Which aspect is NOT a focus of the Demand Sensing setup?

In the context of Demand Sensing setup, it primarily focuses on enhancing forecast accuracy by leveraging real-time data and advanced analytics. This involves processing historical data to ensure high data quality, implementing algorithms that run at defined intervals to adjust forecasts more dynamically, and aligning time horizons to optimize planning responses.

The collaboration aspect, while important in a broader supply chain context, is not a direct focus of the Demand Sensing process itself. Demand Sensing is more about adjusting demand plans based on data insights rather than engaging collaboration with supply chain management. Instead, it emphasizes immediate data-driven insights and accuracy improvements through predictive models and algorithms. Therefore, the emphasis of Demand Sensing is on data handling, algorithmic adjustments, and time horizon alignments rather than on collaboration efforts with supply chain managers.