LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics

Artificial Intelligence (AI) is revolutionizing the supply chain and logistics industry, transforming how businesses manage inventory, streamline operations, and optimize deliveries. With increasing global demand for faster, smarter, and more efficient supply chain solutions, AI has become a critical tool for companies looking to stay ahead in a competitive market.

The LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics is designed to provide learners with a strong foundation in AI applications within logistics and supply chain management. LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics course is perfect for professionals, students, and business owners who want to understand AI-driven innovations and how they can enhance operational efficiency. Through practical learning and real-world examples, participants will gain valuable insights into AI-powered logistics, helping them develop future-ready skills.

The LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics provides a foundational understanding of how AI is reshaping the supply chain and logistics industry. As businesses worldwide continue to embrace automation, data-driven decision-making, and AI-powered optimization, this course equips learners with the essential knowledge and skills to stay ahead in an evolving industry.

LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics program covers the core principles of AI in supply chain management, helping participants understand how AI enhances efficiency, accuracy, and cost-effectiveness in various logistics operations. From demand forecasting and route optimization to AI-driven automation in warehousing, this course provides a step-by-step introduction to AI’s most impactful applications.

Through real-world case studies and interactive learning, participants will explore how AI is used to analyze vast amounts of data, predict market trends, and optimize supply chain performance. LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics course also emphasizes ethical considerations and data privacy, ensuring learners understand how to implement AI responsibly while maintaining compliance with global standards.

This introductory-level certification is designed to be engaging, practical, and industry-relevant, making it ideal for students, professionals, and business owners eager to explore AI’s potential in the global supply chain ecosystem.

Course Overview


Qualification Title

LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics


Total Units

6

Total Credits

12

GLH

36

Qualification #

LICQ2200372


Qualification Specification

Download Qualification Specification

To enrol in the LICQual Level 1 Certificate in Artificial Intelligence for Supply Chains and Logistics, applicants must meet the following entry requirements:

  1. Educational Requirements: No formal educational qualifications are required, making the course accessible to beginners. A basic understanding of logistics, supply chains, or technology concepts is beneficial but not mandatory. Ideal for students, professionals, and business owners looking to gain foundational AI knowledge in supply chains.
  2. Experience: No prior work experience is necessary, making this course suitable for newcomers to AI and logistics. Individuals with basic exposure to supply chain management, e-commerce, or business operations may find it easier to grasp concepts. Professionals already working in logistics or tech-related fields can use this course as an entry point into AI-driven supply chains.
  3. English Language Proficiency: The course is delivered in English, requiring a basic understanding of written and spoken English. A minimum of CEFR Level A2 (Elementary) or equivalent is recommended for effective learning. Learners should be comfortable with simple technical terms related to AI and logistics.
  4. Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.

Qualification#

Unit Title

Credits

GLH

LICQ2200372-1

LICQ2200372-2

Fundamentals of AI in Supply Chains & Logistics

AI and Robotics in Warehousing

2

2

6

6

LICQ2200372-3

AI-driven Inventory Management Strategies

2

6

LICQ2200372-4

Introduction to AI-based Demand Planning

2

6

LICQ2200372-5

Ethical AI Practices & Data Protection in Logistics

2

6

LICQ2200372-6

The Future of AI in Logistics & E-commerce

2

6

By the end of this course, learners will be able to:

Fundamentals of AI in Supply Chains & Logistics

  • Understand the basic concepts of AI and its applications in supply chain and logistics.
  • Identify how AI improves efficiency, accuracy, and cost-effectiveness in logistics operations.
  • Recognize key AI technologies such as machine learning, automation, and predictive analytics.

AI and Robotics in Warehousing

  • Explain the role of AI-driven robotics, automation, and IoT in modern warehouses.
  • Understand how AI enhances warehouse efficiency, order fulfillment, and operational accuracy.
  • Identify real-world examples of AI-powered robotic systems in supply chain management.

AI-driven Inventory Management Strategies

  • Learn how AI optimizes inventory control, stock levels, and demand-supply balance.
  • Apply AI techniques to reduce overstocking, understocking, and waste.
  • Understand the benefits of real-time data analysis and AI-powered forecasting in inventory planning.

Introduction to AI-based Demand Planning

  • Explore how AI helps businesses anticipate market trends and customer demand.
  • Understand how predictive analytics can reduce supply chain disruptions and delays.
  • Learn about AI’s role in improving production planning, procurement, and order management.

Ethical AI Practices & Data Protection in Logistics

  • Recognize the importance of data privacy, AI ethics, and regulatory compliance in logistics.
  • Understand potential risks such as bias in AI algorithms, cybersecurity threats, and data misuse.
  • Learn best practices for ensuring responsible AI implementation in supply chain operations.

The Future of AI in Logistics & E-commerce

  • Analyze emerging AI trends shaping the future of logistics, transportation, and e-commerce.
  • Explore advancements such as autonomous delivery systems, AI-driven customer support, and blockchain integration.
  • Identify how AI innovations will continue to enhance supply chain efficiency and global trade.

This diploma is ideal for:

  • Supply chain and logistics professionals looking to understand AI-driven innovations in their industry.
  • Business owners and entrepreneurs aiming to integrate AI into their supply chain operations for improved efficiency.
  • Students and beginners interested in learning the fundamentals of AI in logistics and e-commerce.
  • Warehouse and inventory managers seeking to explore AI-powered automation and robotics.
  • IT and tech professionals looking to apply AI in supply chain management and logistics optimization.
  • E-commerce professionals wanting to leverage AI for demand forecasting, inventory management, and customer service.
  • Data analysts and AI enthusiasts exploring real-world applications of AI in supply chains.
  • Professionals in transportation and fleet management interested in AI-powered route optimization and automation.
  • Compliance and security personnel focusing on ethical AI practices and data protection in logistics.
  • Anyone interested in future trends and emerging technologies in AI-driven supply chains and logistics.

Assessment and Verification

All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.

To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.

Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.