Case Study: a medical products company cuts BoL processing errors and saves $5M with super.AI

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Preview of the Medical Products Company Case Study

Automating Straight Bill of Lading (BoL) Document Processing

The medical products company, a global leader with over $21B in revenue, sought to improve its Transportation Spend Management by automating data extraction from freight bills of lading. Incomplete information was disrupting cost center assignments and making it difficult to manage logistics spending. They partnered with super.AI to address this challenge using its Intelligent Document Processing (IDP) service.

Working with super.AI, the company automated its BoL document processing. The solution reduced errors in GL code and cost center matching by 95%, leading to over $5M in cost savings. The super.AI platform achieved 85% process automation and was scaled to handle over 26,000 documents weekly, with the first output delivered just three weeks after kickoff.


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