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Workforce Optimization
Global Automotive Systems Company & Global Consumer Technology Startup
50% faster training and higher utilization.
Challenge
Data sources were inconsistent for measuring productivity, output, quality, and uptime.
Training new shop floor associates was slow, especially on complex products.
Actions
Performed gap analysis of data, information, and people flows to select optimal software.
Implemented software consolidating all shop floor data streams.
Built low/no-code tools for troubleshooting and standardized work searches.
Results
Greater transparency in capital use and output reduced direct employee needs.
Low/no-code AI cut training time by >50% at troubleshooting stations.
AI tools improved troubleshooting, lowering units on hold and speeding throughput.
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