In recent years AI and machine learning have had a major impact on how we run our businesses. They have also influenced the way we make decisions in supply chain planning. As a result we are now in a position to have a supply chain planning system that may have enough intelligence to grow and change with the organization on its own!
The concept of supply chain digital twin has become very popular in recent years. It is essentially a digital model of your supply chain intended to be the foundation for companies to plan and operate their supply chain digitally and autonomously.
Many if not most supply chain leaders are in search of better visibility. S&OP solutions have become popular to enable such visibility however, they fail to provide the best options. This leads to the need for what-if scenario planning so that the users find their best course of action.
Inventory is just an accumulation of costs, until it gets sold and moved out to a customer. So, the basic issue is how to make inventory move or as they say “turn.” Lack of inventory at the right time means loss of revenue and potentially loss of market share.
Do you know that with the application of an advance AI/ML driven solver your supply chains can deliver following: On Time Delivery performance of greater than 90% Inventory Turn Over of more than 15 Planning accuracy of greater than 95%