Customer Data Supply Chain is defined as the set of strategies and tools that enable the unification and standardisation of customer data and the integration and optimisation of supplier information with the goal of enriching different profiles from an omnichannel perspective.
In many cases when people talk about Customer Data Supply Chain they are also talking about Supply Chain 4.0, precisely to refer to the fact that the logistics sector is also going through a phase of radical transformation in which the role of data, machine learning and artificial intelligence is increasingly crucial.
Also within the supply chain, big data analytics and the use of A.I., are playing a key role in improving the management of the entire flow and, therefore, the service provided: delivery times are improved and the communication gap between manufacturers and suppliers is reduced.