Enhancing Demand Planning Accuracy Using Digital Twins
Demand planning is a challenge, especially in fluctuating markets. Digital twins improve accuracy by incorporating real-time sales data, seasonal trends, and external variables like weather or events. Enhancing demand planning accuracy using digital twins allows companies to adjust forecasts dynamically and allocate resources effectively. These models simulate different outcomes based on past and present data, leading to better stocking and fewer markdowns. With this level of intelligence, demand planners can align production and logistics seamlessly. It transforms planning from a guessing game into a data-driven process.