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TRL4861 Assignment 2 (COMPLETE ANSWERS) 2025 - DUE September 2025 • Course • Advanced Transport Management (TRL4861)

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TRL4861 Assignment 2 (COMPLETE ANSWERS) 2025 - DUE September 2025 • Course • Advanced Transport Management (TRL4861)










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September 10, 2025
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2025/2026
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TRL4861 Assignment 2
(COMPLETE ANSWERS)
2025 - DUE September
2025
NO PLAGIARISM




[Year]

, Exam (elaborations)
TRL4861 Assignment 2 (COMPLETE
ANSWERS) 2025 - DUE September 2025
Course

 Advanced Transport Management (TRL4861)
 Institution
 University Of South Africa (Unisa)
 Book
 Transportation Management

TRL4861 Assignment 2 (COMPLETE ANSWERS) 2025 - DUE September 2025;
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You are planning to establish a road freight business specialising in
transporting building materials to rural areas of KwaZulu-Natal (KZN). To
forecast demand for building materials in these regions for the years 2025
and 2026, apply five demand forecasting methods and five quantitative
forecasting methods. In your discussion: 1. Explain the fundamental
differences between demand forecasting methods and quantitative
forecasting methods. 2. Analyse the relationship between these two
approaches. 3. Identify the most suitable forecasting methods for a road
freight business and justify your selection.

Fundamental Differences Between Demand and Quantitative Forecasting

Demand forecasting and quantitative forecasting are two distinct but related approaches to
predicting future outcomes. Demand forecasting focuses on predicting the future demand for a
company's products or services. It considers a wide range of factors, including market trends,
economic conditions, customer behavior, and competitor actions. The goal is to determine how
much of a particular product or service will be needed by customers at a specific time.

Quantitative forecasting, on the other hand, is a specific category of forecasting that uses
mathematical and statistical models to analyze historical data and extrapolate future trends. It is a
more technical approach that relies on numerical data, assuming that past patterns will continue
into the future. Quantitative methods are often used as part of a broader demand forecasting
process.

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