Building Trust in Touchless Planning

Discover "The Periodic Table of Elements" and how to build trust in Touchless Planning:

• High-fidelity Input Data: Planning systems require complete, rich, and accurate data as an input; both historical and future-oriented.
• Right Granularity: Data must offer precise information across various dimension, e.g., time, market, product, and product life cycle.
• Advanced AI Engine: AI algorithms must be able to handle complex data sets, identify patterns, deal with outliers, and learn over time to improve accuracy.
• High-accuracy Results: The output should be accurate, unbiased, reliable (avoids big outliers), and stable (low variations from one forecast to the next).
• Explainable Forecast: Explainability refers to a system’s ability to offer clear and understandable justifications for how it reached a particular decision.
• Feedback Mechanisms: Systems need to provide helpful feedback with detailed insights into how adjustments affected forecasting accuracy and forecast value add.