Demand forecasting
Demand forecasting is a technique for predicting future consumer demand over a set period
of time based on previous data and other information. Demand forecasting provides
organisations with useful information about their potential in their current market and other
markets, allowing managers to make informed pricing, business growth plans, and market
potential decisions. Without demand forecasting, firms risk making bad product and market
decisions, which can have far-reaching negative consequences for inventory holding costs,
customer satisfaction, supply chain management, and profitability. Precise demand
forecasting is an important for a firm to enable it to produce the required quantities at the
right time and arrange well in advance for the different factors of production.
Some of the popular definitions of demand forecasting are as follows:
“Demand estimation (forecasting) may be defined as a process of finding values for
demand in future time periods”
Evan J. Douglas
“Demand forecasting is an estimate of sales during a specified future period based on
proposed marketing plan and a set of particular uncontrollable and competitive forces”
Cundiff and Still
There are some basic of demand forecasting. Let us discuss the basis components of
demand forecasting as under:
Level of forecasting
Demand forecasting can be done at three levels: company, industry, and economy. The future
demand for a particular organization's products and services is projected at the company
level. The cumulative demand for all organisations in a given industry's products and services
is projected at the industry level. On the other hand, at the macroeconomic level, the
economy's overall aggregate demand for goods and services is expected.
Time period involved
On the basis of the duration, demand is forecasted in the short run and long term,
which is explained as follows: Short-term forecasting: It involves anticipating
demand for a period not exceeding one year. It is focused on the short term decisions
(for example, arranging finance, formulating production policy, making promotional
strategies, etc.) of an organisation.
Long-term forecasting: It involves predicting demand for a period of 5-7 years and
may pull out for a period of 10 to 20 years. It is resolute on the long-term decisions
, (for example, deciding the production capacity, replacing machinery, etc.) of an
organisation.
Nature of products
Products can be categorised into consumer goods or capital goods on the basis of their nature.
Demand forecasting differs for these two types of products, which is discussed as follows:
Consumer goods: The goods that are supposed for final consumption by end users
are called consumer goods. These goods have a direct demand. In general, demand
forecasting for these goods is complete while introducing a new product or replacing
the active product with an improved one.
Capital goods: These goods are essential to produce consumer goods; for example,
raw material. Therefore, these goods have a derived demand. The demand forecasting
of capital goods depends on the demand for consumer goods. For instance, prediction
of higher demand for consumer goods would result in the hope of higher demand for
capital goods too.
Demand forecasting is vital to the management of every business. It enables an organisation
to ease business risks and make effective business decisions. Furthermore, demand
forecasting provides insight into the organisation’s capital investment and growth decisions.
With such value demand forecasting becomes an important aspect. Let us find some
importance of demand forecasting:
i) Producing the desired output
Demand forecasting enables an organisation to generate the pre-determined output. It also
helps the organisation to arrange different factors of production (land, labour, capital, and
enterprise) in advance so that the required quantity can be produced without any complexity.
ii) Assessing the probable demand
Demand forecasting helps an organisation to calculate the possible demand for its products
and services in a given time and plan production accordingly. In this way, demand
forecasting avoids dependence on just making assumptions for demand.
iii) Forecasting sales figures
Sales forecasting refers to the estimation of sales figures of an organisation for a given
period. Demand forecasting helps in predicting the sales figures by taking into account
historical sales data and current trends in the market.
, iv) Better control
In order to have better control on business activities, it is significant to have an appropriate
understanding of cost budgets, profit analysis, which can be achieved through demand
forecasting.
v) Controlling inventory
As discussed earlier, demand forecasting is helpful in estimating the future demand for an
organisation’s products or services. This, in turn, helps the organisation to perfectly assess its
requirement for raw material, semi-finished goods, spare parts, and so on.
vi) Assessing manpower requirement
Demand forecasting helps inaccurate estimation of the manpower required to generate the
desired output, thus avoiding the situations of under-employment or over-employment.
vii) Ensuring stability
Demand forecasting helps an organisation to stabilise their operations by initiating the
progress of suitable business policies to meet cyclical and seasonal fluctuations of an
economy.
viii) Planning import and export policies
At the macro level, demand forecasting serves as a valuable tool for the government in
determining the import and export policies for the nation. It helps in assessing whether import
is essential to meet
Demand functions
A demand function is a mathematical equation which expresses the demand of a product or
service as a function of its price and other factors like, the prices of the substitutes and
complementary goods, income, etc.
A demand function establishes a link between a product's demand (measured in quantities)
and factors that influence demand, such as the product's price, the price of alternative and
complementary commodities, average income, and so on (which are the independent
variables). Consider the ride-hailing app market and the elements that may influence the
number of kilometres of ride-hailing services needed by riders every day. The price per
kilometre charged is the most crucial element. Other potential considerations include demand
determinants and replacement pricing, such as the cost of public transportation or competing
cab services, whether it is a weekday or a weekend, whether it is a sunny or rainy day, and so
Demand forecasting is a technique for predicting future consumer demand over a set period
of time based on previous data and other information. Demand forecasting provides
organisations with useful information about their potential in their current market and other
markets, allowing managers to make informed pricing, business growth plans, and market
potential decisions. Without demand forecasting, firms risk making bad product and market
decisions, which can have far-reaching negative consequences for inventory holding costs,
customer satisfaction, supply chain management, and profitability. Precise demand
forecasting is an important for a firm to enable it to produce the required quantities at the
right time and arrange well in advance for the different factors of production.
Some of the popular definitions of demand forecasting are as follows:
“Demand estimation (forecasting) may be defined as a process of finding values for
demand in future time periods”
Evan J. Douglas
“Demand forecasting is an estimate of sales during a specified future period based on
proposed marketing plan and a set of particular uncontrollable and competitive forces”
Cundiff and Still
There are some basic of demand forecasting. Let us discuss the basis components of
demand forecasting as under:
Level of forecasting
Demand forecasting can be done at three levels: company, industry, and economy. The future
demand for a particular organization's products and services is projected at the company
level. The cumulative demand for all organisations in a given industry's products and services
is projected at the industry level. On the other hand, at the macroeconomic level, the
economy's overall aggregate demand for goods and services is expected.
Time period involved
On the basis of the duration, demand is forecasted in the short run and long term,
which is explained as follows: Short-term forecasting: It involves anticipating
demand for a period not exceeding one year. It is focused on the short term decisions
(for example, arranging finance, formulating production policy, making promotional
strategies, etc.) of an organisation.
Long-term forecasting: It involves predicting demand for a period of 5-7 years and
may pull out for a period of 10 to 20 years. It is resolute on the long-term decisions
, (for example, deciding the production capacity, replacing machinery, etc.) of an
organisation.
Nature of products
Products can be categorised into consumer goods or capital goods on the basis of their nature.
Demand forecasting differs for these two types of products, which is discussed as follows:
Consumer goods: The goods that are supposed for final consumption by end users
are called consumer goods. These goods have a direct demand. In general, demand
forecasting for these goods is complete while introducing a new product or replacing
the active product with an improved one.
Capital goods: These goods are essential to produce consumer goods; for example,
raw material. Therefore, these goods have a derived demand. The demand forecasting
of capital goods depends on the demand for consumer goods. For instance, prediction
of higher demand for consumer goods would result in the hope of higher demand for
capital goods too.
Demand forecasting is vital to the management of every business. It enables an organisation
to ease business risks and make effective business decisions. Furthermore, demand
forecasting provides insight into the organisation’s capital investment and growth decisions.
With such value demand forecasting becomes an important aspect. Let us find some
importance of demand forecasting:
i) Producing the desired output
Demand forecasting enables an organisation to generate the pre-determined output. It also
helps the organisation to arrange different factors of production (land, labour, capital, and
enterprise) in advance so that the required quantity can be produced without any complexity.
ii) Assessing the probable demand
Demand forecasting helps an organisation to calculate the possible demand for its products
and services in a given time and plan production accordingly. In this way, demand
forecasting avoids dependence on just making assumptions for demand.
iii) Forecasting sales figures
Sales forecasting refers to the estimation of sales figures of an organisation for a given
period. Demand forecasting helps in predicting the sales figures by taking into account
historical sales data and current trends in the market.
, iv) Better control
In order to have better control on business activities, it is significant to have an appropriate
understanding of cost budgets, profit analysis, which can be achieved through demand
forecasting.
v) Controlling inventory
As discussed earlier, demand forecasting is helpful in estimating the future demand for an
organisation’s products or services. This, in turn, helps the organisation to perfectly assess its
requirement for raw material, semi-finished goods, spare parts, and so on.
vi) Assessing manpower requirement
Demand forecasting helps inaccurate estimation of the manpower required to generate the
desired output, thus avoiding the situations of under-employment or over-employment.
vii) Ensuring stability
Demand forecasting helps an organisation to stabilise their operations by initiating the
progress of suitable business policies to meet cyclical and seasonal fluctuations of an
economy.
viii) Planning import and export policies
At the macro level, demand forecasting serves as a valuable tool for the government in
determining the import and export policies for the nation. It helps in assessing whether import
is essential to meet
Demand functions
A demand function is a mathematical equation which expresses the demand of a product or
service as a function of its price and other factors like, the prices of the substitutes and
complementary goods, income, etc.
A demand function establishes a link between a product's demand (measured in quantities)
and factors that influence demand, such as the product's price, the price of alternative and
complementary commodities, average income, and so on (which are the independent
variables). Consider the ride-hailing app market and the elements that may influence the
number of kilometres of ride-hailing services needed by riders every day. The price per
kilometre charged is the most crucial element. Other potential considerations include demand
determinants and replacement pricing, such as the cost of public transportation or competing
cab services, whether it is a weekday or a weekend, whether it is a sunny or rainy day, and so
