logistics_ops · healthcare · workflow

super.AI IDP automates Bill of Lading processing for Fortune 500 medical products company, cutting errors 95%

A Fortune 500 medical products company relied on freight bill of lading documents to assign GL codes and cost centers across a global distribution network, but inaccurate or missing shipper and consignee fields disrupted correct assignment and left the company unable to answer key questions about transportation spend.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · BoL document received per shipment
For each shipment sent or received, a freight bill of lading document containing shipper and consignee address fields enters the processing workflow.
Tools used
Super.AI IDP
Outcome

super.AI IDP reduced BoL extraction errors by 95%, achieved 85% process automation, delivered more than $5M in cost savings, and enabled processing of 26k+ invoices weekly — with first-stage output reached in just 3 weeks from kickoff.

Results
Time saved26k+
Volume85%
Cost replaced95%
Source

https://super.ai/case-studies/automating-straight-bill-of-lading-document-processing

How we source this →

Grounding & classification
Source type: vendor customer story
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data extractionidpinvoicemetric backedproduction runtime claimedtools describedvendor confirmedworkflow describedhealthcaremanufacturingautomation ratecost reductioncycle time reductionerror reductionthroughput increasevendor customer storyaccounts payablefinance opslogistics opsdocument to recordextract classify route