Supply Resilience

Zero-Touch Supplier Document Processing

Every supplier document processed and linked to orders automatically. Zero manual data entry. For supplier-managed shipments, FourKites creates shipments and updates orders directly from these documents, eliminating manual shipment creation entirely.
Sam
Primary Agent
Sam
Order Twin
Shipment Twin
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Zero-Touch Supplier Document Processing

What we deliver

The Problem (Before)

Supply chain teams manually process thousands of BOLs, invoices, and PODs. Error-prone, time-consuming, delays order-to-shipment linkage.

Who feels this:

Logistics Manager, Supply Chain Operations Manager, Import/Export Manager, Supply Chain Manager

The Outcome (After)

Every supplier document processed and linked to orders automatically. Zero manual data entry. For supplier-managed shipments, FourKites creates shipments and updates orders directly from these documents, eliminating manual shipment creation entirely.

What makes this different:

Most solutions digitize documents but still require humans to create shipments and link them to orders. This system processes the document, creates the shipment, and closes the loop autonomously.

Sam
Primary Agent

Sam

Reads and processes shipping documents from any format. Creates shipments from BOLs. Links documents to orders without manual entry.
70%
reduction in manual processing
95%+
extraction accuracy

How it works

The building blocks behind this outcome.
What Happens

Sam reads supplier emails, extracts data from BOLs, invoices, and PODs via OCR, creates shipments and transport orders, and links them to POs automatically without human data entry.

The Intelligence Behind It
  • Supplier document format patterns across the network
  • Carrier BOL format recognition from 500K+ integrations
  • Supplier performance benchmarks (on-time, quantity accuracy)

This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years. No single company's data could produce it.

Why This Cannot Be Replicated

Most solutions digitize documents but still require humans to create shipments and link them to orders. This system processes the document, creates the shipment, and closes the loop autonomously. The intelligence layer is what makes the difference. Building the basic capability is straightforward. Building it on top of 11 years of cross-company supply chain intelligence, with continuous learning from 2.5 million agent actions per month, is what took a decade and cannot be replicated with software alone.

Digital Twins

Order Twin, Shipment Twin

Loft

Sam executes the workflow. Every action recorded with full decision trace.

FourKites Graph

Cross-company intelligence powering every decision

FourSight AI
  • FourSight AI: "Which suppliers had the worst on-time performance this quarter?"
  • Custom Insights: Supplier reliability dashboards

Inbound Operations Transformation

Zero-Touch Supplier Document Processing is one outcome in a broader transformation of your inbound operations. When deployed alongside these outcomes, you move from manual, reactive inbound processes to fully autonomous execution. Sam handles this outcome. Tracy follows up on carrier exceptions. Alan schedules appointments. The Inventory Twin projects downstream impact.
  • 24/7 Autonomous Carrier Follow-Up
  • Instant Supplier Onboarding
  • ETA-Driven Appointment Automation
  • Vendor Managed Loads Pre-Arrival Intelligence
  • Inbound Order-to-Delivery Intelligence

Validation

Deployment Evidence

Live in enterprise production, collecting and validating supplier documents automatically.

Expected Impact Range

Manual document follow-up cut sharply and collection times shortened, with fewer payment and approval delays from missing paperwork.

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One billion hours of operational work completed by AI agents over the next decade.

The supply chains that adopt autonomous execution in the next 24 months will define the competitive standard for the next decade. The ones that do not will spend that decade trying to catch up.
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