Demand forecasting in supply chain management

With the help of sales forecasts and demand forecasting, the entire supply chain is to be optimised for a beverage company.

Significant reduction of the whip effect, which increases as the level in the supply chain rises.


Reduction of out-of-stock situations despite simultaneous reduction of stocks


Central calculation of order proposals enables transition to vendor-managed inventory


Out-of-stock situations and excess inventory exist at all levels of the supply chain and need to be reduced. Whip effects should be identified in the historical sales data and countermeasures implemented. Increasing product variety should be managed without the need for manual intervention.


The data silos are broken down by establishing an overarching data lake for centralised control of the entire supply chain. Automated sales forecasts for all stages of the supply chain are implemented with machine learning algorithms based on historical sales data. Forecasting unknown demand by modelling demand data from historical sales data.


A universal, automated forecasting environment is available that can be used flexibly at all stages of the supply chain. Whip effects are reduced through shorter response times and reliable forecasts at all stages.

Are you interested in your own use cases?


An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.


There will be a interactive and Flexible application, including of different maps with two different views implemented.


Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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