Purpose-built machine learning technology delivers value in a practical way
Supply chains are complex and full of inter-dependencies. A problem in one area can wreak widespread
havoc on others. The Self-Healing Supply Chain™ changes all of that.
Automatically close the gap between design and actual results
Built using advanced machine learning algorithms, the Self-Healing Supply Chain bridges the gap between supply chain planning and execution and gives you the visibility you need to spot potential issues and take corrective action before they impact planning performance.
Detect, analyze and heal
With the Self-Healing Supply Chain, see high-impact exceptions between designed and actual performance. Measure the impact of incorrect design assumptions on critical business metrics and automatically correct inconsistencies based on customizable tolerances. Then, continuously monitor and adjust design inputs over time for on-going value.
Improved outcomes for your business
- Stop performance degradation sooner with automatic correction of inaccurate supply chain design assumptions.
- Focus on what matters with alerts on high-impact exceptions between designed and actual performance.
- Understand the impact of incorrect design assumptions like lead times and yields on critical business metrics faster.
- Increase business growth with automatic, continuous improvements to design assumption accuracy.
It is SigmaPoint’s pleasure to be an early adopter of the Self-Healing Supply Chain. Kinaxis RapidResponse has always been light years ahead of its time in supply chain software technology and advanced concepts, and this innovation proves it.
Having the ability to automatically detect changes in our supply plan, predict the impact on our business and suggest alternative plans of action through advanced machine learning capabilities gives Plexus an edge in meeting our customers’ needs.