What AI digital workers mean for freight operations
AI digital workers in freight operations are software-based agents that learn from logistics data to perform end-to-end workflows such as carrier communication, document processing, and dispatch coordination across multiple tools and channels without forcing companies to redesign their existing processes. Cargofy’s platform is a prominent example of this new wave of AI logistics automation. After spending years embedded in freight operations and collecting proprietary data, the company pivoted in 2023 to build AI agents that mirror how human dispatchers and coordinators work. These agents plug into more than 70 systems, from transportation management and ERP platforms to load boards and compliance tools, allowing them to sit inside the operational stack rather than replace it. The result is digital workers freight teams can “hire” to run routine tasks around the clock, in multiple languages and markets.
Inside Cargofy’s AI logistics automation model
Cargofy positions itself as AI infrastructure rather than traditional logistics automation software. Its agents are designed to copy the workflows of freight professionals, handling email communication with carriers, preparing and checking documents, sending follow-ups, and coordinating dispatch. Because they integrate with existing systems instead of enforcing new ones, logistics teams can keep their current tools while gaining automated capacity. According to Cargofy, one dispatcher using these digital workers can manage a fleet ten times larger than usual, and a 315‑truck fleet can save around USD 83,000 (approx. RM382,000) per month. Clients use the platform across the full freight chain, from front-office tasks like client communication and order intake to back-office functions such as billing, compliance, and carrier coordination. This breadth shows how supply chain AI is moving beyond point solutions toward agents that can handle complete operational workflows.
The €9.6 million bet on digital workers freight expansion
Cargofy has closed a Series A round worth €9.6 million (USD 11 million; approx. RM50,600,000), including USD 6 million (approx. RM27,600,000) in primary capital and USD 5 million (approx. RM23,000,000) in secondary transactions, to scale its AI workers across freight operations. The round was led by u.ventures, Toloka, and Movens Capital, with participation from Intercom co-founder Des Traynor and other angels; one early backer exited with more than 50x their initial investment. This capital will fund new operational hubs across markets such as Germany, the Netherlands, France, Spain, and several US regions, as well as entry into emerging markets including Brazil, Mexico, and the Middle East. It will also support hiring a more international team and deepening logistics automation software capabilities so that agents can handle an expanding mix of front-office and back-office tasks for shippers, carriers, and 3PLs.
What Cargofy’s funding signals about supply chain AI
Investor appetite for Cargofy’s model signals growing confidence in AI logistics automation as a core layer of supply chain operations rather than a niche add-on. Horizon Capital’s Bogdan Svyrydov highlights the firm’s “combination of strong AI expertise with a deep understanding of the needs and processes of shippers, carriers, and 3PL providers” as a key advantage over more generic AI tools. The traction data is notable: a single dispatcher managing ten times the usual fleet size and a US client reducing yearly logistics costs by more than USD 5 million (approx. RM23,000,000). These outcomes suggest digital workers freight solutions can materially shift revenue per employee and operating margins. More broadly, this Series A round reflects a shift from static workflow automation to AI agents that learn from proprietary operational data and continuously adapt to complex logistics environments.
