Welcome to the LICQual Level 2 Diploma in Artificial Intelligence for Supply Chains and Logistics! If you’re looking to enhance your career with cutting-edge AI skills tailored for supply chain management and logistics, you’re in the right place.
Artificial Intelligence (AI) is transforming industries worldwide, and the logistics sector is no exception. From predictive analytics to automated decision-making, AI is optimizing everything—from warehouse operations to last-mile delivery. LICQual Level 2 Diploma in Artificial Intelligence for Supply Chains and Logistics course is designed to help you understand AI’s role in streamlining supply chains, reducing costs, and improving efficiency.
But don’t worry—you don’t need to be a tech genius to get started! This course breaks down complex AI concepts into simple, practical lessons that are easy to understand and apply. Whether you’re a beginner in AI or an experienced supply chain professional looking to upgrade your skills, this diploma is your stepping stone to the future of logistics.
Throughout the course, students will explore key AI concepts, such as predictive analytics, machine learning, and automation, and how they can be leveraged to enhance various aspects of the supply chain. The curriculum covers critical areas like demand forecasting, inventory management, and route optimization.
Students will also gain insights into how AI is transforming warehouse operations through automation, robotics, and smart systems that improve both speed and accuracy in processes such as order picking and fulfillment. Additionally, the course delves into the application of AI in transportation management, where AI technologies are used to optimize fleet management, reduce delivery times, and minimize transportation costs.
A major focus of the diploma is ensuring students understand the ethical and security implications of implementing AI solutions. As AI becomes more integrated into business operations, the ethical considerations and data security risks associated with AI adoption are crucial.
The course addresses these topics, equipping students with the knowledge to navigate these challenges responsibly. By the end of the course, students will have gained a solid understanding of AI’s practical applications in supply chains and logistics, giving them the tools to drive innovation and improve operational efficiency in their respective fields.
The LICQual Level 2 Diploma is designed for a diverse audience, including supply chain professionals seeking to upskill, logistics managers looking to enhance their operations with AI, and individuals interested in pursuing a career in this rapidly evolving field. With its beginner-friendly approach, industry-relevant curriculum, and hands-on learning opportunities, this course provides students with the practical skills and certification needed to excel in the modern supply chain landscape.
Course Overview
Qualification Title
LICQual Level 2 Diploma in Artificial Intelligence for Supply Chains and Logistics
Total Units
6
Total Credits
36
GLH
120
Qualification #
LICQ2200376
Qualification Specification
To enrol in the LICQual Level 2 Diploma in Artificial Intelligence for Supply Chains and Logistics, candidates must meet the following entry requirements:
- Educational Requirements: Candidates should have completed secondary education (GCSEs or equivalent), with a basic understanding of English and Mathematics. No prior AI or supply chain knowledge is required.
- Experience: While no formal work experience is needed, candidates with an interest or background in supply chain management, logistics, or business operations will find the course more engaging.
- English Language Proficiency: Non-native English speakers must demonstrate proficiency, typically with an IELTS score of 5.5 or equivalent, to ensure effective understanding of course materials.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200376-1 LICQ2200376-2 |
AI in Supply Chain Process Automation AI & IoT in Real-Time Shipment Tracking |
6 6 |
20 20 |
|
LICQ2200376-3 |
AI-driven Procurement & Supplier Analysis |
6 |
20 |
|
LICQ2200376-4 |
Predictive Maintenance Using AI in Logistics Equipment |
6 |
20 |
|
LICQ2200376-5 |
AI for Enhancing Customer Experience in Logistics |
6 |
20 |
|
LICQ2200376-6 |
AI & Ethical Considerations in Supply Chain Analytics |
6 |
20 |
By the end of this course, learners will be able to:
AI in Supply Chain Process Automation
- Understand how AI can automate key supply chain processes to improve efficiency, reduce human error, and lower operational costs.
- Analyze the role of AI in optimizing inventory management, order fulfillment, and demand forecasting.
- Evaluate the impact of AI-driven automation on overall supply chain performance and business operations.
AI & IoT in Real-Time Shipment Tracking
- Explain how AI and the Internet of Things (IoT) work together to enable real-time shipment tracking.
- Demonstrate how AI analyzes IoT data to provide insights into shipment status, potential delays, and route optimization.
- Assess the benefits of real-time tracking for improving logistics efficiency, transparency, and customer satisfaction.
AI-driven Procurement & Supplier Analysis
- Learn how AI can streamline procurement processes by automating supplier analysis and selection.
- Understand how AI tools evaluate supplier performance, pricing trends, and risk factors for better decision-making.
- Apply AI-driven techniques to identify cost-saving opportunities and optimize supplier relationships.
Predictive Maintenance Using AI in Logistics Equipment
- Discover how AI can be used to predict maintenance needs for logistics equipment and reduce downtime.
- Understand the role of machine learning algorithms in analyzing equipment data and forecasting potential failures.
- Develop strategies to implement AI-based predictive maintenance in warehouses, trucks, and other logistics operations.
AI for Enhancing Customer Experience in Logistics
- Identify how AI can be used to personalize customer interactions and improve service delivery in logistics.
- Explore the role of AI in predicting customer needs, enhancing order accuracy, and providing faster response times.
- Evaluate the impact of AI on customer loyalty and satisfaction in the logistics industry.
AI & Ethical Considerations in Supply Chain Analytics
- Discuss the ethical challenges of using AI in supply chain analytics, including data privacy and algorithmic bias.
- Understand the social and environmental implications of AI applications in supply chains.
- Develop an understanding of responsible AI practices that ensure fairness, transparency, and accountability in decision-making.
This diploma is ideal for:
- Individuals looking to advance their careers in supply chain management and logistics by integrating AI technologies.
- Supply chain professionals who want to enhance their skills in automation, predictive analytics, and real-time tracking solutions.
- Logistics managers and operations professionals aiming to optimize their processes with AI tools for better efficiency and cost reduction.
- Business owners and entrepreneurs seeking to adopt AI-driven strategies to improve procurement, inventory, and customer service.
- Students or recent graduates interested in pursuing a career in AI, supply chains, or logistics.
- Professionals from industries like warehousing, transportation, and distribution, looking to gain a deeper understanding of AI applications in logistics.
- Anyone interested in learning how AI can transform business operations, increase competitive advantage, and improve sustainability in supply chain and logistics systems.
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.