Automobile manufacturer predicts sales of over 500,000 items
A major German automotive manufacturer is experiencing volatile demand in the after sales business and is no longer satisfied with the current forecasting approach. With pacemaker.ai, a transparent solution was found.
Herausforderung
A leading German automotive manufacturer was confronted with fluctuating demand in its after-sales business and was increasingly dissatisfied with the previous approach to predicting these developments. In search of an improved solution, the company decided to implement pacemaker.ai, a provider of transparent forecasting technologies.
The forecasting method used up to that point was developed internally and was based primarily on trend analyses. However, this method had recently lost accuracy. An additional problem was that the expertise required to carry out and adjust forecasts was largely concentrated with just one person in the company, increasing the risk of loss of knowledge and dependency.
The transition to pacemaker.ai offered a solution that not only improved forecasting quality, but also more broadly distributed knowledge of predictive methods within the company and thus made it less susceptible to staffing bottlenecks. As a result of this strategic change, the automotive manufacturer was able to create a more robust and transparent planning basis, which ultimately led to more efficient management of the after-sales area.
Lösung mit pacemaker.ai
pacemaker.ai has developed a comprehensive forecasting system for a manufacturer that includes both long-term and short-term forecasts for around 500,000 SKUs. The long-term forecasts are designed to help the original equipment manufacturer (OEM) plan product life cycles. These forecasts cover a period of 15 years and are therefore particularly valuable for strategic decisions and long-term planning processes.
In parallel, the short-term forecast provides the OEM with operational and medium-term planning support. These forecasts cover a period of two years and provide monthly forecasts that enable the company to respond flexibly to market demands and production conditions.
It is noteworthy that all forecasts created by Pacemaker.ai have significantly exceeded the expected accuracy values. This underscores the effectiveness and reliability of the predictive methods and technologies used by Pacemaker.ai. By integrating these precise forecasting solutions, the OEM can not only optimally allocate its resources, but also strengthen its market position through efficient and targeted production planning.
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