Example of a supply chain from manufacturer to seller

Within this context, the biggest risks to a company are not restricted to disruption or glitches within the organization. Instead, a company’s ability to perform, depends strongly on its upstream Supply Chain partners. Thus, firms should not only seek opportunities to enhance competitiveness through internal efficiency improvements, they should also focus on their upstream Supply Chain risks and opportunities.

Through the application of suitable technologies such as data mining (DM), big data (BD), machine learning (ML) and artificial intelligence (AI), risks can be detected and controlled more quickly. These new technologies provide new opportunities in SCRM to turn data into correlation and create new knowledge.

„Supply Chain Intelligence“ (SCI) is based on extracting and generating intelligent and meaningful information for decision makers from the enormous amounts of data generated and captured by ABRAMS world trade wiki. Data collected across the entire Supply Chain is analyzed and the result from the analysis can be turned into strategic information for the organization.

It may provide a solid basis as a tool of competitiveness for businesses to increase transparency and performance in the Supply Chain.

It enables companies to have a 360-degree view of their businesses for new opportunities to increase revenue, to cut costs and enhance customer satisfaction. Supply Chain Intelligence is a unique systematic process that involves people’s capability to transform raw data into actionable intelligence, focusing on the integration of the supply chain between Supply Chain partners, while creating value and proving a sustainable competitive advantage for the company.