Case studies

Increasing Manufacturing Throughput through Machine Learning

An Early Warning System based on Logistic Regression was created to predict downtime in processing line for a leading snack foods company. This resulted in $2 million savings in cost per fryer and potential save of $50 million after rollout to 30 plants across the US.

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