Quote intake and qualification
Capture quote requests from email, portals, spreadsheets, and forms, then extract origin, destination, mode, Incoterms, and cargo details.
Use Cases
AI use cases built for freight operations
OFreight AI automates the repetitive and judgment-heavy work inside freight forwarding, shipping, logistics, customs, warehousing, finance and customer service teams.
Vendor rate collection
Request rates from carriers, agents, trucking vendors, and warehouses, then compare service, transit, and margin impact.
Shipment file creation
Auto-create shipment records, task lists, and operational checkpoints when a booking is confirmed.
Document extraction and checking
Read invoices, packing lists, bills of lading, waybills, and customs documents into structured operational data.
Customs preparation
Draft declaration data, identify missing fields, and support customs brokers with cleaner, more complete records.
Finance automation
Match vendor invoices, prepare customer invoices, flag low-margin shipments, and support collections workflows.
Shipment updates and follow-ups
Send customer updates, collect missing documents, and keep stakeholders aligned without manual chasing.
Management reporting
Summarize shipment volume, delayed quotes, exceptions, profitability, and open actions for management teams.
Why these use cases matter
Freight teams lose time in email, document handling, rate chasing, shipment updates, and repeated coordination between departments.
OFreight AI turns those workflows into structured, auditable AI execution so teams can move faster without losing operational control.
Turn repetitive freight workflows into autonomous execution.
Use cases are where the platform becomes concrete: quoting, customs, operations, finance, and customer communication.
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