In today’s increasingly volatile and interconnected business landscape, inventory management is no longer a back-office function—it is a strategic lever for competitive advantage. Organizations that fail to align their inventory practices with real-time demand patterns, supplier dynamics, and customer expectations risk higher costs, stockouts, and operational inefficiencies. Inventory Management in Supply Chain Operations, offered by Pideya Learning Academy, is an intensive, future-oriented training program designed to build the capabilities of supply chain professionals in managing inventory systems that are accurate, agile, and aligned with enterprise-wide objectives.
As global supply chains become more complex, the cost of inefficiency rises. A recent 2024 study by McKinsey & Company revealed that companies implementing advanced inventory optimization strategies experienced up to a 30% reduction in inventory holding costs and a 15% improvement in order fill rates. Meanwhile, the Association for Supply Chain Management (ASCM) reported that 90% of high-performing companies use integrated, technology-enabled inventory systems to proactively manage supply and demand variability. These insights emphasize the need for a strategic, metrics-driven approach to inventory management that supports long-term financial health and customer satisfaction.
This training course explores both foundational and advanced inventory techniques to help professionals elevate their operational effectiveness. It focuses on demand forecasting, inventory classification, replenishment planning, warehouse coordination, and the use of emerging technologies like AI, IoT, and cloud-based systems. By examining performance metrics such as Inventory Turnover Ratio, Days of Inventory Outstanding (DIO), and Fill Rate, participants will learn to assess inventory health and implement improvements that drive real value.
Participants will be guided through a structured curriculum that emphasizes integration across procurement, logistics, and production functions. The course also addresses the risks of overstocking, stockouts, and obsolescence by introducing frameworks for lean inventory, risk-based planning, and service-level optimization.
Key highlights of the training include:
Understanding and applying ABC/XYZ classification models to optimize inventory control based on product value and variability
Leveraging forecasting and demand planning tools to align inventory with consumption trends and reduce imbalance
Exploring inventory performance KPIs such as Fill Rate, DIO, and Inventory Turnover to support continuous improvement
Integrating cloud-based systems, RFID, and AI-driven analytics to enhance visibility and responsiveness
Analyzing cost trade-offs between inventory holding, ordering, and stockout risks to guide decision-making
Developing inventory contingency strategies that improve resilience in times of disruption
Enhancing coordination with suppliers and warehouse teams to ensure a synchronized flow of goods and information
Delivered by industry experts, the course is tailored for professionals looking to align their inventory practices with modern supply chain strategies and digital transformation goals. It fosters a systems-thinking approach to inventory planning, emphasizing not only cost control but also agility, customer satisfaction, and alignment with financial objectives.
By the end of this course, learners will be able to reduce working capital, boost customer service levels, and lead change within their organizations. With global supply chains becoming increasingly unpredictable, inventory professionals must be equipped with analytical capabilities, system integration skills, and strategic foresight. This training by Pideya Learning Academy delivers precisely that—empowering individuals to turn inventory management from a cost center into a source of value and differentiation.

Key Takeaways:

• Understanding and applying ABC/XYZ classification models to optimize inventory control based on product value and variability
• Leveraging forecasting and demand planning tools to align inventory with consumption trends and reduce imbalance
• Exploring inventory performance KPIs such as Fill Rate, DIO, and Inventory Turnover to support continuous improvement
• Integrating cloud-based systems, RFID, and AI-driven analytics to enhance visibility and responsiveness
• Analyzing cost trade-offs between inventory holding, ordering, and stockout risks to guide decision-making
• Developing inventory contingency strategies that improve resilience in times of disruption
• Enhancing coordination with suppliers and warehouse teams to ensure a synchronized flow of goods and information

• Understanding and applying ABC/XYZ classification models to optimize inventory control based on product value and variability
• Leveraging forecasting and demand planning tools to align inventory with consumption trends and reduce imbalance
• Exploring inventory performance KPIs such as Fill Rate, DIO, and Inventory Turnover to support continuous improvement
• Integrating cloud-based systems, RFID, and AI-driven analytics to enhance visibility and responsiveness
• Analyzing cost trade-offs between inventory holding, ordering, and stockout risks to guide decision-making
• Developing inventory contingency strategies that improve resilience in times of disruption
• Enhancing coordination with suppliers and warehouse teams to ensure a synchronized flow of goods and information