Artificial Intelligence (AI) is no longer just a futuristic concept—it’s transforming the supply chain and logistics industry at a rapid pace. Businesses across the globe are using AI to enhance efficiency, accuracy, and cost-effectiveness, making logistics smarter and more responsive.
The LICQual Level 2 Award in Artificial Intelligence for Supply Chains and Logistics is designed for individuals who want to go beyond the basics and develop a deeper understanding of AI-driven logistics. LICQual Level 2 Award in Artificial Intelligence for Supply Chains and Logistics course provides learners with practical insights into how AI is applied in warehouse automation, predictive analytics, route optimization, and real-time supply chain decision-making.
With AI reshaping global supply chains, understanding its applications is becoming a must-have skill for professionals in logistics, transportation, and inventory management. This course will help you bridge the gap between AI technology and real-world logistics operations, preparing you for career growth in a tech-driven industry.
The LICQual Level 2 Award in Artificial Intelligence for Supply Chains and Logistics is designed to provide learners with a practical and in-depth understanding of AI applications in modern supply chains. As businesses increasingly rely on AI to enhance efficiency and decision-making, this course equips learners with the knowledge needed to navigate AI-powered logistics operations effectively. It goes beyond basic concepts, focusing on real-world applications of AI in warehouse management, demand forecasting, transportation optimization, and supply chain automation.
Throughout the LICQual Level 2 Award in Artificial Intelligence for Supply Chains and Logistics, learners will explore how machine learning algorithms enhance demand forecasting, helping businesses predict market trends, manage inventory levels, and reduce waste. They will also dive into AI-driven warehouse automation, learning how robotics, IoT, and smart systems are transforming inventory tracking and order fulfillment. Additionally, the course covers AI-powered transportation and route optimization, demonstrating how companies improve delivery speed and reduce operational costs through advanced AI-driven fleet management solutions.
A key focus of the course is data security and ethical AI practices, ensuring learners understand the risks, compliance requirements, and responsible use of AI in supply chains. With growing concerns about data privacy, algorithm bias, and AI accountability, the course provides essential insights into managing these challenges effectively.
Learners will also gain a forward-looking perspective on AI trends shaping the future of supply chains. Topics such as autonomous vehicles, AI-driven logistics planning, blockchain integration, and predictive analytics will be explored, helping participants understand how emerging technologies are revolutionizing supply chain management.
This course is structured to be engaging and career-focused, making it ideal for professionals, business owners, analysts, and students looking to build expertise in AI-driven logistics. By the end of the program, learners will have a solid understanding of AI applications in supply chains and be well-prepared to apply their knowledge in real-world logistics operations.
Course Overview
Qualification Title
LICQual Level 2 Award in Artificial Intelligence for Supply Chains and Logistics
Total Units
6
Total Credits
6
GLH
12
Qualification #
LICQ2200370
Qualification Specification
To enrol in the LICQual Level 2 Award in Artificial Intelligence for Supply Chains and Logistics, applicants must meet the following entry requirements:
- Educational Requirements: A basic understanding of AI or supply chain concepts is recommended but not mandatory. A minimum secondary school education (or equivalent qualification) is preferred. Prior completion of the LICQual Level 1 Award in AI for Supply Chains and Logistics is beneficial but not required.
- Experience: No formal work experience in AI or logistics is required, but a general understanding of business operations, supply chain, or technology can be helpful. The course is suitable for students, professionals, and business owners looking to enhance their AI knowledge. Individuals with prior exposure to logistics, IT, or data analytics may grasp the concepts more quickly.
- English Language Proficiency: The course is delivered in English, so learners should have a basic to intermediate level of English proficiency. A minimum CEFR Level A2 (Elementary) or equivalent is recommended for effective understanding. Non-native English speakers should have the ability to read, write, and comprehend AI and supply chain-related terminology.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200370-1 |
AI-driven Inventory Optimization |
1 |
2 |
|
LICQ2200370-2 |
AI in Transportation & Route Optimization |
1 |
2 |
|
LICQ2200370-3 |
Introduction to Predictive Analytics for Logistics |
1 |
2 |
|
LICQ2200370-4 |
AI and Last-Mile Delivery Solutions |
1 |
2 |
|
LICQ2200370-5 |
AI-powered Fraud Detection in Supply Chains |
1 |
2 |
|
LICQ2200370-6 |
Case Studies AI Success Stories in Logistics |
1 |
2 |
By the end of this course, learners will be able to:
AI-driven Inventory Optimization
- Understand how AI algorithms improve inventory management by predicting stock levels and reducing shortages.
- Analyze how machine learning models help in demand forecasting and warehouse efficiency.
- Apply AI-driven tools to enhance supply chain visibility and reduce excess inventory costs.
AI in Transportation & Route Optimization
- Explain how AI is used for real-time route optimization and fleet management.
- Understand how AI reduces transportation delays, fuel consumption, and logistics costs.
- Evaluate the impact of AI-powered predictive traffic management in global supply chains.
Introduction to Predictive Analytics for Logistics
- Define predictive analytics and its role in supply chain decision-making.
- Learn how AI analyzes historical data to forecast demand, minimize risks, and optimize supply chain operations.
- Understand how businesses use AI-driven insights for strategic supply chain planning.
AI and Last-Mile Delivery Solutions
- Explore how AI-powered tools improve delivery speed, efficiency, and customer experience.
- Learn about autonomous delivery systems, drones, and AI-driven logistics tracking.
- Understand the challenges and innovations in last-mile logistics and urban delivery solutions.
AI-powered Fraud Detection in Supply Chains
- Recognize how AI helps detect fraudulent activities, counterfeit goods, and financial risks in supply chains.
- Learn about AI-based security tools that enhance compliance, risk assessment, and fraud prevention.
- Understand how real-time data monitoring and anomaly detection protect supply chain integrity.
Case Studies: AI Success Stories in Logistics
- Analyze real-world examples of AI implementation in global supply chains.
- Evaluate how leading companies have successfully integrated AI to enhance efficiency and reduce costs.
- Learn from industry case studies about best practices and lessons learned in AI-powered logistics.
This diploma is ideal for:
- Supply chain and logistics professionals looking to integrate AI-driven solutions into their operations.
- Business owners and entrepreneurs seeking to optimize inventory, transportation, and delivery processes using AI.
- Data analysts and IT professionals interested in AI applications for logistics and supply chain management.
- Students and recent graduates wanting to build expertise in AI-powered logistics.
- Operations managers aiming to improve efficiency through AI-driven automation and predictive analytics.
- Transportation and fleet managers seeking to enhance route optimization and reduce costs using AI.
- E-commerce and retail professionals looking to leverage AI for demand forecasting and last-mile delivery.
- Risk management and compliance officers interested in AI-powered fraud detection and security.
- AI and machine learning enthusiasts keen to explore real-world applications in logistics and supply chain management.
- Consultants and business strategists aiming to understand the impact of AI on modern supply chains.
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.