Functional Value

- Analyze quantity adherence to identify deviations between planned and actual production quantities. Enable proactive decision-making to address inefficiencies, improve schedule accuracy, and ensure smoother operations.
-Predict and prioritize potential deviations from schedule through risk mitigation with machine learning algorithms. Present Insights into the reasons behind predictions such as potential delays by calculating a confidence level (in percentages) indicating the probability of each obstacle. Present causes of delay, including priority sorting, material shortages, or insufficient resources to support the task and enable adjustments to the production schedule or master data before execution.

User Experience Value

- Improve the user experience to increase charts readability, ease the filter behavior (from a table, between all relevant pages) and more configurability of table columns