
CSCP Math A–Z: Forecasting, Inventory & Logistics
Are you preparing for the APICS CSCP exam or working in supply chain management — but struggling with the math behind forecasting, inventory, logistics, procurement, and financial performance? You’re not alone. These calculations are among the most challenging and most heavily tested areas of the CSCP body of knowledge. This course turns them into your strongest advantage.
CSCP Math A–Z: Forecasting, Inventory and Logistics is a complete, action-focused program that teaches you every major supply chain formula through clear explanations and real exam-level problems. Instead of memorizing equations, you will learn how to think, analyze, and solve calculations the way professional planners, analysts, managers, and CSCP exam writers expect.
This course contains 5 major sections, 75 fully solved math problems, and step-by-step guidance across the entire supply chain quantitative spectrum. You will learn and practice formulas used in forecasting, inventory planning, logistics operations, procurement, financial decision-making, and global supply chain management.
What’s Included in This Course
75 Realistic Math Problems (Fully Solved Step-By-Step)
• 15 Forecasting & Demand Planning Problems
• 15 Inventory & Operations Problems
• 15 Logistics & Distribution Problems
• 15 Procurement & Sourcing Problems
• 15 Global Supply Chain Finance Problems
5 Full Course Sections
Forecasting & Demand Math
Inventory & Operations Math
Logistics & Distribution Math
Procurement & Sourcing Math
Global Supply Chain & Financial Performance Math
Topics Covered (Complete Breakdown)
Forecasting: MAD, MAPE, Bias, Tracking Signal, Moving Averages, Weighted Averages, Exponential Smoothing, Regression/Trend, Seasonality, Deseasonalization, Combined Forecasts
Inventory: EOQ, Total Cost, Safety Stock, Reorder Point, Inventory Turns, Cycle Stock, Capacity, Efficiency, Yield, Scrap, Production Lot Sizing
Logistics: Transportation Cost, Break-Even Shipping, Warehouse Throughput, Space Utilization, Fleet Efficiency, Lead Time, Order Cycle Time, Total Landed Cost
Procurement: PPV, Quantity Discounts, Total Cost of Ownership, Make-or-Buy, Supplier Scoring, Defect Rates, Spend Analysis, Capacity Utilization, Delivery Performance
Global Financials: Cash-to-Cash Cycle, DSO, DPO, DIO, ROA, Gross Margin, Exchange Rates, Hedging, Depreciation, Cost of Capital, Profitability Index
What You Will Learn
By the end of this course, you will be able to:
• Solve CSCP-level math problems with confidence using the correct formulas
• Analyze forecasting accuracy and demand patterns with professional skill
• Optimize inventory using EOQ, ROP, safety stock, and operational metrics
• Evaluate logistics costs, warehouse performance, and distribution efficiency
• Perform procurement cost comparisons and TCO analysis
• Measure global supply chain financial performance and working capital metrics
• Interpret results the same way CSCP exam graders and hiring managers expect
• Make smarter, data-driven supply chain decisions in real-life situations
Who This Course Is For
• CSCP candidates preparing for the quantitative portion of the exam
• Supply chain analysts, planners, buyers, logistics coordinators, and managers
• Students or professionals who want to master supply chain math
• Anyone who wants to strengthen forecasting, inventory, logistics, or procurement skills
Why This Course Works
Unlike typical theory-only training, this course is built on real problem solving, practical reasoning, and clear step-by-step explanation. You will build confidence through repetition, structured logic, and realistic business scenarios modeled after the actual CSCP exam.
If you want to pass the CSCP exam, grow your supply chain career, or become the person who understands the numbers behind strategic decisions — this course is built for you.
If you’d like extra learning materials related to supply chain or CSCP preparation, please check my instructor profile for available resources.
Start today and gain the quantitative skills that set top supply chain professionals apart.