The Bottom Line (For Busy IT & Ops Leaders) No re-platforming required.  LunaPath connects to your existing TMS and visibility stack via APIs, webhooks, and secure mailboxes. Your system of record stays your system of record.  Our agents write back clean, validated data; no shadow databases. Security first.  SOC-aligned controls, role-based access, encryption, and audit trails for every action. Built-in guardrails.  Clear scope, human-in-the-loop escalation, rate-limited outr

(Webinar Recap) TL;DR Agents ≠ chatbots.  True agents decide, reason across multiple steps, and take actions across systems. Value compounds with orchestration.  The Agent Maturity Curve moves from single-task agents → multiple agents → agents that coordinate and share context. Readiness matters:  data quality, connected systems, and continuous learning determine outcomes. Trust is designed, not assumed:  disclosure, rate-limited outreach, language adaptability, audit trails,

Artificial intelligence isn’t on the horizon for freight it’s already in the cab, the control tower, and the TMS. From predictive analytics to automated communication, AI is streamlining logistics operations  and closing long-standing efficiency gaps. But the real transformation isn’t coming from broad, “do-everything” systems; it’s coming from focused AI agents  that handle specific, repetitive tasks faster and more consistently than humans ever could. According to a recent

AI is becoming an everyday part of freight operations. It's being used to make calls, retrieve documents, send updates, and write directly into TMS systems. But as adoption accelerates, one question keeps coming up: " How do we stay in control? " For AI to scale responsibly in freight, it needs more than performance. It needs guardrails. Clear policies, permissions, and auditability ensure automation doesn't just work fast, but it works right. At LunaPath, we believe the winn

Every major shift in logistics follows the same pattern: new tools handle the heavy lifting, and people move up the value chain. Forklifts didn't replace warehouse workers. They made them more productive. TMS systems didn't replace dispatchers. They helped them manage more freight with fewer errors. Now it's AI's turn. Tactical AI agents are forklifts for data. They lift the repetitive, time-sensitive work that clogs operations. Meanwhile, humans steer by making judgment call

In freight brokerage, every minute matters. And every manual task adds up. Labor represents nearly 40% of brokerage expenses, over $30 billion annually across the U.S. truckload market. With margins already tight, even modest efficiency gains can meaningfully reduce your cost per load. AI automation is changing that equation. Instead of requiring expensive platform overhauls, tactical AI agents eliminate the repetitive, time-consuming work that bogs down your team. Understan

The logistics industry stands at a critical inflection point. Traditional dispatch operations and business process outsourcing (BPO) models that dominated for decades are giving way to AI-powered logistics automation . At LunaPath, our decades of combined expertise in freight technology and operations have positioned us to lead this transformation. The Evolution of Freight Dispatch Operations Brokerage dispatch operations have undergone several transformations over the past t

Artificial intelligence is reshaping logistics, but most companies are missing the real opportunity. They're automating legacy processes instead of reimagining them with freight AI agents  and multi-agent systems designed for modern supply chains. The reality? Without proper data governance and process optimization, even the most advanced AI agents will underdeliver. LunaPath helps logistics leaders build the foundation for AI transformation, starting with the fundamentals th

As the industry shifts toward multi-agent orchestration, understanding which platforms deliver the fastest return on investment has become critical for freight brokers and third-party logistics providers. Earlier this year, project44 launched its multi-agent orchestration platform , uniting leading AI partners including LunaPath, HappyRobot, and VUUMA. This ecosystem enables logistics teams to combine tactical execution, data intelligence, and strategic decision-making in one

Freight operations run on repetition. Check calls, emails, documents, follow-ups - they consume hours every day. Most teams want to adopt...

The logistics industry has been chasing a dream for years: one powerful AI agent that handles everything. Quote rates, call carriers,...

Proof of Delivery (POD) retrieval is one of the most frustrating and costly parts of freight operations. Every shipment requires a POD,...

Proof of delivery (POD) documents are essential in freight operations, but they create endless manual work. Teams spend hours chasing...

Chicago, IL - Thursday, September 25  - LunaPath, the tactical AI agent platform transforming freight operations, today announced it has...

The freight industry has moved past experimentation with AI. We're now in the era of orchestration - where multiple AI agents work...

Transcript: Welcome to the deep dive. Today we're really cutting through the noise to look at the agentic AI overhaul. It's, uh it's a...

Summary Founded by logistics tech veteran Abhishek Porwal to solve the freight industry’s $30B+ labor burden. AI agents automate...

Overview project44 (p44) partnered with LunaPath to unlock a capability it previously considered out of reach: scalable, automated...

The freight industry has been chasing a dream: the "one AI agent to rule them all." Imagine a single super-agent that could negotiate rates, dispatch loads, chase documents, and reconcile invoices, all while you sleep. It sounds perfect. But here's the reality: when AI tries to do everything, it usually does nothing well. The real winners in freight automation aren't building one massive bot. They're assembling a team of specialists. The Super-Agent Promise (And Why It Falls

If you're a freight broker, you've probably heard the question that's keeping everyone in logistics up at night: "Will AI replace freight...