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Automation in Supply Chain

At a Glance

Machine Learning

Reduced manual processes by developing cloud-based machine learning for supply chain automation

Time Savings

Elimination of more than half of targeted manual work

Process Automation

Provided client an automated machine learning tool capable of processing thousands of tariff packages pages in minutes

Challenge

A large electronics product distributor with more than 300 locations worldwide was experiencing issues and delays with their tariff drawback process. Their objective was to pilot a supply chain automation program for reading import forms and product invoices to extract pertinent information they used in the drawback process. ScottMadden developed a supply chain automation solution that leveraged a cloud-based machine learning service and custom code to generate a structured output paired with federal customs reports to facilitate applications for drawback and reduce manual processing.​

Process

  • Set up cloud architecture and permissions​
  • Scripted API calls to a machine learning service to transform unstructured data into semi-structured data set​
  • Developed custom script for data cleaning to transform semi-structured data to structured data set​
  • Output clean, structured data to CSV for use in existing processes

Result

  • Demonstrated ability to process thousands of pages of tariff packages in minutes​
  • Eliminated more than 50% of manual work​
  • Matching with customs report eliminated risk of missed packages in manual processing​
  • Identified areas where continued manual processing was required using output from the supply chain automation solution

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