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The automotive after-sales business’ emphasis is on customer retention which it accomplishes by providing services such as maintenance, reparation and spare parts supply. However, not only the rapid supply of spare parts impacts customer satisfaction, but also the service of providing customers with an accurate delivery date. In this context, the Critical Parts Management department at the Mercedes-Benz Customer Assistance Center plays a crucial role because their scope of responsibility is the management of parts bottlenecks in the Mercedes-Benz after-sales logistics chain for wholesalers and retailers located worldwide. This thesis aims on establishing a rating of improvement recommendations whose implementation can positively influence the delivery date accuracy. Hence, the scope of the analysis comprises an initial assessment of the current situation and the main driving factors that impact the delivery date accuracy. This study relies on qualitative and quantitative data collection via primary research. The examination of the collected data reveals that deliveries usually occur within the scheduled week but most often not on the scheduled day. The noncompliance of involved departments to target specifications and department internal factors were identified as sources of inaccurate delivery dates. Consequently, the analysis concludes with both, external and internal improvement recommendations which are ranked according to their feasibility and possible impact considering a customer and a business centric perspective. A conceptual design of improvements identifies the composition of a reporting team to be very beneficial for both, Critical Parts Management and its customers. This term paper creates value to the department by offering a foundation to a process optimization approach. If further recommendations are implemented and continuously tracked, an increased customer satisfaction and a reduction of waste of time and money is expected to be accomplished.
In today's fast-paced business environment, customers expect more than just high-quality products or services. They also demand excellent customer support that is both efficient and personalized. With the growth of businesses and the increasing complexity of products and services, providing efficient customer support has become a critical component of any successful business strategy to fulfill customers and user’s expectations. The present study investigates the need for a technical support helpdesk solution within the business unit Industrial Hydraulics of Bosch Rexroth, a global leader in drive and control technology. The primary objective of this thesis is to assess the current state of the support processes, identify areas of weakness, and leverage these insights to optimize and enhance them. The focus will be on finding a way to enhance transparency of customer data.
Based on the theory to process optimization, a current state analysis was conducted, and expert interviews were carried out to identify weaknesses and potential solutions for improving customer support. The research question "How can the Industrial Hydraulics Services of Bosch Rexroth deliver more effective and efficient customer support?" is addressed through the findings that a central platform is necessary to handle customer inquiries more efficiently, given the diverse communication channels and varying modes of operation within the business unit. The use of the existing SAP CRM ticketing system Robin is suggested as an efficient solution path, which should be optimized for future use based on the identified optimization approaches. The results underscore the importance of a unified approach to working, which is vital for the success of the business unit, resulting in increased efficiency, quality, collaboration, scalability, and customer orientation.