The logistics and supply chain industry is evolving at an unprecedented pace, and Artificial Intelligence (AI) is at the heart of this transformation. Businesses across the globe are leveraging AI to streamline operations, enhance efficiency, and improve decision-making. The LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics is designed to equip professionals with the knowledge and skills needed to navigate this AI-driven revolution.
LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics offers a deep dive into AI applications, focusing on how predictive analytics, automation, machine learning, and real-time data processing are reshaping supply chains.
Whether you’re an industry professional looking to upskill or a business owner aiming to implement AI-driven solutions, this program provides practical insights and hands-on learning experiences to help you stay ahead in the competitive world of logistics.
With AI improving everything from demand forecasting and warehouse management to route optimization and risk assessment, understanding how to integrate these technologies is no longer optional—it’s essential. This certification gives you a strategic advantage, preparing you to tackle modern supply chain challenges with confidence.
The LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics is designed to provide a comprehensive understanding of AI-driven solutions in modern logistics. This course explores how AI is transforming supply chain management by enhancing efficiency, automation, and decision-making.
Learners will gain hands-on knowledge of predictive analytics for demand forecasting, AI-powered warehouse management, route optimization, and risk assessment. LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics program also covers AI’s role in cybersecurity, sustainability, and real-time logistics monitoring, ensuring that participants develop a well-rounded expertise in AI applications for supply chains.
Through practical case studies, real-world scenarios, and industry insights, this certification prepares individuals to implement AI-driven strategies, optimize logistics operations, and tackle modern supply chain challenges with confidence. Whether you are a professional looking to upskill or a business owner aiming to leverage AI for operational efficiency, LICQual Level 3 Certificate in Artificial Intelligence for Supply Chains and Logistics provides valuable, future-proof knowledge for the evolving world of supply chain management.
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.