It's time to look closer at the quality of your global supply chain.
The logistics involved to review, store and later retrieve supplier inspection data is a daunting one. Not only are the inspection reports prone to error, but detecting shifts or trends in product quality, especially from lot to lot, is time consuming and rarely achievable.

Are these issues troubling you?
  • Getting inspection data from suppliers is cumbersome
  • Supplier inspection data is prone to error
  • Supplier data must be entered into a separate statistics program to measure process capability
  • Inspection data is not readily available throughout your organization
  • You are being bogged down in paperwork - Certificates of Compliance, Lab Reports, First Article Inspection Reports, and PPAP Documents
  • Supplier quality is inconsistent SaaS (Software as a Service) our Supply Chain Web Portal has been proven to solve the logistics challenge while providing real time statistical data without the burden of traditional software solutions. Here are just a few features and benefits:
  • Prevent a supplier from shipping out of tolerance parts 24/7/365
  • Automatically approves vendor shipments based on your acceptance criteria
  • Track parts by date code, lot number, or serial number
  • Monitor process capability (Trending of Cpk, Cp, Ppk, Sigma, Mean and Range) Includes automatic warnings
  • Store and retrieve documents easily using our Secure Online Document Center
  • Its Web-Based requiring only a web-browser
  • Avoid resource intensive software installations
  • Be up and running within days or even hours
With your suppliers receive instant feedback of out of tolerance conditions as well as unstable processes. Once a supplier uploads their inspection data they receive instant feedback whether the quality of their product meets your predefined requirements, or not.                    
In addition provides:
  • Histograms
  • X versus Upper and Lower Specification Limits
  • X versus Upper and Lower Control Limits
  • Moving Range
  • Normal Probability
  • Historical Trending (Shipment by Shipment)