About the Course
Modern inventory management requires a transition from reactive stock-keeping to proactive demand orchestration. Organizations today face the dual pressure of reducing working capital while meeting rising customer expectations for immediate availability. This course addresses these challenges by providing a structured system for inventory analytics that moves from data preparation to advanced predictive modeling. You will learn to demonstrate five core domain capabilities: cleaning and structuring multi-source supply chain data, segmenting inventory based on value and volatility, applying time-series forecasting models, calculating mathematically sound safety stock levels, and designing automated replenishment systems. We utilize internationally recognized standards such as the SCOR Model and ISO 8000 for data quality to ensure your analytical outputs meet global professional benchmarks.
The curriculum is designed to turn scattered operational knowledge into a cohesive analytical framework. You will be introduced to the conceptual foundations of probability distributions and lead-time variability before moving into hands-on practice with tools like Power BI for visualization and statistical functions for trend analysis. Specifically, you will learn to calculate Mean Absolute Percentage Error (MAPE) to validate forecast accuracy, build Economic Order Quantity (EOQ) models that balance ordering and carrying costs, and implement Reorder Point (ROP) logic that accounts for supply chain disruptions. This course is built for practitioners who must deliver results under real-world constraints such as budget limitations, data silos, and fluctuating supplier reliability. You will gain the skills to present data-backed business cases to leadership, justifying inventory investments through metrics like Gross Margin Return on Investment (GMROI) and Inventory Turnover Ratio.
Target Audience
This course is essential for professionals who manage the flow of goods and need to apply quantitative methods to improve operational efficiency.
This course is designed for:
- Supply Chain Data Analysts responsible for demand modeling
- Inventory Control Managers overseeing multi-site stock levels
- Demand Planners developing monthly and quarterly forecasts
- Procurement Specialists optimizing supplier order quantities
- Warehouse Operations Managers reducing dead stock and obsolescence
- Logistics Coordinators managing lead-time variability and replenishment
- Retail Category Managers balancing product availability and margins
- Production Planners aligning raw material inventory with schedules
- ERP Systems Analysts configuring inventory optimization modules
- Financial Controllers monitoring working capital tied in inventory
Course Objectives
This course equips you to design, execute, and measure inventory initiatives that optimize stock availability, ensure regulatory compliance, and drive strategic cost reduction.
By the end of this course, you'll be able to:
- Analyze historical sales data using ABC/XYZ segmentation to prioritize high-value inventory
- Apply Holt-Winters exponential smoothing to generate seasonal demand forecasts
- Calculate Economic Order Quantity (EOQ) to minimize total annual inventory costs
- Build safety stock models that account for demand and lead-time variability
- Evaluate forecast accuracy using Mean Absolute Percentage Error (MAPE) and MAD metrics
- Navigate supply chain disruptions by designing dynamic reorder point (ROP) systems
- Implement automated inventory dashboards using modern data visualization tools
- Synthesize analytical findings into a comprehensive inventory optimization roadmap
Requirements & Prerequisites
Participants should have a foundational understanding of supply chain operations and basic proficiency in Microsoft Excel (specifically formulas and data sorting). Familiarity with ERP systems or basic statistical concepts is beneficial but not mandatory.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn demand forecasting aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on calculation of safety stock using real-world demand variability datasets
- Scenario simulation requiring replenishment decisions under fluctuating supplier lead times
- Inventory audit exercise using an ABC/XYZ classification framework and checklist
- Stakeholder reporting workshop focused on presenting forecast accuracy to leadership
- Case study analysis from the manufacturing, retail, and pharmaceutical sectors
- Group workshop producing a dynamic inventory dashboard in a digital environment
- Reflection exercise benchmarking current inventory turnover against global industry standards
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data Analytics for Inventory Management and Demand Forecasting Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance and Practical Application
- Master critical inventory analytics techniques applied in top global firms.
- Transform data into actionable insights for precise demand forecasting.
- Learn through real-world case studies from leading retail and manufacturing sectors.
Expert Delivery and Industry Insights
- Taught by seasoned data scientists with over 20 years in supply chain management.
- Gain exclusive industry insights that bridge theory with cutting-edge practice.
- Interactive sessions ensure personalized feedback to refine your analytical skills.
Career Advancement and Professional Recognition
- Equip yourself with in-demand skills that boost your career trajectory.
- Receive a certification recognized by industry leaders worldwide.
- Access to a professional network of peers and industry experts post-course.
Tools and platforms relevant to this field
Examples Denmark teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Microsoft Power BI MicrosoftUsed to build inventory KPI dashboards, monitor stock turns, and visualize forecast accuracy across products and locations.
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Microsoft Excel MicrosoftUsed for ABC classification, EOQ calculations, demand seasonality checks, and quick scenario analysis when source data is still being cleaned or reconciled.
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SAP S/4HANA SAPUsed to connect sales, purchasing, and stock data so planners can run replenishment, monitor lead times, and align forecast outputs with procurement workflows.
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Oracle NetSuite OracleUsed by inventory and operations teams to consolidate order history, stock balances, and procurement data for forecasting and replenishment planning.
