Inventory Management- Job Training Course

Learn how inventory management balances demand and cost across planning, procurement, storage, tracking, and utilization to ensure the right items are available in the right quantity when needed.

Meet customer demand, minimize cost, optimize resource utilization, enhance supply chain efficiency, and mitigate risk by enabling strategic decision making through inventory management.

Discover the main inventory types—raw materials, work in progress, finished goods, MRO, safety stock, seasonal, and pipeline—along with their key characteristics and practical production examples.

Identify essential inventory management terms, including SKU, lead time, reorder point, EOQ, safety stock, just in time, ABC analysis, cycle counts, carrying cost, and stock accuracy.

Discover the day-to-day duties of an inventory officer, including stock monitoring, discrepancy reconciliation, demand forecasting, and inventory optimization using ABC analysis and FIFO.

Master inventory planning and forecasting to determine the right quantity at the right time and the right location, decide when and how much to order, and minimize cost.

Accurate forecasting helps meet customer demand by ensuring the right inventory when needed. It supports optimal inventory levels, efficient production planning, and informed decision making across the supply chain.

Explore factors that influence demand in inventory management, including economic conditions, seasonality, consumer trends, competition, promotions, customer feedback, and technological advances to improve forecasting and inventory planning.

Explore qualitative forecasting techniques and market research to predict future demand, and apply expert opinion and surveys to optimize inventory and production.

Explore time series forecasting techniques, including moving averages to smooth demand fluctuations and trend analysis to project future inventory needs for effective demand forecasting.

Explore how market research and surveys inform demand forecasting to optimize production, procurement, and the supply chain, using data analysis and techniques like regression and time series.

Master seasonal demand forecasting by analyzing historical sales data with time series methods and seasonal indices to predict fluctuations and collaborate with stakeholders to guide inventory, production, and marketing decisions.

Leverage demand planning software to forecast demand using advanced algorithms and historical data, automate data collection, visualize demand, and optimize inventory with scenario planning and cross-team collaboration.

Master inventory management techniques through simple calculations and real life examples that emphasize practical applications. Balance theory and practice to understand the core concept of inventory management.

Compute the economic order quantity using the eoq formula sqrt(2ds/h) to balance annual demand, ordering costs, and holding costs and minimize total costs.

Apply EOQ to balance ordering and holding costs in a bakery, determining the optimal order quantity of 100 bags of chocolate chips to minimize total cost.

Boost inventory resilience by maintaining safety stock as a buffer against demand and lead time uncertainties, protecting against stockouts while satisfying orders and preserving customer service.

Calculate the reorder point as average daily demand times lead time plus safety stock. Signal when to order and balance stockouts with holding costs and service levels.

Just-in-time inventory management minimizes excess inventory and storage costs by delivering materials exactly when needed, while lean principles, demand forecasting, and supplier collaboration boost efficiency and cash flow.

Drive efficiency with a demand-driven just-in-time system that forecasts accurately, synchronizes production, and delivers materials when needed, enabling continuous improvement, supplier collaboration, and reduced stockouts and waste.

Boost efficiency and cut costs through just-in-time inventory management, reducing warehousing, carrying costs, obsolescence, and waste, freeing working capital and shortening lead times to prevent stockouts and improve delivery reliability.

Master ABC analysis in inventory management by classifying items into A, B, and C to prioritize high-value, high-demand stock, optimize replenishment, and improve profitability.

Explore vendor managed inventory, where the vendor monitors inventory levels, forecasts demand, and initiates replenishment. Tighten collaboration between the vendor and the customer, improving supply chain efficiency and reducing costs.

Share real-time inventory data with the vendor to enable accurate stock monitoring, demand forecasting, and proactive replenishment under vendor-managed inventory.

Vendor management inventory (vmi) uses real-time data sharing, demand forecasting, and continuous monitoring to enable proactive replenishment and adjustments, reducing stockouts and excess inventory while boosting supply chain efficiency.

Learn to optimize inventory by applying the inventory turnover ratio—cost of goods sold divided by average inventory—to measure how quickly you sell and replace stock while reducing holding costs.

Drive lead time optimization in inventory management to reduce order-to-delivery time through streamlined processing, demand forecasting, just-in-time inventory, and efficient logistics.

Explore inventory holding costs and how storage, capital cost, obsolescence, insurance, and handling expenses affect profitability, then apply optimization strategies like demand forecasting, ABC analysis, JIT, and supplier collaboration.

Maintain precise inventory records to reflect actual stock levels, locations, and status, enabling effective management, demand planning, and improved customer satisfaction.

Cycle counting periodically verifies inventory accuracy by counting a subset of items, identifying discrepancies, and enabling continuous improvement to reduce full physical counts and costs.

Learn cycle counting techniques and best practices, including ABC classification, random sampling, regular scheduling, full counts, and barcode or RFID data integration to boost inventory accuracy.

Learn how inventory reconciliation detects discrepancies between physical counts and recorded quantities, and use variance analysis to uncover root causes and implement corrective actions with continuous monitoring.

Inventory management software tracks stock in real time, automates orders, sets reorder points, forecasts demand, integrates with barcode and RFID systems, provides analytics to reduce costs and improve inventory control.

Explore barcoding and RFID to track inventory accurately. Scan barcodes to update the inventory management system in real time and improve stock control, movements, replenishment, and order fulfillment.

Learn how RFID uses radio frequency signals to identify and track inventory with tags, readers, and an inventory management system, enabling bulk scanning and real-time visibility without line-of-sight.

Use a warehouse management system to gain real time visibility of inventory and optimize stock levels. It automates order fulfillment, supports barcode or RFID tracking, layouts, and reporting.

Point of sale systems streamline sales and inventory management with real-time inventory updates. They include barcode scanning, product lookup, pricing, discounts, reporting, and customer relationship management.

Apply the FIFO method to inventory costing by selling oldest items first, calculating cost of goods sold with older prices and valuing ending inventory with newer costs.

Explain how the last-in, first-out method assigns the most recently acquired inventory to cost of goods sold and older costs to ending inventory, illustrated with smartphones and a practical example.