The air cargo industry is gradually embracing AI, with CargoTech leading the way in developing tools to streamline operations and enhance decision-making. According to CargoTech President Cédric Millet, the sector is only at a “3 out of 10” in adopting AI-assisted processes, as it continues digitizing operations and accumulating usable data.
CargoTech’s solutions leverage AI to integrate fragmented data across the supply chain, improving end-to-end visibility. For instance, CargoAi’s CargoCOPILOT simplifies logistics by providing dynamic rates directly in user inboxes. Similarly, Rotate’s Fair Share Analysis helps airlines optimize market share and network decisions using machine learning algorithms.
While AI unlocks powerful insights, it doesn’t replace human expertise. Tools like Wiremind Cargo’s CargoStack Optimizer offer transparency, explaining results to help users make informed choices or override recommendations if needed, addressing the “black box” concern often associated with AI.
Wiremind Cargo emphasizes that AI extends beyond generative tools like ChatGPT. Their machine learning models analyze data to predict booking trends, baggage volumes, and optimal flight conditions, replicating analyst insights at scale.
Cargo charters face unique challenges as much of their data remains in emails and analog formats. Aerios’ Carrier Appbridges this gap by digitizing information, paving the way for AI tools that optimize fleet planning and quotation processes. AI can analyze market trends to guide long-term decisions and suggest efficient routing for charter sales.
Contrary to fears of job loss, AI reshapes roles, freeing employees from repetitive tasks. Sales teams, for example, can focus on customer relationships while AI identifies leads and trends. As Cédric Millet notes, AI enhances efficiency, attracts younger talent, and empowers employees to focus on strategic, value-adding work.
With AI as the “fuel” for smarter decisions, the air cargo industry is ready to accelerate its journey toward a more efficient, data-driven future.
