Ocean D&D Invoice Recovery
What we deliver
The Problem (Before)
Carriers submit detention and demurrage invoices as PDFs. Operations teams manually extract container numbers, billable days, per-diem rates, and last-free-day calculations, then cross-reference against TMS data, FourKites tracking timestamps, and contract terms to identify overcharges. Each invoice takes 30-60 minutes; unjustified charges go uncontested due to volume.
D&D Analyst, Transportation Manager, Import Director
The Outcome (After)
FourKites extracts invoice data via document AI, reconciles against FourKites tracking timestamps (gate-in/out, container dwell), contract terms (free days, per-diem rates, calendar-vs-working-day rules), and auto-generates dispute packages with evidence for invalid charges.
FourKites uniquely combines real-time container tracking timestamps with contract-level rate data and AI document extraction, providing the three data sources needed for automated D&D dispute in a single platform.
How it works
By automating the extraction, reconciliation, and dispute generation for D&D invoices, FourKites converts a manual, error-prone process into an autonomous financial recovery workflow.
Carrier contract data, port-level D&D benchmarks
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.
FourKites uniquely combines real-time container tracking timestamps with contract-level rate data and AI document extraction, providing the three data sources needed for automated D&D dispute in a single platform. The intelligence layer is what creates the gap. The basic capability is buildable. 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 cannot be replicated with software alone.
Shipment Twin, Order Twin
Cross-company intelligence powering every decision
D&D spend analytics, dispute success rate tracking
Claims and Revenue Recovery
- Automated Retailer Penalty Dispute
- Automated OS&D Claims Resolution
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Lower OTIF penalties and protect revenue by catching at-risk shipments early instead of disputing chargebacks after the fact.
Every customer gets proactive delivery updates, and repetitive 'where is my order?' calls disappear. Cassie monitors inbound inquiries, auto-resolves WISMO queries by pulling real-time tracking data, and replies with SLA-backed status updates by email or chat, escalating complex cases to a human agent with full context already attached.
Customer pickups scheduled automatically. Dock congestion and wait times cut dramatically.
One billion hours of operational work completed by AI agents over the next decade.
