STIHL worker cutting down a tree
Success Story

Machine Learning Technology Helps STIHL Cut Cost, Time and Human Error

STIHL is a global name in the development, manufacturing and distribution of power tools for forestry and agriculture. As the world's top-selling chainsaw brand, quality assurance is an integral part of the company's production process.



STIHL wanted to implement a fully automated process to inspect the production of gasoline suction heads as components of a chainsaw. STIHL turned to Zebra's machine learning technology to replace manual inspections, which helped push hit rate accuracy to nearly 100%.

Benefits / Outcomes

  • 99.5% hit rate accuracy
  • Significant cost savings
  • Time saved due to fully automated inspection process 

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