Germanedge’s demand planning software is concerned with forecasting future sales and turnover figures. Using machine learning techniques, the demand for a product observed in the past is extrapolated into the future and adjusted and optimized using additional information.
The demand planning system enables a collaborative process – i.e. mapping and synchronization with sales planning (price planning), sales planning and rolling demand planning.
Demand Planning enables you to incorporate one-off and seasonal effects, special market influences and trends, the product life cycle (new product launches, product discontinuations) and price changes as well as competitor activities into the final demand plan.
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The demand planning software has a dashboard with overviews of manually or automatically calculated sales/turnover plan figures, sales histories, current customer orders and versioned planning statuses. This gives you a comprehensive overview of all important key figures for demand planning.
Like modeling allows you as the user of the software to specify how the predecessor and successor products are related. This allows you to include the use of historical data for new planning objects, e.g. a predecessor product whose demand behavior is the same or similar, in order to analyze the lifecycle of a product more precisely. This also enables reliable sales forecasts to be made for new products.
The Demand Planning System has alerts and automatic forecasting and distribution functions that enable efficient and fast processing of sales planning, for example in the event of planning deviations from the previous month or planning below the level of incoming customer orders.
Step-by-step instructions for integrating the Demand Planning software into your system:
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Our demand planning software can be integrated in various ways – you have a free choice of installation and use:
We install the demand planning software in your IT environment.
For user companies that want maximum scalability, availability and data security, we recommend the use of technology-leading cloud hyperscalers such as Amazon, Azure, Google or the German provider Ionos.
Demand planning refers to predicting the future demand for products or services. Historical data, market trends and other relevant information are taken into account in order to create accurate forecasts.
Demand planning in production is crucial for your company, as it enables you to make your operations more efficient and make optimum use of resources. The information from the sales forecast can be used to optimize your stock levels, reduce delivery times and increase customer satisfaction. The sales forecast can also be used to plan important investment projects at an early stage.
The quality of demand planning is influenced by various factors. These include the availability and quality of data, the accuracy of historical data, the consideration of market trends and seasonal fluctuations as well as the effectiveness of the planning tools and methods used.
In contrast to Demand Planning, which focuses on forecasting demand, Supply Planning refers to planning and managing the procurement and provision of resources to meet demand requirements. While Demand Planning focuses on customer demand, Supply Planning focuses on the internal organization of the supply chain and ensuring that sufficient resources are available to meet demand
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Martin Kohl
Sales Team Germanedge