Demand, supply, and inventory planners often use complex machine learning algorithms. By using generative AI and conversing with Joule in natural language, planners can gain insights into the models’ variables, constraints, and decision processes, leading to much more informed decisions and proactive planning. SAP helps customers boost explainability but also enable what-if scenario simulations for complex planning decisions.
Summary:
- Users can interact with Joule in everyday language to gain insights into planning models and results.
- Joule explains complex model variables, constraints, and decisions for informed planning.
- Joule helps identify potential issues, explains the root causes, and suggests possible solutions.
- Joule can be used to create and compare different scenarios to evaluate the impact of planning decisions.
- Joule helps planners make better, faster decisions based on clear insights and scenario comparisons.