A concept that appeared in the world of industry a few decades ago, supply chain 4.0 is experiencing remarkable growth and is constantly evolving. It is based on the integration of the latest technological innovations within the supply chain to optimize its operation. For example, blockchain is used to determine the exact origin of raw materials, while reducing the risk of adulteration. The automation and digitalization of processes, combined with supply chain 4.0, allow for greater agility, security and speed.
Towards a smarter supply chain with supply chain 4.0
Intelligent and technologically advanced, Supply Chain 4.0 is the supply chain of the 21st century. The massive use of new technologies is revolutionizing production and inventory management methods.
Whether it is supply, maintenance or distribution, the balance sheet is very positive for the company. By focusing on digitalization and automation, the supply chain is perfectly in line with current industrial challenges, including:
- optimization of the company’s margins and a reduction in costs;
- better traceability and analysis of data flows;
- perfectly controlled inventory management and tracking of goods;
- the search for agility and competitiveness;
- the need to respond to an increasing number and variety of orders.
Digitalization and automation: which technologies?
The transformation of the supply chain relies heavily on supply chain 4.0 innovations and technology systems. These include:
- blockchain to fight fraud and improve traceability;
- IoT, or Internet of Things, whose real-time control remains the main application in supply chain;
- Big data, which facilitates the analysis of complex data related to transportation or out-of-stock alerts;
- machine learning, which, in conjunction with AI, simplifies decision-making.
Increased process efficiency with predictive analytics
For companies, the marriage between supply chain 4.0 and industry is synonymous with many advantages. This is especially true with predictive analytics. Also known as business intelligence, it guarantees maximum anticipation of risks through the analysis of historical and current data.
Emblematic of the digitalization of professional organizations, it has definite advantages in terms of productivity. Predictive analytics allows supply chain actors to determine what resources are needed at what time. Costs are thus reduced and needs perfectly anticipated.