Centralized Shipping Document Management
What we deliver
The Problem (Before)
Shipping documents (PODs, BOLs, customs declarations, invoices, compliance certificates, gate receipts, temperature logs) are scattered across carrier portals, email inboxes, driver apps, and broker systems. Manual retrieval delays freight audit by weeks. Missing documents block customs clearance, trigger payment holds, and create compliance risk. There is no single system of record linking documents to shipments, and no way to search, classify, or validate documents across modes and carriers at scale.
Transportation Manager, Import/Export Manager, Director, Supply Chain Excellence
The Outcome (After)
FourKites provides a unified document management layer across all modes and carriers — powered by Polly for autonomous collection, AI for classification and validation, and the Shipment Twin for contextual linkage — so every document is collected, classified, linked, searchable, and audit-ready.
Document management in logistics is manual, fragmented, and reactive — teams chase carriers for PODs, search email for BOLs, and manually match documents to shipments. Polly handles the entire document lifecycle autonomously: proactive collection, fuzzy matching, AI classification, validation, and linkage to the shipment record. No other visibility platform offers an AI document agent that collects, classifies, validates, and links shipping documents across all modes and carriers without manual intervention.
Polly
How it works
Polly autonomously collects documents across email, carrier portals, API, EDI, and fax; AI classifies and validates each document; every document is linked to its Shipment Twin and searchable by any dimension; Sam extracts structured data from unstructured documents; and document-available events trigger downstream workflows like payment release and customs filing.
Carrier document submission benchmarks (response time, completeness rate by carrier)
Document availability patterns by mode and carrier type
Network-wide POD collection rate benchmarks
Missing document risk scoring by carrier/lane
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
Document management in logistics is manual, fragmented, and reactive — teams chase carriers for PODs, search email for BOLs, and manually match documents to shipments. Polly handles the entire document lifecycle autonomously: proactive collection, fuzzy matching, AI classification, validation, and linkage to the shipment record. No other visibility platform offers an AI document agent that collects, classifies, validates, and links shipping documents across all modes and carriers without manual intervention. The intelligence layer is what creates the gap. Building the basic capability is straightforward. Building it on top of 11 years of cross-company global movement intelligence is what cannot be replicated with software alone.
Shipment Twin, Order Twin, Facility Twin
Polly executes the workflow. Every action recorded with full decision trace.
Cross-company movement intelligence powering every decision
Custom Insights: Document collection rate dashboard (by carrier, mode, document type); Custom Insights: Document compliance scorecard by carrier
Communication and Document Automation
- Intelligent Multi-Channel Notifications
- Automated POD and Document Collection
- One-Click External Shipment Sharing
- Tracking Data Source Transparency
- Network Partner Inbound Visibility
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Every truckload shipment tracked in real time with ML-powered ETAs that improve every day.
LTL and parcel unified under one tracking view regardless of carrier.
FedEx visibility elevated to mission-critical grade through exclusive direct integration. Exclusive "FedEx Network" - Probability to Recover value that's a holistic network derived probability indicator for "recovery" of a late shipment. An earlier validator to focus on recovery as shipment will be late.
One billion hours of operational work completed by AI agents over the next decade.
