Logistics ops · Production

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

The problem

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.

Workflow diagram · grounded in source
1
BoL document received per shipment
trigger
“For each shipment the company sends or receives, a general ledger (GL) code and cost center are determined using information found in the shipper address and consignee address fields on the BoL”
2
IDP extracts BoL fields
ai_action
“Our next-generation IDP leverages the latest AI and on-demand data processing crowd to extract information from any document quickly and with guaranteed quality”
3
Validate charges against weight
validation
“Validate that the amount charged matches line items by weight”
4
Validate shipper via external data
validation
“Validate shipper name and address using external data sources”
5
Flag duplicate submissions
validation
“Improve automated flagging of duplicate document submissions”
6
GL code and cost center assigned
output
“This information gives the company control and visibility into direct transportation costs, and associates spend with specific departments”
Reported 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.

Reported metrics
GL code and cost center matching error reduction95%
Cost savingsmore than $5M
Process automation85%
Invoices processed weekly26k+
Show all 5 reported metrics
GL code and cost center matching error reduction95%
cost savingsmore than $5M
process automation85%
invoices processed weekly26k+
time from kickoff to first processing output3 weeks
Reported stack
Super.AI IDP
Source
https://super.ai/case-studies/automating-straight-bill-of-lading-document-processing
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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 w…

What tools did this team use?

Super.AI IDP.

What results were reported?

GL code and cost center matching error reduction: 95%; Cost savings: more than $5M; Process automation: 85%; Invoices processed weekly: 26k+ (source-reported, not independently verified).

How is this logistics ops AI workflow structured?

BoL document received per shipment → IDP extracts BoL fields → Validate charges against weight → Validate shipper via external data → Flag duplicate submissions → GL code and cost center assigned.

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