white paper

Building Trust in Touchless Planning

The future of planning is powered by advanced AI engines, reducing manual intervention and boosting efficiency with Touchless Planning. But without trust, planners spend too much time touching system outputs and end up making wrong decisions.

PROVEN VALUE DELIVERY ACROSS 30+ INDUSTRIES

In this white paper you’ll learn how to

Deal with inaccurate forecasts
Explore how integrating high fidelity data with AI can drastically improve your forecasting accuracy.
Reduce manual planning
Learn how touchless planning reduces manual tasks, allowing planners to concentrate on higher-value activities.
Drive new tech adoption
Understand effective methods to overcome resistance and enhance trust in automated planning systems.

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.