Using machine learning to estimate lost demand in a fulfillment chain

The article likely discusses the application of machine learning models to predict and quantify lost demand within a supply chain or fulfillment network. This could involve analyzing various data points like sales figures, inventory levels, and order fulfillment times to identify areas where demand is not being met. The use of machine learning suggests the potential for more accurate and data-driven decision-making in inventory management and resource allocation.

• •Focus on applying machine learning to supply chain optimization.
• •Addresses the problem of lost demand in fulfillment chains.
• •Suggests data-driven improvements in inventory management.