Supply chains have experienced enormous changes over the past decades, and integrating decisions have been made in different departments like production, packaging, logistics and distribution to customers. This enables more efficient chain management and decision making, with a better perspective of all operations.
Nowadays, supply chain management takes analytical planning processes into account, which affects both the production and the demand aspects. These have become established business processes in many companies, thanks to the implementation of monitoring and digitization systems, which generate a large amount of data and information.
The demand for a greater amount of information generates the need for more evolved analytics, which can handle a large number of variables, both internal and external. These variables may affect the conditions of production, demand or distribution, such as weather, socioeconomic indicators, raw material costs and competitive products.
The generation and analysis of data allows to improve the speed and precision of the supply chain management. Automation and predictive analytics technology increase the ability to make good decisions in uncertain scenarios. This does not have to be complex, thanks to the application of artificial intelligence, adapted to the specific needs of each supply chain.
ec2ce can provide this predictive analytics technology for supply chains. This technology allows the specification of the future demand for each client and type of packaging, which shortens the product delivery times and increases the quality of the service. The company can model complex relationships and obtain an accurate response.
It also allows more flexible planning which better adapts to market dynamics, variations in demand and changes in stocking for factories and exporters, because it can anticipate on production and demand, and therefore the fit between both. This minimizes planning cycles and waiting periods.