Demand Forecasting in Supply Chain

In the supply chain, there is a highly detailed and complex chain operational process in the management of all processes from raw materials to production, from transport to the end user. In the management of these processes, demand control is an important factor to direct different types of activities such as production, inventory management, logistics and supplier relations. The ability of businesses to direct their activities such as marketing, sales, promotion and communication in line with demand forecast analyses ensures that demand forecasting is the guiding light of the business in many areas.

What is Demand Forecasting and How is it done?

Demand forecasting is the strategic and systematic monitoring of current demand changes and forward-looking demand forecasts required by all these detailed processes in supply chain management. According to these forecasts, it is ensured that the business organises various operation processes. It is also easier for supply chain managers to manage production quantity, inventory levels, stock rotation and other supply chain activities according to the needs of the business.

Demand forecasting is an analysis method for developing forecasts to predict how much a product or service will be demanded by consumers in a given future period. Demand forecasts are prepared by analysing historical data, tracking trends, calculating seasonal effects, analysing customer behaviour, market research and evaluating other factors. These forecasts help supply chain managers optimise inventory levels, manage resources effectively and increase customer satisfaction.

Importance of Demand Forecasting for Businesses

Supply chain management is a complex process that includes all processes from the production of a product or service to the consumer. In this process, demand forecasting plays an important role. Accurate demand forecasting can be of great benefit to businesses in inventory management, supply chain management, planning and decision-making in production processes.

Since the supply of goods or raw materials or other supply chain processes will be affected in demand forecasting, the risk of a wrong forecast turning into a chain of errors is significant. Such a chain of errors means a loss for the business. On the other hand, accurate demand forecasting can be a guide for important decisions in many areas such as production, inventory management, supply chain management, marketing strategies and financial planning. Therefore, demand forecasts are critical not only for production but also for actions to be taken in other areas.

Demand forecasting plays an important role in understanding how much production and stocking will be needed during the production of products or services of enterprises. Forecasts are used to guide production planning in areas such as raw material or material procurement, preservation after procurement, conversion into production, storage and storage in the process leading to sales. Businesses can manage their stocks based on demand forecasts. Every unnecessary stock means a financial burden, so accurate forecasting also saves storage and transport costs.

The accuracy of demand forecasting affects the success of the supply chain in supply chain management and marketing planning. Accurate forecasts shed light for businesses to shape their marketing strategies accordingly by offering products that meet the needs of consumers. Making pricing decisions and developing promotional campaigns based on demand forecasts plays an important role in controlled progress in increasing sales. Moreover, businesses can organise their relations with their suppliers in line with demand forecasts, and in this sense, they can make positive contributions to their communication processes and gain competitive advantage. In this way, the role of accurate forecasts in increasing the efficiency of the supply chain is important.

Increasing customer satisfaction, planning operational processes and marketing plan according to the needs, reducing inventory and inventory-related costs, reducing operational errors, reducing total costs can be summarised as the advantages of demand forecasting.

Analysis in Demand Forecasting

The main methods used in demand forecasting are: historical data analysis, survey method, economic analyses, analysis of seasonal trends. If the enterprise has a fixed product range, forecasts about future demand forecasts can be developed by analyzing sales data from past periods. Another effective method is the questionnaires created to take the pulse of the consumer. Surveys can be used to gather information about consumers' future demands. Brands or organisations often use this method when conducting R&D for marketing planning before product or service launches. Surveys are also used to guide specific and strategic marketing needs, such as diversification of existing products or services with changes in content or presentation. Thus, it is tried to avoid unwanted problems such as any loss by encountering unexpected results in sales. Another method of developing demand forecasts is to create demand forecasts based on economic data and agendas. Analyses of economic indicators are used to predict demand levels in a given period. In some cases, according to the nature of products and services, demand becomes important in a certain period restriction. It may be seasonal, such as holiday periods, winter periods, or changes in demand based on various agendas may be more demanding periodically. Therefore, analyzing seasonal trends can be useful for forecasting future demand. As can be seen, instead of solutions limited to formulas, forecasting efforts, which are strategically studied specifically for the business and the dynamics of the business and the business, shed light on target setting in many areas through appropriate analysis methods.