Facing a critical bottleneck, a top-tier construction and mining equipment manufacturer was bleeding over $19 million annually, hampered by high staff turnover and an assembly line limping at 83% efficiency. Traditional fixes fell short, leaving the giant in dire need of a smarter, data-driven solution to reclaim its market stride.
It was time for a revolutionary analytical approach to turn the tide on inefficiency and loss.
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