Defining AI Digital Workers for Freight Operations
AI digital workers for freight operations are software agents trained on logistics data to autonomously execute end-to-end tasks such as carrier communication, document handling, dispatch coordination, and compliance, while integrating with existing tools and workflows used by logistics teams. Cargofy has built its supply chain AI stack around this idea, treating agents as digital employees rather than another layer of logistics software. Instead of asking dispatchers to learn a new system, the AI agents plug into transportation management systems, ERP tools, load boards, and communication channels already in place. This model lets logistics automation progress without a disruptive system overhaul, which has often slowed digital projects in freight operations. By embedding themselves in real freight workflows for years before pivoting to AI, Cargofy gathered proprietary data that now powers its production-grade AI agents in enterprise environments.
Funding Signals Confidence in AI Agents for Enterprise Logistics
Cargofy has secured a Series A round totaling USD 11 million (approx. RM50.6 million), including USD 6 million (approx. RM27.6 million) in primary capital and USD 5 million (approx. RM23.0 million) in secondary transactions, to expand its AI digital workers for logistics. The round, led by u.ventures, Toloka, and Movens Capital with participation from Intercom co-founder Des Traynor, signals rising investor confidence in specialized AI agents enterprise buyers can deploy in supply chain operations. More than 2,000 teams already use Cargofy’s platform, including names such as Kaspi, Metinvest, and Zammler. One quotable result from Cargofy’s customers is that “one dispatcher can manage a fleet 10 times the usual size,” highlighting how AI digital workers reshape headcount and cost models. As more capital moves into this segment, freight operations are emerging as a leading testbed for production-scale supply chain AI.
Inside Cargofy’s Logistics Automation Stack
Cargofy’s logistics automation approach centers on AI agents that mimic the workflows of human freight professionals across core day-to-day tasks. The platform connects with more than 70 tools, from transportation management systems and ERP platforms to load boards, compliance systems, and messaging channels. Once integrated, AI digital workers handle emailing carriers, gathering and validating documents, coordinating dispatch, and managing routine follow-up tasks around the clock. Because they are embedded into existing freight operations, dispatchers can scale their impact instead of replacing their routines entirely. Cargofy reports that a 315-truck fleet using its supply chain AI stack saves about USD 83,000 (approx. RM381,800) per month, while one customer reduced annual costs by more than USD 5 million (approx. RM23.0 million). These outcomes point to AI agents becoming a practical tool for cost reduction and throughput gains rather than a speculative technology bet.
AI Digital Workers as a Catalyst for Global Freight Expansion
Cargofy positions its AI digital workers as a way for logistics companies to expand across international markets without matching growth in manual headcount. Its agents operate in multiple languages and time zones, handling carrier coordination, billing support, compliance checks, and customer-facing tasks continuously. The company is using its Series A funding to open new operational hubs in markets such as Germany, the Netherlands, France, Spain, and additional regions in the United States, while strengthening its global team. According to Cargofy’s founder and CEO Stakh Vozniak, “We’re not building logistics software – we’re building AI infrastructure where companies can hire digital employees for their operations.” Enterprise logistics thus becomes a proving ground for AI agents enterprise buyers can treat as staff, where one person can oversee multiple digital workers and manage a significantly larger fleet, setting a template for similar models in other operationally heavy industries.
