Project44 Splits Into Two AI-Native Businesses for Shippers and LSPs
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The signal
Project44 announced a strategic business separation into two focused entities, reflecting fundamentally different buyer personas and purchasing behaviors in the logistics technology market. The original project44 continues serving enterprise shippers with a decision intelligence platform offering TMS, visibility, yard management, and last-mile solutions. The new LSP44 launches as a dedicated, AI-native infrastructure business built specifically for logistics service providers (brokers, forwarders, 3PLs), marking a return to the company's founding customer base established in 2014. The split recognizes that shippers and LSPs operate with entirely different business metrics and priorities.
While shippers focus on OTIF improvements, working capital optimization, and inventory reduction, LSPs prioritize operational efficiency—doing more dispatches with fewer people and finding trucks at lower transactional pricing. This fundamental misalignment had created context-switching challenges for sales and customer success teams. 5 billion shipments and 706 million carrier events daily across North America, Europe, APAC, and Latin America. The company's competitive advantage centers on AI agents built with operational context rather than generic models.
McCandless's critique—"AI agents without context are just guessing faster"—underscores LSP44's differentiation: pre-loaded agents that know carriers, lanes, shipments, exceptions, and customers before taking action. The company has developed an "agent factory" capable of deploying approximately one new agent daily, drawing on over a decade of network building and approximately $1 billion in infrastructure investment.
Frequently Asked Questions
What This Means for Your Supply Chain
What if an LSP adopts LSP44 and reduces dispatch labor requirements by 15-20%?
Model the operational impact if a mid-sized 3PL integrates LSP44's AI agents and achieves a 15-20% reduction in dispatch staff through automation. Simulate the cascading effects on capacity utilization, shipment throughput, cost structure, and competitive positioning. What does breakeven look like, and how does this affect pricing strategy?
Run this scenarioWhat if deployment of LSP44 agents reduces shipment visibility delays from hours to seconds?
Simulate the impact on service levels, customer satisfaction, and exception management if real-time API-driven dispatch visibility (via LSP44's synchronous data graph) replaces batch EDI/email workflows. Model how faster exception detection and response affects on-time performance, claims reduction, and customer retention.
Run this scenarioWhat if shippers and LSPs adopt separate project44/LSP44 platforms—how does interoperability scale?
Model the ecosystem dynamics if enterprise shippers adopt project44 (decision intelligence) while LSPs adopt LSP44 (AI-native infrastructure). Simulate integration points, data flow, potential bottlenecks, and opportunities for competitive advantage. Does the shared backbone support seamless B2B2C workflows at scale?
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