Chicago-based project44, a provider of supply chain visibility services, announced today it has acquired LunaPath.ai, an AI-native logistics automation company, specializing in orchestration and execution-focused agents.
A purchase price was not provided for this all-cash transaction.
Also based in Chicago, LunaPath serves as an execution layer for modern supply chains, noted project44. The company has more than 50 purpose-built agents and preconfigured playbooks embedded across phone, e-mail, and operational workflows, the company added. It focuses on resolving daily breakdowns, which consume operator time and erode margin, with its agents focused on various action items, including missed pickups, appointment schedules, and document gaps.
Company officials said this represents project44’s second strategic AI acquisition, in addition to 2021’s acquisition of ClearMetal.
Jett McCandless, project44 Founder and CEO, told LM that there were various factors that led to project44 acquiring Luna.ai, while noting that project44 evaluated eight AI agent providers over a 16-month period, in live supply chain operations.
“LunaPath consistently stood out in high-volume voice and messaging execution workflows,” said McCandless. “The results spoke for themselves. We’ve spent more than a decade building the world’s largest, most accurate, real-time logistics data graph. Our initial AI acquisition of ClearMetal in 2021 gave us predictive intelligence on top of that. But knowing what’s happening and actually doing something about it are two different problems. Our customers still had humans closing the gap between insight and action. LunaPath lets us close that gap automatically, at global scale, while removing friction from the process entirely. This was the logical next step in our AI Agent Orchestration strategy: evolving the platform from intelligence to autonomous execution. No one else in this industry is doing that.”
When asked about the main benefits of this acquisition for project44 customers, McCandless cited better cash flow, greater efficiency, and lower costs as being the results of what faster decisions, fewer disruptions, and autonomous operations deliver for shippers.
Expanding on that, he noted that the biggest drain isn’t the big exceptions, instead, it is what he called the constant volume of small ones: missed check calls, delayed confirmations, documents that aren’t where they need to be, and carriers that need chasing.
“LunaPath’s agents handle that work automatically, grounded in live shipment data and historical performance patterns from the world’s largest, most accurate, real-time logistics data graph,” said McCandless. “Firefighting stops and our customers start focusing on what actually requires human judgment. And because project44 takes a multi-vendor AI Agent Orchestration approach, shippers aren’t locked into a single AI provider. Purpose-built agents handle specific workflows while everything stays unified under one governance and analytics layer. That means full visibility into what the agents are doing, why they’re doing it, and how it’s performing, without adding complexity to your operations. Lower cost per load, faster resolution cycles, and measurable margin improvement, at the scale global shippers actually operate at.”
As for what LunaPath brings to project44 that was needed, or missing, McCandless said that most AI in supply chains operate blind and does not know what’s happening in the shipment, doesn’t understand the context, and pushes recommendations that someone still has to act on manually.
“LunaPath’s agents operate inside the world’s largest, most accurate, real-time logistics data graph,” he said. “They understand what’s happening, why it matters, and what to do about it before they act. These agents handle the work that consumes logistics teams every day: carrier check calls, proof-of-delivery retrieval, appointment confirmations, claims initiation, and exception resolution. They don’t surface a recommendation and wait. They execute. At the orchestration level, LunaPath gives us the ability to unify specialized vendor agents into one coordinated system under centralized governance. Purpose-built agents for specific workflows, all operating together rather than in silos.”
