How can users forecast demand in Oracle OM?

Forecasting demand in Oracle Order Management (OM) is heavily reliant on data analysis, especially historical sales data and trends. By examining past sales, users can identify patterns and fluctuations in demand, which can inform future inventory planning. This analysis allows businesses to adjust their stock levels proactively, ensuring they meet customer demands without overstocking or understocking.

While collecting customer feedback and conducting surveys can provide valuable insights into customer preferences and potential product demand, these methods are more subjective and less systematic than analyzing historical sales. Additionally, tracking competitor pricing strategies might offer insights into market positioning but does not directly contribute to predicting a company's own product demand.

Therefore, the method of leveraging historical sales data and trends is the most effective way to create a reliable forecast within Oracle OM, enabling users to optimize their inventory and supply chain operations effectively.