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The Science Behind Demand Forecasting A Layman's Perspective by Bentley Finn at Abbey's Bookshop,
The Science Behind Demand Forecasting A Layman's Perspective
— —
Bentley Finn

The Science Behind Demand Forecasting A Layman's Perspective

Bentley Finn

$56.95   $48.78

Paperback

Not in-store but you can order this
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English
Sunshine
01 December 2023
Mechanical engineering; Machine learning
What is Demand Forecasting?

Demand forecasting is a critical aspect of operations and supply chain management that helps businesses predict the future demand for their products or services. It involves using historical data, statistical models, and market research to estimate the quantity of goods or services that customers will require in the future. By accurately forecasting demand, companies can make informed decisions regarding production, inventory management, and resource allocation.

In the fast-paced and ever-changing business environment we live in today, demand forecasting has become an essential tool for businesses of all sizes. It allows companies to streamline their operations, optimize their supply chains, and ultimately increase their profitability. By understanding customer demand patterns, businesses can improve their efficiency, reduce costs, and enhance customer satisfaction.

Demand forecasting can be done at various levels, ranging from short-term to long-term forecasts. Short-term forecasts typically cover a period of up to three months and are crucial for day-to-day operational planning, such as inventory management and production scheduling. On the other hand, long-term forecasts span over a year or more and are used for strategic decision-making, such as capacity planning and market expansion.

There are several methods and techniques used in demand forecasting, including qualitative and quantitative approaches. Qualitative methods rely on expert opinions, market surveys, and consumer feedback to predict demand. These methods are useful when historical data is scarce or when introducing new products into the market. Quantitative methods, on the other hand, utilize mathematical and statistical models to analyze historical data and project future demand. These models include time series analysis, regression analysis, and machine learning algorithms.

While demand forecasting is not an exact science, it provides valuable insights that help businesses make informed decisions. It enables companies to align their production capacity with customer demand, avoid stockouts or excess inventory, and plan their resources effectively. By accurately forecasting demand, businesses can improve their operational efficiency, reduce costs, and gain a competitive edge in the market.
By:  
Imprint:   Sunshine
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 6mm
Weight:   159g
ISBN:   9798869045171
Pages:   112
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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