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MBUSI Innovation Challenge

Posted April 21, 2018

The 2018 MBUSI Innovation Challenge is an opportunity to engage Alabama’s thriving college and professional startup community to take on critical challenges faced in production flow management, big data efficiencies, and digital communications using creative business strategy, software development, technology solutions, and more.

Our goal is to inspire creativity with vehicle manufacturing and all of its glory through collaboration, and energetic current- and next-generation startups with aspiring and professional problem-solvers to build innovative solutions with Mercedes-Benz U.S. International, Inc.

Urban Engine has partnered with Mercedes-Benz U.S. International, Inc. to develop technical challenges for students and professionals as competition participants. There will be prizes, online workshops, on-site facility field trip visit, and an opportunity to engage with Daimler leadership.

The “MBUSI Innovation Challenge” seeks to inspire creativity in the automotive sector through collaboration and energize current and next-generation startups and problem-solvers to build innovative solutions using creative business strategies, software development, and technology.

Apply your team’s skills to solve one or more of the listed challenges, as defined by Mercedes-Benz U.S. International, Inc. below:

  • Challenge #1: How to develop a system that combines all MBUSI services for employees?
  • Challenge #2: How to improve the lunch experience for MBUSI employees?
  • Challenge #3: Vehicle tracking throughout the plant and new vehicle parking area
  • Challenge #4: Implement augmented reality solutions in key processes
  • Challenge #4: Implement augmented reality solutions in key processes
  • Challenge #5: Drone based inventory counting
  • Challenge #6: Big Data analytics for optimizing inventory levels per Part Number
  • Challenge #7: Universal application for all supplier representatives to use at MBUSI for issue capturing
  • Challenge #8: Automated kitting / sequencing cells using robotics


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