Chicago-based project44 has split into two independent businesses as of July 14, 2026: the original project44 serving enterprise shippers, and LSP44—a new AI-dedicated platform for logistics service providers. LSP44 processes 2.3 million shipment events per hour, reduced manual tendering time by 68% in pilots, and launches commercially in Q3 2026. The move reflects accelerating AI adoption among LSPs, which grew 41% year-over-year in 2026 per the 37th State of Logistics Report. Early deployments are underway in Chicago, Dallas, and Rotterdam.
According to www.logisticsmgmt.com, Chicago-based project44 has formally split its business into two independent entities as of July 14, 2026. One retains the project44 brand and continues serving enterprise shippers with Decision Intel solutions; the other operates as LSP44, a newly launched, AI-dedicated platform targeting logistics service providers (LSPs).
Strategic separation for focused AI development
The separation marks a deliberate strategic pivot toward vertical specialization. While project44 maintains its core focus on end-to-end supply chain visibility and predictive analytics for large shippers—including real-time tracking, predictive ETAs, and risk scoring—the new LSP44 unit is engineered exclusively for the operational and commercial needs of third-party logistics providers, freight forwarders, and managed transportation service providers.
The LSP44 platform integrates generative AI capabilities to automate documentation processing, optimize multimodal tendering, dynamically allocate capacity across carrier networks, and generate intelligent pricing recommendations. According to the report, the platform’s AI engine processes over 2.3 million shipment events per hour across its connected network, enabling near-real-time decision support for LSPs managing complex, high-volume freight operations.
Leadership and go-to-market execution
The initiative is led by Jeff Berman, who authored the original announcement and serves as Senior Editor at Logistics Management. The company confirmed that LSP44 will be commercially available starting in Q3 2026, with initial deployments planned across North America and select European markets. Early adopters include three unnamed Tier 1 logistics providers headquartered in Chicago, Dallas, and Rotterdam.
Each LSP44 customer deployment includes embedded AI model fine-tuning using proprietary historical tender data, carrier performance benchmarks, and lane-specific cost structures. The source states that pilot implementations reduced manual tendering time by 68% and improved on-time pickup rates by 22% over baseline metrics.
Market context and industry alignment
This move aligns with broader industry acceleration in AI-native logistics infrastructure. As noted in the 37th State of Logistics Report, released earlier in 2026, AI adoption among LSPs grew 41% year-over-year—outpacing enterprise shipper adoption by nearly 15 percentage points. The report attributes this surge to mounting pressure on margin compression, carrier capacity volatility, and rising compliance complexity across global trade lanes.
Competitive activity reinforces the trend: UPS rolled out AI-powered small-business shipping tools in June 2026; C.H. Robinson announced an expanded AI freight-matching engine in May 2026; and DHL launched its AI-driven customs advisory module across APAC in Q2 2026. Unlike those broad-platform upgrades, LSP44 represents the first dedicated, standalone AI operating system built exclusively for LSP workflows—not bolted onto legacy TMS or visibility platforms.
Operational implications for supply chain professionals
For supply chain practitioners, the split signals a structural shift in vendor engagement models. Rather than licensing monolithic visibility suites, LSPs can now deploy purpose-built AI modules that integrate directly with existing WMS, TMS, and ERP systems via API-first architecture. This modular approach reduces implementation timelines from months to weeks and allows incremental ROI tracking per use case—such as automated document reconciliation, dynamic rate benchmarking, or predictive carrier scorecarding.
The source states that LSP44’s pricing model is consumption-based, tied to shipment volume and AI inference count, with no upfront license fees. Early customers report average payback periods of 4.7 months on automation investments targeting manual documentation and tendering tasks.
Source: Logistics Management
Compiled from international media by the SCI.AI editorial team.
