What type of data is important for running the Demand Sensing (full) algorithm?

For running the Demand Sensing (full) algorithm, real-time sales data is crucial because it captures the most current purchasing behaviors of customers. Demand Sensing aims to refine and enhance demand forecasts by utilizing the latest data available to respond to market changes more effectively.

Real-time sales data allows businesses to adjust their supply chain activities promptly based on what is actually happening in the market, rather than relying solely on historical trends or forecasts. This type of data helps to identify patterns and fluctuations that can suggest shifts in consumer demand, making it a key component in accurate demand planning.

While historical snapshot data may offer valuable insights into past performance, the Demand Sensing algorithm specifically seeks to leverage current data to provide adjustments and insights that are timely and relevant. Thus, the focus on real-time sales data is what enables more agile and responsive decision-making in demand management.