AndonCloud

Smart Status AI analyses historical data and current workstation statuses to recognise patterns and predict the most likely production events. The system uses AI algorithms that compare the current situation with hundreds of previous reports, indicating the best match to the operator. This makes the process of reporting faults or downtime faster and more intuitive. The operator receives a ready-made status recommendation, which they can accept or modify.

The implementation of Smart Status AI significantly speeds up event reporting and reduces the risk of errors when selecting statuses, which increases the reliability of production data. The system improves the accuracy of OEE reports, supporting downtime analysis and better operational decisions. Status automation reduces response times to failures and micro-downtime, which directly translates into savings and lower operating costs. Companies gain a clearer picture of machine performance and greater control over processes.

Smart Status AI works particularly well in production environments with high variability and frequent changeovers, where rapid response to events is crucial. The system reduces micro-downtime, improves process fluidity and increases resource utilisation. Implementation statistics show that 12–14% of statuses come from AI recommendations, which translates into real efficiency gains. With its simple implementation and intuitive interface, the solution supports the daily work of operators and production managers.