Data, Artificial Intelligence or e-SCM . This increased visibility allows companies to optimize the management of their stocks and supplies , while strengthening their agility and responsiveness to market fluctuations.
Improvement through digitalization also promotes collaboration between the various players in the supply chain . For example, it facilitates the exchange of information and helps to improve the quality of supplies. This ultimately results in better end-customer service and a reduction in the risk of stock shortages .
The digitalization of brazil phone data the supply chain also collaborates with the Corporate Social Responsibility strategy by offering organizations to reduce their impact on the environment. How? By optimizing loads and reducing the number of trucks on the roads, companies reduce their greenhouse gas emissions and thus contribute to the fight against climate change.
To successfully digitally transform your supply chain, several challenges arise. These affect both technical tools and human factors. Here are the main essential issues to consider.
The information system and data
These two systems are crucial for the digitalization of the supply chain. A robust, flexible system is needed, capable of collecting, storing and processing data efficiently . Data availability and quality are paramount, requiring efforts to clean and standardize them. Clear governance is essential, defining rules for data collection, storage and analysis. This ensures the security and confidentiality of data , facilitating its use by stakeholders. In short, a solid technical foundation is essential to initiate this digital transformation.
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Current challenges of the digital supply chain
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