TLDR: CargoAi has launched CargoCoPilot Agent, a new multilingual AI solution designed to automate and streamline various air cargo operations, including tracking, rate searches, bookings, and email communications. This unified AI agent aims to significantly boost productivity for airlines and freight forwarders by handling up to 50% of email interactions and providing real-time, natural language assistance across multiple platforms.
Airfreight technology innovator CargoAi has introduced its groundbreaking CargoCoPilot Agent, a unified, multilingual AI solution poised to transform the efficiency of air cargo logistics. Launched this week, the autonomous software integrates multiple artificial intelligence functions to automate critical tasks such as quoting, tracking, emailing, and payments, offering a significant leap forward for airlines, General Sales Agents (GSAs), and freight forwarders.
Matt Petot, founder and CEO of CargoAi, emphasized the strategic importance of this development, stating, “The next stage of this AI revolution is the AI agent.” He further elaborated on the user-centric design, noting, “AI must feel natural, trustworthy, and useful from day one. With CargoCoPilot Agent, a forwarder can simply ask ‘Show me rates to JFK’ or ‘Where is my shipment?’ — and the Agent does the rest.”
The CargoCoPilot Agent is engineered to operate seamlessly across various communication channels, including WhatsApp, partner platforms, and CargoAi’s proprietary CargoMart platform. Its core capabilities include:
Automated Communication: The agent can automate responses to up to 50% of emails received by airlines and freight forwarders, freeing up human staff for more complex tasks. CargoAi aims to automate not less than 50% of email interactions within the industry.
Real-time Tracking: Provides real-time updates for air waybills, offering instant status and milestone insights.
Natural Language Search: Users can perform rate and capacity searches using plain language queries, such as “300 kg SIN to JFK next Tue” or “Show rates for SIN → JFK on 10 Sep 2025,” including specific routes and cargo types.
Automated Booking: The agent can extract shipment details from queries and emails, place bookings directly in airline systems, and confirm back to the user.
Comprehensive Information: Delivers immediate answers to frequently asked questions related to ground handling, surcharges, contacts, and other operational details.
CargoAi’s approach to this AI solution blends large language models (LLMs) for advanced understanding and generation with predictive machine learning for optimizing price and capacity. The LLMs are trained by CargoAi on proprietary datasets, ensuring data privacy and preventing their use for training public models. This training leverages CargoAi’s extensive marketplace data, encompassing millions of searches, quotes, and bookings across over 150 countries, combined with aggregated, anonymized industry sources. The company is also building bridges to work with IATA ONE Record servers.
The agent’s intelligence is further refined by training on millions of data points and real email communications between forwarders and airlines, utilizing pattern recognition, context cues, and entity extraction to accurately interpret requests. A ‘confidence-aware automation’ system ensures that high-confidence tasks are executed instantly, while lower-confidence cases are flagged for human review, maintaining accuracy without compromising speed.
Petot highlighted the internal impact of AI on their development team, stating, “In terms of coding, we have twenty developers in our team. We had twenty developers last year, but now every developer is using AI agents, and the output of our developers is much more than before. It’s forecasted to double at the end of the year, and that’s really exactly the same that I think we can do with airlines.” This sentiment underscores the potential for significant productivity gains across the air cargo sector.
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The launch of CargoCoPilot Agent marks a pivotal moment for the air cargo industry, signaling a broader embrace of AI and new technologies to enhance operational efficiency and customer service.
