AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in New Zealand (online or on-site) is aimed at intermediate to advanced-level supply chain professionals who wish to improve demand forecasting accuracy and optimise S&OP processes.

By the end of this training, participants will be able to:

• Enhance statistical forecast accuracy and reduce demand variability.
• Implement best practices in S&OP for both perishable and non-perishable products.
• Utilise advanced forecasting techniques and data analytics for demand planning.
• Optimise cross-functional collaboration between sales, operations, and supply chain teams.
• Leverage digital tools to support better S&OP decision-making.

AI-powered predictive maintenance leverages machine learning and data analytics to forecast equipment failures and optimise maintenance schedules. It transforms reactive maintenance models into proactive strategies, enabling improved uptime, cost reduction, and extended asset longevity.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals seeking to implement AI-driven predictive maintenance solutions within industrial environments.

By the end of this training, participants will be able to:

• Understand how predictive maintenance differs from reactive and preventive maintenance strategies.
• Collect and structure machine data for AI-powered analysis.
• Apply machine learning models to detect anomalies and predict failures.
• Implement end-to-end workflows from sensor data to actionable insights.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises and real-world case studies.
• Live demonstrations and practical data workflows.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

AI for Process Optimisation involves applying machine learning and data analytics to enhance efficiency, quality, and throughput in manufacturing operations.

This instructor-led, live training (available online or on-site) is designed for intermediate-level manufacturing professionals who wish to apply AI techniques to streamline operations, reduce downtime, and support continuous improvement initiatives.

By the end of this training, participants will be able to:

• Understand AI concepts relevant to manufacturing optimisation.
• Collect and prepare production data for analysis.
• Apply machine learning models to identify bottlenecks and predict failures.
• Visualise and interpret results to support data-driven decisions.

Format of the Course

• Interactive lectures and discussions.
• Plenty of exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

AI for Quality Control involves the use of computer vision and machine learning techniques to identify defects, anomalies, and deviations within production processes.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level quality professionals who wish to apply AI tools to automate inspections and enhance product quality in manufacturing settings.

By the end of this training, participants will be able to:

• Understand how AI is applied in industrial quality control.
• Collect and label image or sensor data from production lines.
• Use machine learning and computer vision to detect defects.
• Develop simple AI models for anomaly detection and yield forecasting.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

AI in Smart Factories refers to the application of artificial intelligence to automate, monitor, and optimise industrial operations in real time.

This instructor-led, live training (available online or on-site) is designed for beginner-level decision-makers and technical leads seeking a strategic and practical introduction to leveraging AI within smart factory environments.

By the end of this training, participants will be able to:

• Understand the core principles of AI and machine learning.
• Identify key AI use cases in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimisation.
• Evaluate the steps involved in launching AI-driven initiatives.

Course Format

• Interactive lectures and discussions.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

AI Use Case Implementation is a hands-on, project-driven approach to applying machine learning, computer vision, and data analytics to solve real-world industrial challenges using actual or simulated datasets.

This instructor-led, live training (online or onsite) is aimed at intermediate-level cross-functional teams who wish to collaboratively implement AI use cases aligned with their operational goals and gain experience working with industrial data pipelines.

By the end of this training, participants will be able to:

• Select and scope practical AI use cases from operations, quality, or maintenance.
• Work collaboratively across roles to develop machine learning solutions.
• Handle, clean, and analyse diverse industrial datasets.
• Present a working prototype of an AI-enabled solution based on a selected use case.

Format of the Course

• Interactive lecture and discussion.
• Group-based exercises and project work.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for intermediate-level supply chain professionals who want comprehensive preparation for the Certified Supply Chain Professional (CSCP) exam.

By the end of this training, participants will be able to:

• Gain an in-depth understanding of all key areas of supply chain management, from demand forecasting to logistics and distribution.
• Prepare for the Certified Supply Chain Professional (CSCP) exam through targeted study materials, practice exams, and review sessions.
• Apply supply chain management principles and best practices in real-world scenarios, improving operational efficiency and effectiveness.
• Learn how to identify, assess, and mitigate supply chain risks to ensure business continuity and resilience.
• Manage global supply chains, including navigating international logistics, regulatory challenges, and cultural differences.

This instructor-led, live training in New Zealand (online or onsite) is designed for supply chain professionals seeking to establish robust control and oversight of their supply chain, particularly in relation to cybersecurity.

By the conclusion of this training, participants will be able to:

• Identify security oversights that could cause significant damage and disruption to a supply chain.
• Break down complex security challenges into manageable and actionable components.
• Address common supply chain vulnerabilities by analysing high-risk areas and engaging effectively with stakeholders.
• Adopt best practices for securing a supply chain.
• Significantly reduce or eliminate the most critical risks to an organisation's supply chain.

Digital Twins are virtual replicas of physical systems, enhanced by real-time data and AI-driven intelligence.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who wish to build, deploy, and optimise digital twin models using real-time data and AI-based insights.

By the end of this training, participants will be able to:

• Understand the architecture and components of digital twins.
• Use simulation tools to model complex systems and environments.
• Integrate real-time data streams into virtual models.
• Apply AI techniques for predictive behaviour and anomaly detection.

Course Format

• Interactive lectures and discussions.
• Plenty of exercises and practical sessions.
• Hands-on implementation in a live lab environment.

Course Customisation Options

• To request a customised version of this course, please contact us to arrange.

Edge AI involves deploying artificial intelligence models directly on devices and machines at the edge of the network, enabling real-time decision-making with minimal latency.

This instructor-led, live training (available online or on-site) is designed for advanced-level embedded and IoT professionals seeking to deploy AI-powered logic and control systems within manufacturing environments where speed, reliability, and offline operation are critical.

By the end of this training, participants will be able to:

• Understand the architecture and benefits of edge AI systems.
• Build and optimise AI models for deployment on embedded devices.
• Use tools such as TensorFlow Lite and OpenVINO for low-latency inference.
• Integrate edge intelligence with sensors, actuators, and industrial protocols.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

Global Supplier Management is a strategic approach to sourcing goods and services from international markets, aiming to boost competitiveness, reduce costs, and access innovation.

This instructor-led, live training (available online or on-site) is designed for procurement and supply chain professionals at beginner to advanced levels who wish to develop and qualify suppliers in China while effectively managing the complexities of global sourcing.

By the end of this training, participants will be able to:

• Understand the benefits, risks, and challenges associated with global sourcing.
• Navigate cultural differences and communication styles when working with Chinese suppliers.
• Identify, qualify, and manage suppliers in China in line with international standards.
• Adapt procurement and bidding processes to better accommodate foreign suppliers, thereby increasing participation and success rates.

Course Format

• Interactive lectures and discussions.
• Case studies and real-world examples.
• Practical tools and checklists for effective supplier management.

Course Customisation Options

• To request a customised version of this training, please contact us to make arrangements.

Industrial computer vision with AI is transforming how manufacturers and QA teams detect surface defects, verify part conformity, and automate visual inspection processes.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level QA teams, automation engineers, and developers who wish to design and implement computer vision systems for defect detection and inspection using AI techniques.

By the end of this training, participants will be able to:

• Understand the architecture and components of industrial vision systems.
• Build AI models for visual defect detection using deep learning.
• Integrate real-time inspection pipelines with industrial cameras and devices.
• Deploy and optimise AI-powered inspection systems for production environments.

Format of the Course

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level supply chain managers and ERP administrators who wish to learn how to use Microsip SCM to manage and enhance their supply chain processes and performance.

By the end of this training, participants will be able to:

• Understand the core concepts and benefits of Microsip SCM and its integration with Microsip ERP.
• Plan, execute, and control their supply chain processes using Microsip SCM.
• Monitor and analyse their supply chain performance and identify opportunities for improvement.
• Collaborate and communicate effectively with suppliers, customers, and partners.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for managers seeking to streamline an organisation's supply chain operations, both internally across departments and externally with customers, suppliers, contract manufacturers, logistics service providers, and other partners.

Smart Robotics involves integrating artificial intelligence into robotic systems to enhance perception, decision-making, and autonomous control.

This instructor-led, live training (available online or on-site) is designed for advanced-level robotics engineers, systems integrators, and automation leads who aim to implement AI-driven perception, planning, and control within smart manufacturing environments.

By the end of this training, participants will be able to:

• Understand and apply AI techniques for robotic perception and sensor fusion.
• Develop motion planning algorithms for collaborative and industrial robots.
• Deploy learning-based control strategies for real-time decision making.
• Integrate intelligent robotic systems into smart factory workflows.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.