For industrial supply chains, the next step after visibility may be an operational layer that can respond to incomplete data and emerging risk. LSP44 is developing that model around AI agents connected to carrier networks and existing logistics workflows.
The company was founded by Jett McCandless, CEO of project44, and focuses on logistics service providers rather than the large shippers served by project44. Its target users include freight forwarders, third-party logistics companies, warehouses and US freight brokers. The platform is intended to connect their established systems to project44’s network and data through LSP44.
Resilience through faster intervention
Industrial logistics often depends on a patchwork of carrier technologies, email exchanges and phone calls. Agentic software can work through APIs where direct integration is possible, but can also communicate with people when it is not. This makes the technology relevant to supply chains that cannot replace every legacy system at once.
One workflow addresses a basic but consequential issue: an invalid truck or licence-plate number can prevent a shipment from being tracked. An agent contacts the carrier’s dispatcher, requests the correct information and returns it to the tracking system. The intervention is small, yet it can restore data needed for planning and customer communication.
Agents can also monitor GPS positions, route deviations and known risk locations. A suspicious pattern can trigger contact with the carrier or authorities, while a human operator decides how the event should be handled. This division reflects an Industry 5.0 principle: automation expands human capability rather than removing human accountability.
From data to industrial outcomes
McCandless says the network covers 282,000 carriers in 194 countries and that project44 has invested more than $1 billion in carrier connectivity and R&D. The aim is to normalise fragmented information and add the context required for decisions.
That context can support resilience by improving exception response, capacity management and inventory planning. CEVA Logistics is cited as using the platform to locate trucks more effectively. Alcon reportedly used lead-time forecasts to reduce inventory by approximately $150 million, according to McCandless.
Automation will not, however, solve weak data governance or poor implementation. Industrial companies must address cybersecurity, privacy, legacy integration and workforce adoption. The strongest results are likely where agents handle repetitive monitoring while people focus on trade-offs, customers and disruptions that cannot be resolved by a predefined rule.
