In today’s fast-changing environment, industrial manufacturers must be agile, innovative, and adaptable to stay competitive and meet market demands. At BearingPoint, we guide our clients in adopting Industry 4.0 technologies such as IoT, artificial intelligence, and automation to manage supply chain disruptions, increase sustainability, and react to challenges and pressures in the market. Our customers include many of the world’s leading manufacturing companies.

Client Stories

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  • BearingPoint’s code analysis services enhance Siemens’s M&A software due diligence

    Siemens has improved its M&A Due Diligence process by leveraging BearingPoint's Code Analysis Services, which provide insights into the quality, security, and open-source compliance of the software acquisitions. The Siemens T IP team is enabled to make a fact-based assessment and recommendation for acquiring software technologies.

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  • Implenia establishes itself as a digital leader in the Swiss construction industry

    Implenia, a global leader in the construction industry, is revolutionizing its operations with its INSPIRE project. This initiative aims to establish a comprehensive digital framework that standardizes and integrates processes. INSPIRE is a group-wide tool to advance critical digitalization efforts, including cutting-edge artificial intelligence applications.

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  • TÜV Rheinland goes agile and launches an innovative workflow platform

    TÜV Rheinland Business Stream Products decided to create a digital ecosystem to facilitate cross-functional collaboration between the company’s globally distributed teams and customers. By implementing a new workflow platform, TÜV Rheinland gains more control over its projects’ execution and delivery, while opening new possible revenue streams through offering tailored services to its customers.

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  • Global automotive supplier reduces inventory by 20% and unlocks potential for multiple savings

    By using BearingPoint’s Inventory Navigator, a global automotive supplier client benefits from a sustainable inventory optimization approach resulting in full cost transparency for logistics planners and material managers. This empowers them to make data-driven decisions, adapt to changing market demands, and achieve an inventory level that meets liquidity constraints and targeted service levels.

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