AI Skills Library for Freight
OFreight AI is built from specialized freight AI skills. Each skill understands a specific part of freight, logistics, shipping, warehousing, customs, or finance.
These skills can be combined to create customized AI solutions for each company.
1. Quote Request Understanding
AI that understands freight quote requests
AI reads customer quote requests from emails, portals, chat, PDFs, Excel files, and forms.
It extracts the key shipment details: origin, destination, transport mode, Incoterms, commodity, weight, volume, dimensions, container type, cargo readiness date, special requirements, and customer instructions.
2. Document Extraction AI
Turning freight documents into usable data
This skill extracts structured data from freight, logistics, commercial, customs, warehouse, and finance documents.
It works across commercial invoices, packing lists, bills of lading, air waybills, arrival notices, delivery orders, certificates, customs documents, vendor invoices, and customer invoices.
3. Freight Decision Engine
Better decisions across rates, routes, and margins
The decision engine helps AI agents choose the right action based on business rules, customer profile, pricing logic, carrier options, transit time, margin, risk, and service quality.
It supports rate selection, vendor selection, quotation strategy, routing, approvals, exception handling, and profitability checks.
4. Commercial & Shipping Documents
AI that reads the documents freight teams live in
OFreight AI understands commercial and shipping documents used across customs, finance, operations, documentation, compliance, and shipment validation.
This includes MBLs, HBLs, AWBs, sea waybills, shipping instructions, delivery orders, arrival notices, manifests, booking confirmations, container releases, and draft BL reviews.
5. Customs & Finance AI
From customs data to invoice matching
Customs AI reads commercial and shipping documents to prepare declaration data, detect missing information, and validate shipment details.
Finance AI understands invoices, statements, vouchers, receipts, debit notes, credit notes, and payment data for cost matching, revenue matching, profit checks, payables, receivables, and payment allocation.
6. Email & Communication AI
Freight communication handled with context
This skill understands, writes, and responds to freight-related communication across customers, vendors, agents, and internal teams.
It can handle customer replies, vendor rate requests, shipment updates, booking confirmations, document follow-ups, payment reminders, and internal task updates.
7. Browser & Software Automation
AI agents that can work inside real systems
OFreight AI can work with browser-based platforms when APIs are not available, including carrier portals, customs portals, port systems, airline portals, shipping line websites, trucking platforms, warehouse platforms, government systems, and customer portals.
It can also connect with freight management systems, ERPs, CRMs, accounting systems, warehouse systems, and transport management systems through APIs, browser automation, imports, exports, email parsing, and workflow triggers.
8. Customer Knowledge RAG AI
Company knowledge available to every AI agent
This skill connects AI agents to company knowledge, historical shipments, customer SOPs, contracts, FAQs, tariffs, internal policies, and operational rules.
It supports customer service, sales, operations, finance, internal support, training, and compliance.
9. Data Validation & Error Detection
Catching mistakes before they become problems
AI checks freight data for inconsistencies, missing details, incorrect values, duplicate records, and operational risks.
It can detect wrong container numbers, missing seal numbers, inconsistent weights, incorrect Incoterms, missing HS codes, wrong customer rates, missing vendor invoices, negative margins, and duplicate invoices.
10. Multi-Agent Collaboration Engine
Multiple AI agents working together across departments
OFreight AI allows different agents to work together across sales, procurement, operations, documentation, customs, finance, and customer service.
A sales agent can receive a quote request, ask the procurement agent for buying rates, check customer history with the knowledge agent, use the decision engine to select the best option, create the quotation, and send it to the customer for approval.