We build private, auditable workflows for 3PLs and distributors that extract shipment data, compare rates and invoices, route exceptions, and write updates back to transportation, warehouse, and accounting systems.
BOLs, packing slips, POs, and invoices arrive in different formats and still need to land cleanly in your systems.
Growth stalls because your team becomes the bridge between the TMS, WMS, ERP, and inbox.
Shipper, rate, route, and customer data should not be pasted into public AI tools.
Industry document automation research names bills of lading, shipping manifests, invoices, customs declarations, and delivery receipts as high-volume logistics documents.
Logistics document automation research connects manual document processing to slower operations, more errors, delayed shipments, and weaker supply chain visibility.
Industry document automation research highlights customs paperwork, proof-of-delivery documentation, handwritten notes, multi-document packets, and field-level traceability for auditability.
Extracts shipment details from messy documents so your team spends less time on data entry.
Drafts responses to "where is my shipment?" emails so customers get faster updates.
Compares invoices against rates and accessorials so fewer billing errors slip through.
Prioritizes missing PODs, rate mismatches, late shipments, and customer escalations.
Extracts delivery confirmation details from PODs and receipts so shipment status and billing can be verified faster.
Back-office staff manually reconcile BOLs, PODs, invoices, carrier emails, spreadsheets, and system exports.
The workflow extracts shipment facts, compares rates and documents, routes exceptions, and prepares approved updates for TMS, WMS, ERP, or accounting systems.
Private workflows can use hosted private-cloud inference, dedicated cloud or VPC deployment, or local/on-prem inference when shipper, rate, or route data cannot leave your environment.
Avoid billing surprises with clear workflow-based packages. We do not penalize you for using more AI like other vendors.
Every result can include source documents, comparison logic, exception notes, approval status, and write-back history.
We choose one BOL, POD, invoice, or exception process with clear operating impact.
We configure extraction, source evidence, exception routing, and safe write-back boundaries.
You see exception cycle time, manual steps removed, review quality, and the next workflow roadmap.
Founder, Performance AI Lab | Former Meta SuperIntelligence Lab
With 25 years in software engineering and enterprise infrastructure, I've built systems for some of the world's most demanding environments. I founded Performance AI Lab to bring private, auditable AI workflows that reduce manual work and preserve operating know-how to mid-market operators.
If your team is buried in documents, emails, approvals, spreadsheets, or software handoffs, we can help identify the first workflow worth automating.
Private AI workflows for the work that falls between your documents, apps, approvals, and operating knowledge.