TMS Integrations
Connect LaneSurf to major freight TMS platforms including McLeod, MercuryGate, Tai, Turvo, Revenova, Aljex, and Tailwind, with fast-start support using Excel loads during integration.
LaneSurf helps freight brokers turn carrier operations into an AI-assisted workflow inside and alongside their TMS. Automate carrier calls, sourcing, quote collection, rate negotiation, compliance checks, booking, tracking, and escalations from one cloud SaaS platform. Built for US brokerages, it reduces manual rep workload, improves load coverage, and helps teams scale without adding headcount.
LaneSurf automates carrier-facing workflows across sourcing, booking, compliance, tracking, integrations, and AI-powered communications.
Connect LaneSurf to major freight TMS platforms including McLeod, MercuryGate, Tai, Turvo, Revenova, Aljex, and Tailwind, with fast-start support using Excel loads during integration.
Deploy an AI virtual rep that calls, emails, and texts carriers simultaneously to source capacity, collect quotes, negotiate rates, and execute bookings under your SOPs.
Automate the full source-to-book cycle, including carrier discovery, quote collection, negotiation, compliance vetting, load detail confirmation, and booked-load handoff into your operational workflow.
Find capacity across load boards and carrier databases, contact multiple carriers in parallel, and route qualified, priced responses back to your team for faster coverage.
Run MC vetting, COI verification, authority checks, safety score review, and provider-based compliance rules automatically before booking a carrier on any load.
Replace manual check-calls with AI driver contact, ETA monitoring, shipment status updates, delay detection, and exception escalation with full context in the tracking log.
LaneSurf gives brokers an AI-powered carrier operations layer that works with existing TMS systems, load boards, compliance portals, and communication channels. Instead of asking reps to chase every call, quote, and status update manually, the platform automates high-volume workflows while preserving SOPs, lane thresholds, audit logs, and human escalation for edge cases.
LaneSurf helps brokerages scale carrier work while keeping human control where it matters.
Automates calls, emails, texts, sourcing, booking, tracking, and compliance in one connected platform.
Targets onboarding in under 48 hours, with TMS integration support in under 10 days.
Works with major TMS platforms, load boards, compliance portals, ERPs, and freight EDI workflows.
Uses lane thresholds, SOP-tuned negotiation, audit logs, and escalation rules to protect operations.
Built for modern freight brokerage operations teams.
LaneSurf is an AI-powered freight brokerage automation platform built for US freight brokerages, logistics companies, and transportation brokers that need to scale carrier operations without simply hiring more reps. The platform focuses on the high-friction work that slows brokerage teams down: carrier calls, load sourcing, rate negotiation, compliance checks, tracking updates, and handoffs between systems. By combining AI communication, freight workflow automation, and TMS connectivity, LaneSurf helps operations leaders create a more consistent, measurable, and scalable carrier execution layer. Its vision is straightforward: streamline freight operations with AI-powered automation so brokerages can cover more loads, close more deals, and manage day-to-day execution more efficiently.
A carrier TMS is software that helps freight teams manage carrier-related workflows such as sourcing, tendering, booking, tracking, document handoff, and performance visibility. For brokers, LaneSurf extends that function with AI automation for carrier calls, quote collection, rate negotiation, compliance checks, and booked-load handoff into connected TMS platforms.
Get answers about integrations, onboarding, security, and automation fit.
Security review for enterprise SaaS readiness.
AES-256 and TLS 1.2+ data protection.
US-focused freight automation cloud platform.
Request a LaneSurf demo to see AI freight automation working on real carrier workflows, TMS integrations, and load coverage use cases.
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