines the different segments of the automotive value chain and identifies potential applications of ChatGPT within each segment.

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.

Additionally, the study assesses the feasibility of integrating ChatGPT into existing automotive products and solutions. Furthermore, it discusses the challenges associated with implementing ChatGPT in the workplace and highlights use cases that underscore concerns surrounding this technology.

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.

Finally, the study identifies growth opportunities and key takeaways derived from the analysis, providing insights for stakeholders in the automotive industry.

Growth Opportunity Universe

  • Usher in the Next Generation of In-vehicle Experience
  • Revolutionize Customer Engagements
  • Support Smart Manufacturing

A selection of companies mentioned in this report includes

  • Fullpath
  • Mercedes Benz
  • Meta
  • Stellantis (DS Automobiles)

Key Topics Covered:

1. Strategic Imperatives

  • Why Is It Increasingly Difficult to Grow?
  • The Strategic Imperative
  • 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

2. Growth Opportunity Analysis

  • Scope of Analysis
  • Growth Drivers
  • Growth Restraints

3. 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

4. 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

5. 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

6. 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

For more information about this report visit https://www.researchandmarkets.com/r/b5gv71

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Contacts

ResearchAndMarkets.com
Laura Wood, Senior Press Manager
press@researchandmarkets.com

For E.S.T Office Hours Call 1-917-300-0470
For U.S./ CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

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