Abstract: A computer-implemented process includes the following operations. Interface data for a first computer application having a first interface configured to exchange data with a second computer application is identified. The interface data is aggregated using a machine learning engine, and the machine learning engine performs contextual analysis on the aggregated interface data to identify a context. A fix pack for the first computer application is generated using the context from the contextual analysis. The fix pack is caused to be applied to the first computer application. The fix pack includes an installable for the first application to transform notations used by the second computer application when communication with the first application.

Abstract: Technology for machine logic (that is, computer software, computer hardware) to perform a process that: (i) receives historical data relating to historical operations of a supply chain; (ii) applies a machine learning algorithm to detect that an antipattern exists inherent in the way the supply chain is being operated; (iii) calculates a bias influence score based on the existing antipattern; (iv) re-applies the machine learning algorithm to identify a discovered anomaly that exists in historical data relating to operation of the supply chain; and (v) sends out a communication identifying the discovered anomaly.