Demand Planning

In logistics, demand planning is a cross-functional supply chain management process for forecasting customer demand for products in order to meet this demand and at the same time avoid excess stock.

Optimal demand planning enables companies to efficiently analyze, evaluate and predict the demand for goods in supply chain management. Optimal demand planning enables companies to efficiently analyze, evaluate and predict the demand for goods in supply chain management.

What is demand planning?

Demand planning is the process of forecasting demand for a product or service by analyzing both current market trends and historical data

Demand planning is a process for forecasting the demand for a product or service...

  • at a defined cost,
  • in sufficient quantity,
  • in the right quality,
  • at the right time,
  • at the right place.

Both current market trends and historical data are analyzed to ensure that goods can be produced more efficiently and to the satisfaction of customers and delivered on time. Demand planning is therefore an important part of supply chain management. It aims to avoid disruptions in the supply chain and can also increase a company's profitability and customer satisfaction, thus contributing to efficiency gains. Demand planning allows companies to accurately predict future sales and plan without overstocking. This forward planning allows companies to make the best use of their resources and adapt flexibly to market changes, which is essential in today's dynamic economic environment.

Why is demand planning important?

Companies want to keep their ability to deliver as high as possible without building up unnecessary inventory levels, as this not only ties up capital but also increases the risk of obsolete or unusable products. If products are not available, this causes dissatisfaction among customers, which can lead to negative reviews and a bad reputation. As a result, sales are lost or customers are lost to competitors who may be better prepared to meet demand. With demand planning, companies can keep an eye on market changes and make proactive decisions to react quickly to fluctuations. The management of individual processes in the warehouse is optimally planned and predicted with demand planning carried out in advance, leading to more efficient use of warehouse space and better organization of logistics. The aim is to avoid high inventory levels, thereby avoiding both storage capacity costs and backlogs of goods, which in turn reduces operating costs and increases flexibility to respond to unexpected market changes.

What are the benefits of demand planning?

  • Correct demand planning saves time and money.
  • Processes in the supply chain are accelerated and optimized.
  • High customer satisfaction
  • Greater efficiency
  • Optimal stock levels in line with demand
  • Increased accuracy of future sales forecasts
  • Insight into market trends
  • Efficient management of distribution networks

Software for demand planning

There are software products that can be used to simplify demand planning. Companies implement demand planning software to plan and manage their future inventory and production. The software usually draws the required data from the company's ERP system via interfaces and calculates the forecasts (sometimes using artificial intelligence) based on an analysis of historical data. Demand planning requires the analysis of sales and consumer trends as well as historical sales and seasonality data. Internal and external sources are used for this purpose.

REMIRA Demand Planning

REMIRA also offers you software solutions for optimal demand planning.

Person prüft Analysen am TabetOur software solutions for IBP and S&OP offer a range of strategic and automated planning capabilities specifically designed to improve demand accuracy with the Demand Planning approach. These functionalities enable companies to respond seamlessly to changes in the market by utilizing real-time data analysis and predictive algorithms. A key benefit is the ability to flexibly adjust production schedules to avoid bottlenecks. In addition, we use state-of-the-art AI-supported forecasting to minimize inventory gaps. This technology leads to a more accurate prediction of future demand, which not only improves warehouse efficiency but also optimizes total cost of ownership. By using machine learning, patterns can be identified in historical data that would remain undetected using traditional methods. This enables dynamic adaptation to both seasonal and sudden fluctuations in demand. As a result, companies benefit from a significant reduction in operating costs and an improvement in supply chain optimization.

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What types of demand are there?

  • Primary demand: The demand for end products that must be available on a fixed date.
  • Secondary demand: The demand for components and groups that are required for the end product.
  • Tertiary demand: The demand for auxiliary and operating materials that are required to manufacture the end product.