Data availability and importance have increased rapidly in recent years and will continue to gain significant relevance. Efficient and beneficial data analysis is one of the most decisive competitive advantages in the highly competitive automotive industry.
With artificial intelligence (AI), the targeted processing, harmonization, analysis, and use of data available along the supply chain becomes possible, enabling processes to be designed more efficiently and creating an optimized planning basis for business alignment. This way, companies can gain a decisive strategic edge.
Autonomous logistics systems of the future will enable companies to create self-controlled, self-regulated, and optimized material flows and manufacturing areas. Intelligent, decentralized IT systems and robots communicate and collaborate, each taking on a specific role and working towards a common goal.
BearingPoint’s Navigator Solutions bundle innovative advanced analytics, enabling companies to generate added value from their data.
The goal is transparency and increased data quality for fully automated and digitalized processes at reduced costs. Application areas range from process and system transformations and restructuring to identifying inventory optimization potential across the entire supply chain. Thanks to the direct ERP connection, nearly real-time regular data analyses tailored to individual needs become possible.
The cloud software enables processes in transport and logistics systems to be implemented autonomously - with logistical tasks being continuously monitored and actively controlled. Our distinctive expertise extends to the definition, evaluation, and implementation of integrated application scenarios. Numerous customers in the automotive industry, OEMs, as well as suppliers rely on BearingPoint’s Navigator Solutions to drive the digitalization of their logistics.