Supply Chain Intelligence (SCI) has become the forefront of the forehead in the field of supply chain technology. SCI technology can extract effective information from the SCM system and the large amount of data that is captured.
SCM mainly focuses on improving the operational efficiency of purchasing, manufacturing, distribution, etc. of the company's internal and entire supply chain. SCI technology applies the concept of business intelligence to SCM to provide strategic information for decision makers. This information coverage has a wide range, including any information of reconfiguring core functions of procurement, production and distribution activities, and measuring information of supply chain to reduce costs, improve efficiency. Before the SCI appeared, the supply chain data collection was a very headache, but it had to be performed, and the decision makers were used to reconfigure the supply chain after analyzing the large amount of data. The multi-dimensional electronic data sheet technology based on the mainframe has played an important role in analysis based on statistical analysis tools based on personal computer. But the biggest challenge for building a supply chain analysis network is to collect data from the middle path.
