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Logistics Inventory Course
More than 2 million students worldwide

Logistics Inventory Course

Master every layer of inventory management — from demand forecasting and replenishment models to warehouse control and strategic optimization. This course gives logistics and supply chain professionals the analytical tools and practical frameworks to cut costs, prevent stockouts, and improve service levels. If you manage stock for a living, this is the skill upgrade your career needs.

Dedika for businesses

What you will learn:

You will learn how to classify and cost inventory, build accurate demand forecasts, and apply replenishment models including EOQ, reorder point, and periodic review systems. The course covers ABC-XYZ analysis, safety stock calculation, and cycle count program design. You will also explore warehouse management systems, ERP integration, and emerging technologies like RFID and AI-driven replenishment. Supplier relationship management, reverse logistics, and regulatory traceability requirements are included. By the end, you will be equipped to design and lead inventory optimization initiatives that directly improve working capital and customer service performance.

How you study in practice Logistics Inventory Course

How you practice Logistics Inventory Course

For companies that want to train their team

With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Inventory Management

  • Lesson 1 • Types and Classifications of Inventory

    Categorizes inventory by function and stage in the production cycle. Enables accurate classification decisions in real warehouse and retail contexts.

  • Lesson 2 • What Inventory Management Means

    Defines inventory management and its strategic importance to profitability and service levels. Establishes shared vocabulary used throughout the course.

  • Lesson 3 • Key Stakeholders and Roles

    Maps the people and departments responsible for inventory decisions. Clarifies accountability structures common in logistics organizations.

  • Lesson 4 • Core Inventory Management Objectives

    Explains the balance between holding costs, stockouts, and service targets. Connects objectives to measurable business outcomes.

  • Lesson 5 • Inventory Management in the Supply Chain

    Positions inventory management within the broader supply chain flow from supplier to customer. Shows how upstream and downstream decisions affect stock levels.

Chapter 2See details

Inventory Costing and Financial Impact

  • Lesson 1 • Inventory Valuation Methods

    Compares FIFO, LIFO, and weighted-average costing approaches and their effect on reported profit. Enables selection of the appropriate method for different business contexts.

  • Lesson 2 • Cost of Stockouts and Excess Inventory

    Quantifies the financial and operational damage caused by both shortages and overstock. Motivates the precision required in demand and replenishment planning.

  • Lesson 3 • Components of Inventory Holding Cost

    Breaks down all costs associated with storing inventory, including capital, space, and risk. Provides a framework for calculating total holding cost percentage.

  • Lesson 4 • Inventory Turnover and Financial Ratios

    Teaches calculation and interpretation of inventory turnover, days on hand, and related ratios. Links these metrics to working capital efficiency and profitability.

  • Lesson 5 • Ordering and Setup Costs

    Identifies costs triggered each time an order is placed or a production run is set up. Connects ordering frequency decisions to total cost optimization.

Chapter 3See details

Demand Forecasting for Inventory Planning

  • Lesson 1 • Collaborative Forecasting Practices

    Introduces sales and operations planning and collaborative planning with suppliers and customers. Shows how shared data reduces forecast error across the supply chain.

  • Lesson 2 • Causal and Regression-Based Forecasting

    Uses external variables such as price, promotions, and economic indicators to improve forecast accuracy. Introduces simple linear regression applied to demand data.

  • Lesson 3 • Time-Series Forecasting Methods

    Covers moving averages, exponential smoothing, and trend-adjusted models using historical data. Students practice building and comparing these models on sample datasets.

  • Lesson 4 • Fundamentals of Demand Forecasting

    Introduces demand patterns, forecast horizons, and the role of forecasting in inventory planning. Establishes why forecast accuracy directly drives stock level decisions.

  • Lesson 5 • Measuring and Improving Forecast Accuracy

    Defines MAE, MAPE, RMSE, and bias metrics and explains how to use them to refine models. Connects accuracy improvement directly to safety stock reduction.

Chapter 4See details

Inventory Classification and Prioritization

  • Lesson 1 • Combined ABC-XYZ Matrix

    Merges value and variability dimensions into a nine-cell matrix for nuanced item management. Produces specific replenishment and review strategies for each matrix cell.

  • Lesson 2 • XYZ Analysis for Demand Variability

    Classifies items by demand variability using coefficient of variation to complement ABC analysis. Enables more precise safety stock and replenishment policy decisions.

  • Lesson 3 • Slow-Moving and Obsolete Inventory Management

    Identifies SLOB inventory using turnover thresholds and aging reports. Applies disposal, return, and remarketing strategies to recover value and free capital.

  • Lesson 4 • Criticality and Risk-Based Classification

    Adds a criticality dimension to account for items whose stockout causes disproportionate operational harm. Integrates risk scoring into classification to protect essential operations.

  • Lesson 5 • ABC Analysis Principles and Application

    Ranks inventory items by annual consumption value to identify the vital few from the trivial many. Guides differentiated control policies based on classification results.

Chapter 5See details

Inventory Replenishment Models and Policies

  • Lesson 1 • Reorder Point and Safety Stock Calculation

    Calculates the reorder point using lead time demand and safety stock buffers. Links safety stock levels to desired service levels and demand variability.

  • Lesson 2 • Economic Order Quantity Model

    Derives and applies the EOQ formula to minimize combined ordering and holding costs. Demonstrates sensitivity analysis to test model robustness under changing inputs.

  • Lesson 3 • Periodic Review Replenishment Systems

    Explains fixed-interval ordering systems and how to calculate the order-up-to level. Compares periodic review to continuous review in terms of cost and control.

  • Lesson 4 • Just-in-Time and Lean Replenishment

    Applies lean principles to reduce inventory buffers through pull-based replenishment. Introduces kanban systems and their role in waste elimination.

  • Lesson 5 • Multi-Echelon Inventory Policies

    Extends replenishment logic to networks with multiple stocking locations and distribution tiers. Introduces centralization vs. decentralization trade-offs in stock positioning.

Chapter 6See details

Warehouse Operations and Inventory Control

  • Lesson 1 • Receiving, Putaway, and Storage Processes

    Details the steps from goods receipt through putaway to ensure accurate stock records from the start. Connects receiving accuracy to downstream inventory reliability.

  • Lesson 2 • Cycle Count Program Design

    Builds a structured cycle count program aligned with ABC classification and operational schedules. Ensures continuous accuracy without shutting down warehouse operations.

  • Lesson 3 • Inventory Counting Methods

    Compares annual physical counts, cycle counting, and perpetual inventory approaches. Guides selection of the most cost-effective counting method for each environment.

  • Lesson 4 • Inventory Accuracy Metrics and Root Cause Analysis

    Measures inventory record accuracy and location accuracy to identify systemic error sources. Applies root cause analysis to eliminate recurring discrepancies.

  • Lesson 5 • Shrinkage, Damage, and Loss Prevention

    Identifies causes of inventory shrinkage including theft, damage, and administrative error. Implements controls and monitoring to reduce shrinkage to acceptable levels.

Chapter 7See details

Inventory Technology and Information Systems

  • Lesson 1 • Warehouse Management Systems

    Covers core WMS functions including receiving, putaway, picking, and inventory tracking. Guides configuration decisions that align system behavior with operational policies.

  • Lesson 2 • Barcode and RFID Data Capture

    Explains barcode symbologies and RFID technology for real-time inventory identification and tracking. Compares cost, accuracy, and use-case fit of each technology.

  • Lesson 3 • Inventory Analytics and Dashboards

    Builds inventory performance dashboards using key metrics and visual reporting tools. Enables data-driven decisions by translating raw data into actionable insights.

  • Lesson 4 • Emerging Technologies in Inventory Management

    Surveys IoT sensors, autonomous mobile robots, and AI-driven replenishment tools reshaping inventory operations. Assesses readiness and adoption pathways for each technology.

  • Lesson 5 • Enterprise Resource Planning for Inventory

    Explains how ERP systems centralize inventory data across procurement, production, and finance. Demonstrates how ERP master data quality drives inventory planning accuracy.

Chapter 8See details

Strategic Inventory Optimization

  • Lesson 1 • Service Level Strategy and Trade-Off Analysis

    Defines target service levels by customer segment and product category to guide safety stock investment. Quantifies the cost of each incremental service level improvement.

  • Lesson 2 • Total Cost of Ownership in Inventory Decisions

    Extends cost analysis beyond purchase price to include all lifecycle costs of holding and managing stock. Enables sourcing and stocking decisions that minimize total cost rather than unit price.

  • Lesson 3 • Inventory Reduction and Working Capital Improvement

    Identifies systematic levers to reduce excess inventory and free working capital without harming service. Builds a structured inventory reduction project plan.

  • Lesson 4 • Network Inventory Optimization

    Optimizes stock positioning across a distribution network to minimize total cost while meeting service targets. Applies risk pooling and postponement strategies to reduce overall inventory investment.

  • Lesson 5 • Continuous Improvement in Inventory Management

    Embeds a continuous improvement culture using performance reviews, benchmarking, and structured problem-solving. Sustains inventory gains through governance and accountability mechanisms.

Certification

Your valid completion certificate

This course is for you:

  • Logistics coordinator: ready to move beyond day-to-day task execution.

  • Warehouse supervisor: wants data-driven control over stock accuracy and counts.

  • Procurement specialist: needs stronger inventory cost and replenishment knowledge.

  • Supply chain analyst: looking to formalize forecasting and classification skills.

  • Operations manager: responsible for working capital but lacking inventory depth.

  • Career changer: entering logistics from finance, retail, or manufacturing backgrounds.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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