With these advanced planning capabilities natively integrated with Oracle’s other supply chain modules, plan changes flow seamlessly to the supply chain execution system. Planning efficiency and results can be enhanced by identifying lead-time trends, anomalies, and potential impacts with AI-assisted prioritized actions and suggestions for resolution. Machine learning improves the accuracy of lead-time assumptions by highlighting variances based on actual performance. Oracle has also implemented AI and machine learning in its supply chain planning application to improve the product with robust algorithms that handle the sophisticated customer use cases.
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