Unlock advanced AI strategies and lead the digital transformation of global supply chains with the LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics. This comprehensive qualification is designed for professionals who are ready to take on more strategic roles in the logistics and supply chain industry by harnessing the power of cutting-edge artificial intelligence.
As AI continues to revolutionize supply chain management—enabling smarter decisions, optimizing processes, and reducing costs—this course will give you the advanced skills required to implement and manage AI-driven solutions effectively.
The LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics equips you with in-depth knowledge of how AI is reshaping every facet of logistics and supply chain management. From automating logistics planning and optimizing warehouse operations to implementing AI-powered analytics for predictive maintenance, this qualification dives deep into the technical and strategic aspects of AI in supply chain environments. Whether you’re looking to enhance your leadership capabilities or lead AI-driven supply chain projects, this course offers the practical insights and expert guidance to elevate your career to the next level.
The LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics is an advanced course that takes learners beyond the basics of AI, exploring its strategic applications and advanced technologies that optimize logistics operations and supply chain efficiency.
This course focuses on integrating AI with existing supply chain infrastructure, equipping you with the expertise to design, implement, and manage sophisticated AI systems that enhance productivity, minimize costs, and ensure sustainability.
This advanced qualification is perfect for professionals who already have experience in logistics, supply chain management, or AI technology and want to specialize in leveraging AI to drive digital transformation within their organizations. The course will equip you with the knowledge to oversee AI projects, manage complex logistics systems, and lead AI-driven innovation in any global supply chain network.
Delivered through flexible learning modules, the LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics is designed to accommodate busy professionals, allowing you to progress at your own pace while benefiting from expert tutor support.
By completing this qualification, you will not only enhance your technical skills but also position yourself as a strategic leader capable of implementing the latest AI technologies to future-proof supply chains and drive business success in a rapidly evolving industry.
Course Overview
Qualification Title
LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics
Total Units
6
Total Credits
24
GLH
120
Qualification #
LICQ2200374
Qualification Specification
To enrol in the LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics, candidates must meet the following entry requirements:
- Educational Requirements: A Level 2 qualification in supply chain, logistics, business, or IT is recommended but not mandatory. A high school diploma (or equivalent) with an interest in AI and logistics is acceptable. Prior knowledge of supply chain management, AI, or data analytics is beneficial.
- Experience: No prior experience is required, but professionals in logistics, supply chain, or business operations will benefit. Ideal for managers, business owners, and IT professionals looking to integrate AI solutions. Basic experience in AI, data analysis, or automation tools is helpful but not essential.
- English Language Proficiency: Course materials are in English, so a basic to intermediate understanding of reading, writing, and communication is needed. No formal certification is required, but learners should engage comfortably with videos, discussions, and assessments. Strong communication skills will help in understanding and applying AI concepts.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200374-1 LICQ2200374-2 |
AI and Big Data for Supply Chain Optimization AI-Based Dynamic Pricing Strategies in Logistics |
4 4 |
20 20 |
|
LICQ2200374-3 |
Role of AI in Warehouse Robotics & Automation |
4 |
20 |
|
LICQ2200374-4 |
AI and Blockchain for End-to-End Supply Chain Security |
4 |
20 |
|
LICQ2200374-5 |
Case Studies: AI Transforming Global Logistics Companies |
4 |
20 |
|
LICQ2200374-6 |
AI-powered Risk Prediction & Management in Supply Chains |
4 |
20 |
By the end of this course, learners will be able to:
AI and Big Data for Supply Chain Optimization
- Understand how AI and big data analytics enhance supply chain efficiency and decision-making.
- Learn how AI-driven insights help reduce costs, improve demand forecasting, and streamline operations.
- Apply data-driven AI tools to optimize logistics, procurement, and inventory management.
AI-Based Dynamic Pricing Strategies in Logistics
- Explore how AI-driven pricing algorithms adjust rates based on demand, market trends, and competition.
- Learn how machine learning models optimize pricing for freight, warehousing, and last-mile delivery.
- Understand how businesses use AI for real-time pricing adjustments and cost-effectiveness.
Role of AI in Warehouse Robotics & Automation
- Discover how AI-powered robotics and automation are transforming warehouse operations.
- Learn about autonomous robots, AI-driven sorting, and robotic process automation (RPA) in logistics.
- Understand the impact of AI in reducing human errors, increasing efficiency, and improving productivity.
AI and Blockchain for End-to-End Supply Chain Security
- Understand how AI and blockchain technology enhance transparency, traceability, and security in supply chains.
- Learn how AI-powered fraud detection and smart contracts improve supply chain integrity.
- Explore real-world use cases of AI-blockchain integration in securing global supply networks.
Case Studies: AI Transforming Global Logistics Companies
- Analyze real-world case studies of leading companies leveraging AI to revolutionize logistics.
- Learn how AI-driven automation, predictive analytics, and machine learning models enhance operations.
- Understand key success factors and challenges in implementing AI in global supply chains.
AI-Powered Risk Prediction & Management in Supply Chains
- Explore how AI helps identify, predict, and mitigate risks in complex supply chain networks.
- Learn about AI-powered risk assessment models for demand fluctuations, supplier failures, and disruptions.
- Understand how AI-driven simulations and predictive analytics enhance supply chain resilience.
This diploma is ideal for:
- Supply Chain and Logistics Professionals looking to integrate AI for enhanced efficiency and automation.
- Business Owners and Managers aiming to leverage AI-driven solutions for cost reduction and optimization.
- Warehouse and Operations Managers seeking AI-powered tools for robotics, inventory control, and automation.
- IT and AI Enthusiasts interested in exploring AI applications in logistics and supply chain security.
- Procurement and Risk Management Specialists wanting to implement AI for predictive analytics and risk mitigation.
- Data Analysts and AI Developers looking to apply machine learning and big data analytics in logistics.
- Students and Graduates aspiring to build a career in AI-driven supply chain and logistics management.
- Anyone Curious About AI in Supply Chains, whether beginners or professionals, looking to stay ahead in the evolving industry.
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.
