Machine learning in Supply Chain
- Powering the planning revolution to Identify stock fluctuations.
- Forecast trends and demands for products.
- Detect excesses and shortages of assets in a store.
- Optimize production planning.
The next wave of technology - artificial intelligence (AI) - is already making sense of the deluge of operational data streaming in from a plethora of devices and cloud applications. This technology is also applying advanced mathematics to create products, processes, and systems that can adapt and learn.
Machine learning capabilities apply algorithms to massive opera- tional data feeds to discover insights to track and predict supply chain disruptions, providing new levels of visibility into day-to-day operations. These capabilities can also recommend alternative ac- tions for unplanned events and transportation disruptions. Weath- er data integrated with operational data can predict potential problems and alert transportation and logistics service personnel with recommended actions.
Topics evaluated in CSAI®
- Machine learning in Supply Chain
- Machine learning (ML) techniques
- ML algorithms
- How to apply ML in demand forecasting, sales and operation planning (S&OP), and inventory management
- ML in production planning and predictive maintenance
- Forecasting
- Advanced analytics techniques using engine downtime predictive modeling example
American Association of Procurement and Supply Chain Management (AAPSCM)®
Machine learning (ML) techniques
- Predict customer demand and optimize production planning.
- Optimize routing decisions for vehicles.
- Provide end-to-end visibility from suppliers to customers.
- Automate order fulfillment.
How to apply ML in demand forecasting, sales and operation planning (S&OP), and inventory management
- Use cases of AI/ML in Supply Chain.
- Ensemble Methods in Predicting customer’s behavior.
- Genetic algorithms for improving delivery times and reducing costs.
ML in production planning and predictive maintenance
- Representation Leaning in Supply Chain.
- Deep Reinforcement Learning in building effective supply chain optimization models.
Forecasting
- Demand Forecast and Fulfillment with AI.
- Blockchain-backed immutability and trust.
Advanced analytics techniques using engine downtime predictive modeling example
- Predictive Monitoring and Techniques.
- Exploring predictive analytics and test what-if scenarios in analytics apps, with real-time calculations.
ML algorithms
- AI solutions for Pain points in supply chain management.
- Potential role of AI in the supply chain.
- Necessary algorithms & Tools and framework.
CSAI® Virtual/Online Instructor-led 4-day Training
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Gleb Mikulich – AAPSCM® Executive Trainer | Supply Chain Strategist | Digital Transformation Leader
Gleb Mikulich is a seasoned professional with over a decade of expertise in supply chain, procurement, logistics, and digital transformation. He has collaborated with globally recognized organizations, including Accenture, Procter & Gamble (P&G), Pfizer, CNH Industrial, and Mediterranean Shipping Company, delivering impactful solutions across diverse industries.
- Industry-leading experience in Global Supply Chain Operations Gleb has collaborated with top-tier industry leaders such as Accenture, Procter & Gamble, Pfizer, CNH, and Mediterranean Shipping Company, delivering measurable results in supply chain integration, procurement modernization, and performance optimization.
- Certified Supply Chain & Project Management Expert Gleb holds industry-recognized credentials, including: o SCPro Certified (Council of Supply Chain Management Professionals) o Additional certifications in Lean Six Sigma Green Belt, PMP, and PMI-ACP, showcasing his multidisciplinary expertise in process improvement, agile project leadership, and operational efficiency.
- Advanced Academic Credentials in Strategy & Digital Technologies Gleb earned an MBA from IE Business School, with a concentration in strategy, operations, and digital technologies, and pursued advanced supply chain management training through MITx, equipping him with cutting-edge insights into global logistics, data-driven decision-making, and tech-enabled supply chains.
- Recognized Leader & Emerging Talent in the Field Gleb is the recipient of the Young Professionals Emerging Leader Award from the Council of Supply Chain Management Professionals (CSCMP), and a lifetime member of Beta Gamma Sigma, a recognition of academic excellence and leadership in business education.
Dr. Jason Matyus – Advisory Board Executive Director, Training, Course Development, and Examination
Dr. Matyus is the Advisory Board Director for Course Development, Training, and Examination. Dr. Jason Matyus’s career spans many disciplines. Dr. Matyus started as a public school teacher. After leaving teaching he worked for 20 years as a business professional working for two Fortune 500 Companies. Within those 20 years, he had varying roles that touched Project Management, logistics and Supply Chain, Procurement, Corporate Trainer, and Leadership. After receiving his MBA in Leadership and Doctorate in Business Management, he spent the last 5 years in higher education. In addition to his work in business, he is also on the Board of Directors for Cornerstone Care and the Carmichaels Area School District Board of Education and currently serves on the Farmville Urban Development Board.
Séverine Boulard – AAPSCM® Executive Trainer
Séverine Boulard is an international HR consultant, trainer, and founder of HR Graff Consulting GmbH, Switzerland. With over 20 years of experience in global HR leadership roles across banking, finance, consulting, fintech, and high-growth international environments, she specializes in HR transformation, compliance, talent strategy, leadership development, and organizational effectiveness. She has led HR functions across multiple jurisdictions and is recognised for combining strategic expertise with practical, business-focused execution. Séverine delivers engaging training programs designed to translate complex HR topics into real-world leadership capability. She holds a European Master’s Degree in Human Resources Management and completed executive studies in HR Transformation through Cornell University. She trains in English, French, German, and Russian.
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Training fee: $1,200 per participant • 4-day virtual instructor-led program