How Hettich optimizes resource planning in logistics with the help of AI-supported demand forecasts.
Hettich is one of the world's largest manufacturers of furniture fittings and is increasing the resilience of capacity planning by implementing the SaaS solution from pacemaker.ai.
As an internationally active company, Hettich is faced with the central task of maximizing the efficiency of its warehouse logistics and supply chains in order to be able to react appropriately to uncertainties and disruptions. Hettich has recognized the need to use advanced technologies to plan ahead and thus increase resilience.
In collaboration with pacemaker.ai, the company launched a joint project to improve the forecast accuracy of demand planning and to optimize the underlying processes.
The focus is on the use of a specially developed AI tools, which is tailored to Hettich's specific forecasting requirements. This innovative technology uses the power of machine learning algorithms.
As a result of the seamless integration of KI into resource planning, Hettich expects significant improvements in planning security. This transformative initiative positions the company for sustainable growth and strengthens its competitiveness in the sector.
At Hettich, we have recognized the extent to which changing conditions in logistics have an impact on planning security. To meet these challenges, we rely on advanced technologies such as pacemaker.ai.
Every day, Hettich is faced with the demanding task of efficiently shipping orders from its warehouse. Short-term orders from online business with next-day delivery and the fluctuating order volume on a daily basis make planning security significantly difficult. In addition, there are various warehouse areas with different functional areas and the shortage of skilled workers makes it increasingly difficult to recruit suitable personnel in the short term.
In order to overcome these challenges, a solution should be introduced that enables Hettich in logistics to create demand forecasts for different time horizons while taking into account all relevant key figures for resource planning. The aim was to develop a solution that could precisely forecast the expected work requirements per day, week and month in the various warehouse areas.
In collaboration with pacemaker.ai, Hettich has launched a project to use modern machine learning technologies. By integrating the AI-based forecasting solution, the company significantly improves the accuracy of resource planning.
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Regardless of where you currently stand. Our team will be happy to provide you with a free initial consultation. In just under 30 minutes, we will look at your challenges and our solution together.
By partnering with pacemaker.ai, we can optimize our resource planning and create precise demand forecasts. This is how we position ourselves for sustainable growth.
The use of machine learning algorithms in resource planning is important for Hettich in logistics in order to predict actual specialist trips to each warehouse area and thus optimize resource planning.
The forecasting solution developed by pacemaker.ai takes six different warehouse areas into account. With a forecast horizon of 84 days, the forecast accuracy is over 90%. In addition, the forecasts are not only available in the frontend developed by pacemaker.ai, but can also be exported to file formats such as Excel in order to achieve maximum compatibility with Hettich's existing processes and IT landscape. This approach enables Hettich to use the generated forecasts flexibly without having to change existing structures.
The automated daily exchange of relevant data sets enables pacemaker.ai to continuously return current forecasts every morning. Note: It is a system that learns so that forecasts are continuously updated.
Arrange your initial consultation now
Regardless of where you currently stand. Our team will be happy to provide you with a free initial consultation. In just under 30 minutes, we will look at your challenges and our solution together.
