Customer Story: Increased Run Rate by 40%+ Through Enabling Operators with AI
Watch Chris Rodgers, Director of TPM at INX Int’l, describe the process for acheiving replacing 30-year Operators with a new generation.
Hear the Top Do’s and Don’ts at 4:08.
How does Process AI work?
Predicted Quality Outcomes
Customized predicted quality metrics and other constraints are automatically applied so operators only see process settings that align with organizational parameters and current constraints.
Prescriptive Process Setting Recommendations
Process settings are generated automatically and provided to the operator in an easy to use interface. When implemented, these recommendations enable the reduction of material and energy costs, and/or increasing speed, all while maintaining top-notch quality.
Quantified Action
Process AI’s live cost-saving estimates and aggregations help operators and others on the front-line understand how implementing recommendations will affect their and automated recommendations.
Process AI’s data-driven insights stem from stable historical segments, respecting organization set recommendation parameters, constraints, and predicted quality specs. Powered by Oden’s robust data architecture and AI expertise, it’s a game-changer for manufacturing efficiency.
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Gain Confidence, Visibility and Results
Operators want confidence. Supervisors want visibility. Plant leadership wants results. Oden makes process intelligence accessible, immediate, and actionable, so the “true factory” becomes your everyday operations. Schedule a demo to see what your plant is really capable of.
See It In Action
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