CDPP Cheat Sheet 2026

The 29 highest-yield CDPP facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. What does forecast bias indicate in demand planning? → A systematic tendency for forecasts to be consistently too high or too low
2. What is a typical 'best-in-class' MAPE benchmark for fast-moving consumer goods (FMCG) demand planning? → Less than 20%
3. How should new product demand be forecasted without historical data? → Using analogous products, market research, expert opinion, and test market data
4. What is the primary purpose of a baseline forecast in promotional demand planning? → To represent underlying demand without any promotional effects
5. What is the Mean Absolute Percentage Error (MAPE)? → A forecast accuracy metric calculated as the average of absolute percentage errors
6. What does 'collaborative demand planning maturity' typically progress through? → From ad hoc data sharing to structured CPFR with joint KPIs and continuous improvement
7. What is the role of demand sensing in modern demand planning? → Using real-time signals like POS data and social media to detect short-term demand changes
8. What is the bullwhip effect in supply chain management? → The amplification of demand variability as you move upstream in the supply chain
9. What is the 'bullwhip effect' in supply chain management? → Demand volatility that increases as it moves upstream in the supply chain
10. What is 'demand sensing' in the context of collaborative demand planning? → Using short-horizon real-time data signals to refine near-term forecasts
11. What does the acronym CPFR stand for in demand planning? → Collaborative Planning, Forecasting, and Replenishment
12. Which metric is most commonly used to evaluate the accuracy of a promotional demand forecast? → Mean Absolute Percentage Error (MAPE)
13. Which data element is most important to share with a supplier under a VMI arrangement? → On-hand inventory levels and current sales velocity
14. Which demand planning metric best captures the cost impact of forecast errors? → Inventory days of supply (DOS) variance
15. Which of the following best describes 'promotional lift'? → The incremental demand generated above the baseline due to a promotion
16. In demand planning, 'cannibalization' during a promotion refers to: → Sales of a promoted item that replace sales of a non-promoted item in the same portfolio
17. What is collaborative forecasting (CPFR)? → A process where trading partners share data and jointly develop demand forecasts
18. Which promotion type typically generates the highest demand lift percentage? → A combination of temporary price reduction, feature advertising, and in-store display
19. Which role is most critical for sustaining a successful long-term CPFR relationship? → Executive sponsor from both the supplier and retailer organizations
20. Which CPFR step involves both the retailer and supplier jointly reviewing exceptions to the forecast? → Analysis
21. Which practice most directly reduces the bullwhip effect? → Sharing downstream POS or sell-out data with upstream partners
22. What is consensus forecasting? → A process where multiple stakeholders collaborate to create a single agreed-upon forecast
23. What ethical standards guide CDPP professionals in their work? → Integrity, objectivity, confidentiality, and professional competence in all engagements
24. What is exponential smoothing? → A forecasting method that applies exponentially decreasing weights to older observations
25. Which planning horizon is most appropriate for detailed promotional event forecasting? → 1 to 3 months
26. Which metric best measures the effectiveness of a collaborative forecasting partnership? → Reduction in forecast error compared to baseline unilateral forecasts
27. What is a key limitation of MAPE as a forecast accuracy metric? → It becomes undefined or skewed when actual demand is zero or very low
28. Which of the following is a key enabler of effective CPFR implementation? → EDI or API-based data exchange between trading partners
29. What is a 'post-event analysis' (PEA) in the context of promotional planning? → A retrospective review comparing actual promotional performance against the forecast