From Kickoff to Go-Live in 5 Weeks: How Eberspächer Successfully Implemented Intelligent Demand Forecasting into its Supply Chain
The Eberspächer Group, a globally leading system partner in the automotive industry, is transforming its supply chain planning with the AI-powered Demand Forecasting solution from pacemaker.ai.
As a global technology leader in exhaust technology, vehicle heating, and climate systems, Eberspächer faces the continuous challenge of efficiently managing its complex supply chains. Broad product portfolios with highly diverse planning requirements frequently tie up valuable resources.
As an industry pioneer and with a view to future market requirements, Eberspächer is therefore investing in AI-powered Demand Forecasting from pacemaker.ai to strengthen the efficiency and resilience of its supply chains in the long term.
From Concept to Practice in Record Time
What initially began as pure problem identification within the framework of an "Innovators Challenge" developed step by step into a fully implemented solution. We had already begun technical exchanges approximately three months before the official onboarding kickoff. From kickoff to go-live, however, only five weeks passed – a pace that we successfully achieved together.
Focused Approach with Clear Business Value
The teams identified the real optimization potential with a solid value case and developed a promising solution approach in the shortest possible time.
Agile Collaboration on Equal Terms
The motivated teams from Eberspächer and pacemaker.ai, characterized by strong commitment and agility, worked hand in hand on the rapid implementation.
"The shared commitment and open communication were crucial for us to achieve the journey from onboarding kickoff to implemented solution in just 5 weeks," explains Lisa Levasier, Head of Projects at pacemaker.ai.
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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.
Integration of Advanced AI and Machine Learning
The implemented solution utilizes advanced AI technology to optimize supply chain planning. Through the deployment of machine learning algorithms, forecasts are created based on various internal factors and time series data on delivery information. This automation of analytical processes leads to increased forecast accuracy across all items and significant efficiency gains, enabling teams to focus on strategic tasks.
Promising Initial Success
Already in the early phase following implementation, the solution shows promising results.
"Through the integration of Advanced AI and Machine Learning into our supply chain planning, we achieve higher forecast accuracies, reduced inventory levels, and make smarter, data-driven decisions," reports Tatjana Sauter, Director Supply Chain Management at Eberspächer.
Looking to the Future
The successful implementation of AI-powered Demand Forecasting impressively demonstrates how digital transformation works in practice. Thanks to the forecasts and models continuously optimized by pacemaker.ai, the Eberspächer Group continues to position itself for sustainable growth in a dynamic market environment.
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.
