Generative AI in Logistics and Supply Chain Management
Generative AI in Logistics and Supply Chain Management
Published 7/2024
Duration: 3h44m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 504 MB
Genre: eLearning | Language: English
Learn AI in Logistics and Supply Chain with 1000 Prompts
What you'll learn
Generative AI in Logistics
Generative AI in Supply Chain Management
AI in Logistics and Supply chain with its use cases
1000 Expert Prompts for Logistics and Supply Chain Management
Requirements
Eager to learn.
Description
This course delves into the transformative potential of Generative AI within the realms of logistics and supply chain management. Students will begin with a comprehensive introduction to
Introduction: Understanding Logistics Management
, exploring its fundamental components and the pivotal role it plays in effective supply chain operations. The course then transitions into the intricacies of
Integrated Logistics Systems
, highlighting the benefits and challenges of creating a cohesive logistical framework.
A detailed examination of
Market Logistics Decisions
will equip students with the knowledge to make strategic choices that optimize logistical efficiency and responsiveness. The curriculum further explores the integration of AI in logistics, presenting
AI in Logistics
and practical applications of artificial intelligence and machine learning that drive innovation and efficiency in logistical processes.
Students will engage with a variety of
AI Use Cases and Benefits in Logistics
, gaining insights from real-world examples and case studies. The course covers the impact of
Logistics Industry 4.0
, with a focus on the
Internet of Things (IoT) and Cloud Logistics
, illustrating how these technologies enhance connectivity and data-driven decision-making.
Big Data
,
Artificial Intelligence
,
Robotics and Automation
, and
Blockchain
are dissected to showcase their individual and collective impact on modern supply chain management. The course also addresses the
Key Challenges for Logistics Industry 4.0
and presents strategies for overcoming these obstacles.
A significant portion of the course is dedicated to
AI-driven transformation of SCM
. Students will learn about the
Steps in AI-driven Transformation of SCM
and explore detailed methodologies for implementing AI-driven supply chain strategies. The course culminates with a unique component:
1000 Prompts for Generative AI in Logistics and Supply Chain Management
, providing students with practical tools to apply AI in diverse scenarios within the logistics sector.
Through a combination of theoretical knowledge and practical insights, this course prepares students to leverage Generative AI to revolutionize logistics and supply chain management, ensuring they are well-equipped to lead in this dynamic and evolving field.
Who this course is for:
Supply chain Professionals
Logistics Professional
Freshers and Experienced Candidates
More Info
What you'll learn
Generative AI in Logistics
Generative AI in Supply Chain Management
AI in Logistics and Supply chain with its use cases
1000 Expert Prompts for Logistics and Supply Chain Management
Requirements
Eager to learn.
Description
This course delves into the transformative potential of Generative AI within the realms of logistics and supply chain management. Students will begin with a comprehensive introduction to
Introduction: Understanding Logistics Management
, exploring its fundamental components and the pivotal role it plays in effective supply chain operations. The course then transitions into the intricacies of
Integrated Logistics Systems
, highlighting the benefits and challenges of creating a cohesive logistical framework.
A detailed examination of
Market Logistics Decisions
will equip students with the knowledge to make strategic choices that optimize logistical efficiency and responsiveness. The curriculum further explores the integration of AI in logistics, presenting
AI in Logistics
and practical applications of artificial intelligence and machine learning that drive innovation and efficiency in logistical processes.
Students will engage with a variety of
AI Use Cases and Benefits in Logistics
, gaining insights from real-world examples and case studies. The course covers the impact of
Logistics Industry 4.0
, with a focus on the
Internet of Things (IoT) and Cloud Logistics
, illustrating how these technologies enhance connectivity and data-driven decision-making.
Big Data
,
Artificial Intelligence
,
Robotics and Automation
, and
Blockchain
are dissected to showcase their individual and collective impact on modern supply chain management. The course also addresses the
Key Challenges for Logistics Industry 4.0
and presents strategies for overcoming these obstacles.
A significant portion of the course is dedicated to
AI-driven transformation of SCM
. Students will learn about the
Steps in AI-driven Transformation of SCM
and explore detailed methodologies for implementing AI-driven supply chain strategies. The course culminates with a unique component:
1000 Prompts for Generative AI in Logistics and Supply Chain Management
, providing students with practical tools to apply AI in diverse scenarios within the logistics sector.
Through a combination of theoretical knowledge and practical insights, this course prepares students to leverage Generative AI to revolutionize logistics and supply chain management, ensuring they are well-equipped to lead in this dynamic and evolving field.
Who this course is for:
Supply chain Professionals
Logistics Professional
Freshers and Experienced Candidates
More Info
