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TRL4861 Assignment 2 2025 (Answer Guide) - DUE September 2025

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TRL4861 Assignment 2 2025 (Answer Guide) - DUE September 2025 VERIFIED AND CERTIFIED ANSWERS. WRITTEN IN REQUIRED FORMAT AND WITHIN GIVEN GUIDELINES. IT IS GOOD TO USE AS A GUIDE AND FOR REFERENCE, NEVER PLAGARIZE. Thank you and success in your academics. UNISA, 2025 Contents Demand Forecasting and Quantitative Forecasting for a Road Freight Business in KwaZulu-Natal 2 Introduction 2 Demand Forecasting Methods 2 1. Expert Opinion / Delphi Method 2 2. Market Research and Surveys 3 3. Sales Force Composite Method 3 4. Consumer (End-User) Expectations 3 5. Scenario Building / Historical Analogy 3 Quantitative Forecasting Methods 4 1. Time Series Analysis (Trend Projection) 4 2. Moving Averages 5 3. Exponential Smoothing 5 4. Regression Analysis (Causal Method) 5 5. Econometric Modelling / Decomposition of Time Series 5 Differences Between Demand Forecasting and Quantitative Forecasting 6 Relationship Between Demand Forecasting and Quantitative Forecasting 6 Most Suitable Forecasting Methods for a Road Freight Business 7 Conclusion 8 References 8   Demand Forecasting and Quantitative Forecasting for a Road Freight Business in KwaZulu-Natal Introduction Forecasting demand is a critical step in the establishment of a successful road freight business, particularly in rural regions such as KwaZulu-Natal (KZN). The province is undergoing significant infrastructure development, and rural communities require steady access to building materials for housing, schools, and roads. Road freight plays an essential role in bridging the gap between suppliers in urban centres and customers in remote areas. Effective forecasting provides managers with insights into future demand levels, enabling accurate planning of vehicle capacity, scheduling, and resource allocation (Chopra and Meindl, 2023). Since both market uncertainties and limited historical data are common in rural markets, applying multiple forecasting techniques enhances accuracy and reduces risk (Hyndman and Athanasopoulos, 2021). This discussion applies five demand forecasting methods and five quantitative forecasting methods to predict the demand for building materials in KZN for 2025 and 2026. It further examines the differences and relationships between these approaches and identifies the most suitable methods for a road freight business. Demand Forecasting Methods Demand forecasting methods are primarily qualitative, relying on judgment, experience, and insights rather than purely numerical data. These methods are particularly useful in emerging or uncertain markets, such as rural

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TRL4861 Assignment
2 2025 (Answer
Guide) - DUE
September 2025

QUESTIONS WITH 100%
VERIFIED AND
CERTIFIED ANSWERS.






, 1|Page


TRL4861 Assignment 2 2025 (Answer Guide) - DUE September 2025
VERIFIED AND CERTIFIED ANSWERS. WRITTEN IN REQUIRED FORMAT AND WITHIN
GIVEN GUIDELINES. IT IS GOOD TO USE AS A GUIDE AND FOR REFERENCE, NEVER
PLAGARIZE. Thank you and success in your academics.
UNISA, 2025



Contents
Demand Forecasting and Quantitative Forecasting for a Road Freight Business in
KwaZulu-Natal ........................................................................................................................................... 2
Introduction ........................................................................................................................................... 2
Demand Forecasting Methods.......................................................................................................... 2
1. Expert Opinion / Delphi Method ............................................................................................... 2
2. Market Research and Surveys ................................................................................................. 3
3. Sales Force Composite Method ............................................................................................... 3
4. Consumer (End-User) Expectations ....................................................................................... 3
5. Scenario Building / Historical Analogy .................................................................................. 3
Quantitative Forecasting Methods .................................................................................................. 4
1. Time Series Analysis (Trend Projection) ............................................................................... 4
2. Moving Averages ......................................................................................................................... 5
3. Exponential Smoothing.............................................................................................................. 5
4. Regression Analysis (Causal Method) ................................................................................... 5
5. Econometric Modelling / Decomposition of Time Series .................................................. 5
Differences Between Demand Forecasting and Quantitative Forecasting ........................... 6
Relationship Between Demand Forecasting and Quantitative Forecasting ........................ 6
Most Suitable Forecasting Methods for a Road Freight Business ......................................... 7
Conclusion ............................................................................................................................................. 8
References ............................................................................................................................................. 8

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