According to Sunil Chopra and Peter Meindl,[1]​ the macro processes within a manufacturing or service company or organization and the sub-processes they include are:

The functions that make up the internal Supply Chain in a manufacturing company are:.

There is no consensus about whether or not these 5 functions should report hierarchically to the same Management / Direction, but there is consensus in the sense that they must operate in coordination so that the internal Supply Chain (or internal Logistics) is efficient and effective.

Synchronization is very important in these chains so that waste does not occur, measured as inventory, time or customer service failure.[11]​ It helps to have a good prediction of demand to avoid causing surpluses or shortages of finished products. A failure in this prediction will cause a so-called bullwhip effect (also called bullwhip effect). Therefore, it is said that the impact of an action on a supply chain is directly proportional to its delay in the propagation of communication.

Real-time tracking in cargo logistics offers many benefits for companies. By optimizing routes, effectively managing fleet, reducing costs, improving visibility, optimizing inventory management, improving customer satisfaction, streamlining processes, making data-driven decisions, reducing risk, and improving collaboration, this technology can transform your supply chain and give you a competitive advantage.[12]​ Investing in real-time tracking can help you improve operational efficiency, reduce costs, and provide superior service to your customers.

A supply chain is a sequence of processes and flows that take place within and between different stages and combine to satisfy a customer's need for a product.

Push/Pull View Processes are divided into two categories depending on whether they are executed in response to a customer request or in anticipation of it.

Cycle vision. The processes are divided into series of cycles, each carried out at the interface of two successive stages. Each cycle occurs between two successive stages of a supply chain. Not all supply chains have the same cycles (For example, some manufacturers who sell through e-commerce do not have the finished product replenishment cycle in their supply chain).

Some examples of these cycles are:

The logistics sector's investments in artificial intelligence are beginning to gain weight in the industry. The benefits of the contribution of AI in the Supply Chain are clear: cost optimization, risk mitigation, greater efficiency in operations, better forecasts, faster deliveries thanks to route optimization and more optimal personalization for the end customer. Artificial intelligence applied to demand planning[14]​ allows for much more precise inventory management. Various case studies show reductions in forecast errors of between 20% and 50%,[15]​ which translates into fewer stockouts and less excess inventory.

The management of data on operations, together with an artificial intelligence system that seeks constant optimizations of processes and operations, is a great benefit. However, the investments required in this field mean that they are not accessible to all companies.

According to Sunil Chopra and Peter Meindl,[1]​ the macro processes within a manufacturing or service company or organization and the sub-processes they include are:

The functions that make up the internal Supply Chain in a manufacturing company are:.

There is no consensus about whether or not these 5 functions should report hierarchically to the same Management / Direction, but there is consensus in the sense that they must operate in coordination so that the internal Supply Chain (or internal Logistics) is efficient and effective.

Synchronization is very important in these chains so that waste does not occur, measured as inventory, time or customer service failure.[11]​ It helps to have a good prediction of demand to avoid causing surpluses or shortages of finished products. A failure in this prediction will cause a so-called bullwhip effect (also called bullwhip effect). Therefore, it is said that the impact of an action on a supply chain is directly proportional to its delay in the propagation of communication.

Real-time tracking in cargo logistics offers many benefits for companies. By optimizing routes, effectively managing fleet, reducing costs, improving visibility, optimizing inventory management, improving customer satisfaction, streamlining processes, making data-driven decisions, reducing risk, and improving collaboration, this technology can transform your supply chain and give you a competitive advantage.[12]​ Investing in real-time tracking can help you improve operational efficiency, reduce costs, and provide superior service to your customers.

A supply chain is a sequence of processes and flows that take place within and between different stages and combine to satisfy a customer's need for a product.

Push/Pull View Processes are divided into two categories depending on whether they are executed in response to a customer request or in anticipation of it.

Cycle vision. The processes are divided into series of cycles, each carried out at the interface of two successive stages. Each cycle occurs between two successive stages of a supply chain. Not all supply chains have the same cycles (For example, some manufacturers who sell through e-commerce do not have the finished product replenishment cycle in their supply chain).

Some examples of these cycles are:

The logistics sector's investments in artificial intelligence are beginning to gain weight in the industry. The benefits of the contribution of AI in the Supply Chain are clear: cost optimization, risk mitigation, greater efficiency in operations, better forecasts, faster deliveries thanks to route optimization and more optimal personalization for the end customer. Artificial intelligence applied to demand planning[14]​ allows for much more precise inventory management. Various case studies show reductions in forecast errors of between 20% and 50%,[15]​ which translates into fewer stockouts and less excess inventory.

The management of data on operations, together with an artificial intelligence system that seeks constant optimizations of processes and operations, is a great benefit. However, the investments required in this field mean that they are not accessible to all companies.