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METHOD AND SYSTEM FOR COLLECTING SUPPLIER PERFORMANCE DATA AND IDENTIFYING STATISTICALLY-SIGNIFICANT PERFORMANCE EVENTS ACROSS A PLURALITY OF CUSTOMER BUSINESSES
METHOD AND SYSTEM FOR COLLECTING SUPPLIER PERFORMANCE DATA AND IDENTIFYING STATISTICALLY-SIGNIFICANT PERFORMANCE EVENTS ACROSS A PLURALITY OF CUSTOMER BUSINESSES
A method and system for the collection of supplier performance data and the identification of out-of-control conditions, shifts, and trends. Supplier performance data is collected by a plurality of businesses (customer businesses) on an electronic business network using a centralized web application and server. Once the web application saves the supplier performance data, computer code on the server statistically analyzes the data to identify statistically significant out-of-control conditions, shifts, and trends. If the computer code identifies an out-of-control condition, shift, or trend in a supplier's performance, the computer code notifies all of said supplier's customers within the electronic business network. The present invention increases supply chain visibility beyond a single customer business thereby improving supply chain performance and reducing supply chain risk.
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