Enable logistics teams to move from shipment visibility to coordinated execution by embedding intelligence directly within live operational workflows.
Accelerate logistics data readiness through automated pipelines, data standardization, reconciliation, and scalable data engineering architectures.
Establish a reliable, real time data foundation across TMS, WMS, ERP, carrier systems, EDI feeds, GPS data, documents, rate cards, and customer platforms to ensure consistent, accessible, and trusted data for logistics execution.
Designed for Real Logistics Workflows
Pre built, domain ready AI agents that integrate directly into logistics operations, available now from the RandomTrees AI Marketplace.
The BOL DocVerify Agent analyzes Bill of Lading documents, extracts shipment, product, quantity, carrier, terminal, and delivery details, and validates them against ETRM master data and downstream logistics systems. Analysts can review, edit, and provide feedback to improve agent accuracy over time.
The Terminal Processor Agent processes terminal operation data, extracts key movement and inventory signals, and helps teams monitor terminal activity with better accuracy. It supports faster reconciliation between terminal statements, shipment records, and operational systems.
The Dispute Management Agent automates accessorial dispute workflows across suppliers, carriers, data warehouse operators, and reporting analysts. It connects emails, documents, operational evidence, and approval flows to streamline dispute validation and resolution.
The Freight Invoice Validation Agent reviews freight invoices, rate cards, contracts, shipment events, accessorial charges, and proof documents to identify billing mismatches before payment approval. It helps reduce leakage, manual audit effort, and delayed dispute handling.
The Shipment Exception Resolution Agent monitors live shipment events, detects delays, missed appointments, route disruptions, and delivery risks, then recommends the next best action across carriers, operations teams, and customer workflows.


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