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Trade and Forecasting Glossary

Reference for frequently used terms in trade and forecasting

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Written by Cassie Crail
Updated over 2 weeks ago

Forecasting Fundamentals

  1. Demand Planning - The process of predicting future customer demand to optimize inventory and production.

  2. Statistical Forecast - Baseline demand prediction using historical data and mathematical models.

  3. Consensus Forecast - Final demand plan combining statistical models with business intelligence and market insights.

  4. Forecast Accuracy - Measure of how close predictions are to actual results, typically expressed as MAPE or bias.

  5. MAPE - Mean Absolute Percentage Error. Key metric measuring forecast accuracy.

  6. Forecast Bias - Tendency to consistently over-forecast (positive bias) or under-forecast (negative bias).

  7. Forecast Horizon - Time period being forecasted (short-term, medium-term, long-term).

  8. Rolling Forecast - Continuously updated forecast that extends the planning horizon as time progresses.

  9. Baseline Volume - Expected sales without promotional activity or unusual events.

  10. Incremental Volume - Additional sales generated by promotions, new distribution, or marketing activities.

Forecasting Models and Methods

  1. Time Series Analysis - Forecasting method using historical patterns, trends, and seasonality.

  2. Causal Models - Forecasting using relationships between demand and external factors (price, weather, promotions).

  3. Holt-Winters - Exponential smoothing method that captures trend and seasonality.

  4. ARIMA - AutoRegressive Integrated Moving Average model for time series forecasting.

  5. Machine Learning Models - AI-based forecasting using algorithms like random forest or neural networks.

  6. Ensemble Forecasting - Combining multiple forecasting methods to improve accuracy.

  7. Judgmental Override - Manual adjustment to statistical forecasts based on business knowledge.

Seasonality and Patterns

  1. Seasonality Index - Measure of how much demand varies by season compared to average.

  2. Peak Season - Period of highest demand for a product category.

  3. Seasonality Profile - Pattern showing how sales vary throughout the year.

  4. Base-Seasonal-Promotional Decomposition - Breaking down demand into underlying components.

  5. Holiday Lift - Sales increase during holiday periods.

  6. Weather Impact - How temperature, precipitation, etc. affect product demand.

Trade and Promotional Forecasting

  1. Trade Promotion - Temporary incentives offered to retailers to drive sales.

  2. Promotional Lift - Incremental sales generated by a specific promotion.

  3. Lift Curve - Graph showing sales impact over the duration of a promotion.

  4. Promo Types - Different promotional mechanics (TPR, BOGO, coupon, display, etc.).

  5. Feature Support - Advertisement in retailer's circular or flyer.

  6. Display Support - Special in-store placement during promotion.

  7. Price Elasticity - Sensitivity of demand to price changes, measured as % demand change / % price change.

  8. Cross-Price Elasticity - How price changes of one product affect demand for another.

Trade Planning and Execution

  1. Trade Calendar - Schedule of all planned promotional activities.

  2. Promo Planning - Process of determining optimal promotion timing, mechanics, and investment.

  3. Event Planning - Coordinating promotional activities across multiple retailers.

  4. Trade Rate - Percentage of sales sold on promotion vs. at regular price.

  5. Promoted Price Point - The discounted retail price during promotion.

  6. Promotion ROI - Return on investment for promotional spending.

  7. Incrementality - True additional sales generated by promotion (excluding baseline and cannibalization).

  8. Forward Buy - Retailers purchasing extra inventory to take advantage of trade deals.

  9. Trade Loading - Inflated shipments due to promotional timing that may not reflect true demand.

Advanced Forecasting Concepts

  1. New Product Forecasting - Predicting demand for products without sales history.

  2. Analog Method - Using similar existing products to forecast new product performance.

  3. Market Research Integration - Incorporating consumer research data into demand forecasts.

  4. External Data Integration - Using third-party data (weather, economic indicators) in forecasting.

  5. Demand Sensing - Short-term forecasting using real-time signals like POS data.

  6. Collaborative Planning - Joint forecasting process between manufacturer and retailer.

  7. CPFR - Collaborative Planning, Forecasting and Replenishment between trading partners.

Performance Measurement

  1. Forecast KPIs - Key performance indicators measuring forecasting effectiveness.

  2. Tracking Signal - Measure of forecast bias over time.

  3. Forecast Value Added (FVA) - Improvement in accuracy from forecast adjustments.

  4. Demand Plan Attainment - How well actual results match the demand plan.

  5. Service Level - Percentage of demand met from available inventory.

  6. Stockout Cost - Financial impact of not having product available when demanded.

  7. Excess Inventory Cost - Cost of carrying too much inventory due to over-forecasting.

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