TMS Connectivity
Connect LaneSurf with major transportation management systems including McLeod, MercuryGate, Tai, Turvo, Revenova, Aljex, Tailwind, and other platforms, with production integration targeted in under 10 days.
Connect your production TMS to LaneSurf’s AI freight automation layer without slowing live operations. Our TMS Production Integration Services help brokerages and 3PLs sync load context, carrier sourcing, booking handoffs, tracking updates, and audit trails so teams can automate more work, reduce manual re-entry, and start moving faster with a production-ready integration path for every load cycle.
Connect core freight systems to LaneSurf automation with production-ready TMS, data, compliance, and workflow integrations.
Connect LaneSurf with major transportation management systems including McLeod, MercuryGate, Tai, Turvo, Revenova, Aljex, Tailwind, and other platforms, with production integration targeted in under 10 days.
Automate standard freight EDI flows including load tenders, acceptances, status updates, invoices, and acknowledgments to reduce manual document handling and shipper or carrier communication errors.
Link freight operations with financial systems such as NetSuite, SAP, Microsoft Dynamics, Oracle, Sage, and modern cloud ERPs for settlement, invoicing, and reporting continuity.
Integrate DAT One, Truckstop, and other load board workflows so AI sourcing can search, post, contact carriers, and ingest responses without duplicate manual entry.
Connect compliance providers such as RMIS, MyCarrierPortal, Highway, Carrier Assure, and related portals so carrier vetting happens automatically before booking.
Unify sourcing, booking, tracking, documentation, exception management, and settlement-ready handoffs by connecting the load lifecycle directly to LaneSurf automation.
LaneSurf reviews your current TMS, load lifecycle, carrier sourcing process, booking handoffs, compliance rules, and escalation paths. This step defines which data must move, which workflows should automate first, and where human review remains required.
LaneSurf helps freight teams connect production systems to automation without losing operational control.
Full TMS integrations are designed to be production-ready in under 10 days.
AI workflows understand freight lanes, carrier calls, compliance checks, rates, and booking handoffs.
Automate carrier calls, manage loads efficiently, grow your brokerage, and close more deals.
SOC-2 Type II in review with AES-256 and TLS 1.2+ protections referenced.
Built for freight teams connecting automation to live operations.
LaneSurf is built for freight brokerages, logistics companies, and transportation brokers that need automation connected to real operating workflows, not disconnected demos. The platform focuses on AI-powered carrier calls, load management, tracking, and production-ready integrations that help teams scale without simply adding more carrier sales headcount. With cloud SaaS onboarding in under 48 hours and TMS integration targeted in under 10 days, LaneSurf gives operations and IT leaders a practical path from current processes to automated execution. Its broader vision is to streamline freight operations with AI-powered automation while keeping SOPs, compliance rules, pricing thresholds, and human escalation points at the center of every workflow.
TMS integration connects your transportation management system with another platform so load, carrier, booking, tracking, and workflow data can move automatically between systems. For LaneSurf, TMS integration lets AI agents access live load context, source carriers, negotiate, vet, book, and hand off updates without reps manually copying information between the TMS, spreadsheets, email, and call logs.
Get answers about connectors, timelines, workflow scope, and production readiness.
Security controls under independent review.
Built specifically for freight operations.
AES-256 and TLS 1.2+ safeguards.
Share your TMS environment, workflow goals, and integration priorities. LaneSurf can walk you through connector scope, implementation timing, and a production-ready path for AI freight automation.
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