CHICAGO and AMSTERDAM — As global trade grapples with a permanent state of volatility, the logistics industry is undergoing a fundamental transition from historical visibility to autonomous decision intelligence. This shift was solidified this April during project44’s flagship customer event, decision44, where the company presented an extensive fleet of AI agents built to handle the complexities of modern supply chains. In an era defined by geopolitical upheaval, climate-driven delays, and rising costs, the ability to deploy AI that not only predicts but acts and coordinates in real time has become a critical competitive advantage.
Beyond Visibility: The Rise of the Decision Intelligence Platform
For years, the industry focus was on “visibility” – simply knowing where a shipment was located. However, project44 executives argue that visibility is now merely “table stakes”. The real challenge centers on decision intelligence: turning fragmented data into the insights and actions needed to manage disruptions as they occur.
At the heart of this strategy is Movement, project44’s Decision Intelligence Platform. By unifying data across all transportation modes – from raw materials to the final mile – Movement serves as a single source of truth that allows teams to act faster and reduce manual effort. This platform leverages the world’s largest logistics data graph, which processes over 700 million daily events and tracks 1.5 billion shipments annually. This foundation provides the “context” that most AI implementations lack, allowing systems to understand not just what is happening, but why it is relevant to a specific business rule.
This platform leverages the world’s largest logistics data graph
The AI Agent Fleet: Specialization at Scale
The most significant announcement at decision44 was the introduction of a specialized portfolio of AI agents. Unlike generic chatbots, these agents are built for specific “jobs to be done” within the supply chain.
- Network Operations Agent: Designed to create a “self-healing” network, this agent identifies data gaps and missing milestones, resolving root causes of data quality issues without human intervention.
- Freight Procurement Agent: This agent continuously benchmarks contracted rates against live market conditions and autonomously negotiates with thousands of carriers simultaneously to secure capacity faster.
- Disruption Management Agent: By evaluating millions of news events daily across 120 risk categories, this agent maps disruptions directly to in-transit inventory, allowing shippers to reroute freight before a crisis cascades.
Strategic Acquisition: LunaPath.ai
To accelerate this “agentic” vision, project44 announced the all-cash acquisition of LunaPath.ai on April 9, 2026. LunaPath specializes in orchestration and execution-focused agents that autonomously manage transactional tasks like carrier check calls, proof-of-delivery retrieval, and appointment confirmations. This acquisition follows a 16-month evaluation of dozens of AI providers and embeds LunaPath’s automation directly into the Movement platform.
Measurable Impact: Turning Data into Dollars
The transition to autonomous execution is already delivering significant ROI for global brands. Suntory Global Spirits reported a 99% reduction in detention and demurrage (D&D) fees by using real-time insights to prevent delays before fees were incurred. Ford has leveraged the platform to turn operational data into negotiation leverage, while a major Japanese automotive manufacturer saved $12 million annually by reducing safety stock through better inventory decisions.
Even in high-pressure situations, such as the Baltimore Bridge collapse, a 29 billion US automotive company was able to reroute shipments in real time, avoiding an estimated 16 million in costs.
The Path to Autonomy: “Crawl, Walk, Run”
Project44 leaders emphasize that true autonomy is built over time through a “crawl, walk, run” roadmap. The “crawl” phase focuses on establishing data trust through quality agents; the “walk” phase introduces human-approved recommendations; and the “run” phase enables orchestrated, autonomous execution within defined guardrails.
As US transportation costs continue to rise – climbing nearly 20% in recent years – and labor shortages persist, the industry’s shift toward AI-driven orchestration appears less like an option and more like a mandate. By providing the “connective tissue” of the global supply chain, project44 is enabling organizations to move from reactive firefighting to proactive, intelligent execution.
