Analyzing Time Series Optimization Results with Joule

An optimization run has finished, but you have unfulfilled demand. Where do you even start to diagnose the root cause—was it a resource constraint, a material shortage, or something else?

Recent investments enable the use of Joule for complex supply planning workflows:

• A key feature is time series optimization explainability, which analyzes planning run results, highlights unfulfilled demand, and identifies KPIs and constraints.
• Joule supports deeper analysis, provides customer-product lists with demand gaps, and suggests prioritized mitigation steps (e.g., scenario comparison, alternate supplier assessment).
• Scenario management and job details are directly reflected within Fiori apps.

• Time Series Optimization Analysis identifies unfulfilled demand and constraints by analyzing planning run results, highlighting KPIs and root causes such as resource capacity issues or planning horizon constraints.
• Detailed Issue Breakdown provides customer-product demand gap lists with specific identifiers and AI-generated explanations to help planners quickly understand root causes of supply gaps.
• Mitigation and Scenario Management offers prioritized mitigation options, scenario comparison, and alternative planning strategies directly within Fiori apps to resolve unfulfilled demand.