Air cargo charter technology specialist Aerios has introduced its first automation and artificial intelligence (AI)-powered module for the company’s Carrier App, marking a significant step toward digitalising the traditionally manual charter sales workflow.
The new module integrates intelligent automation directly into daily charter operations, enabling carriers to extract data from email-based charter requests, automatically generate routing options, and produce quotations within seconds. By reducing manual intervention and standardising data processing, the system aims to significantly improve operational speed, accuracy, and decision-making across charter sales teams.
Aerios, a member of the aviation technology group CargoTech, developed the solution in response to long-standing inefficiencies in the charter market, where a large share of requests are still handled through fragmented communication channels such as email and spreadsheets.
Addressing a manual and time-critical process
According to Aerios, more than 90 percent of charter requests arrive via email, often accompanied by packing lists and operational details in multiple attachments. These requests must typically be reviewed manually, with staff re-entering shipment data, assessing routing possibilities, and preparing multiple price quotations for different aircraft and routing combinations.
This process can be time-consuming and error-prone, particularly in the highly competitive air cargo charter sector where speed of response is often decisive in securing business.
The newly launched module tackles these challenges by applying AI-driven data extraction technology that converts unstructured information from emails, documents, and attachments into structured operational data. This enables the system to automate several stages of the quoting process, including route generation and pricing workflows.
Once the data is processed, the module can automatically generate multiple routing scenarios based on a carrier’s operational network, including aircraft positioning requirements and potential technical stops. It is also capable of managing complex requests involving multiple origin or destination airports, producing a set of quotations almost instantly.
Up to 80 percent reduction in quoting time
By embedding automation within the same workflow used by charter teams—rather than introducing a separate AI interface—the system integrates with tools such as Outlook and web-based processes already familiar to operators.
Aerios says the new functionality can reduce quoting times by up to 80 percent, significantly improving upon the approximately 66 percent reduction previously achieved by carriers using earlier versions of its platform.
The module also digitises packing lists and cargo details, enabling improved loadability analysis, pricing accuracy, and operational planning further down the logistics chain.
Beyond operational efficiency, the technology captures richer data sets from each request, feeding them into Aerios’ reporting dashboard. This provides carriers with improved visibility into quoting patterns, conversion performance, and customer demand trends, supporting more informed commercial decisions.
Leveraging machine learning and historical data
Another key feature of the module is its use of machine learning algorithms trained on historical charter data. By analysing previous quotations and operational outcomes, the system can suggest optimal routing options for new requests based on comparable shipments.
This capability allows less experienced team members to generate accurate quotations more quickly while ensuring greater consistency across distributed sales teams.
In 2025, Aerios customers used the platform to manage more than $1.5 billion in charter quotations across approximately 7,000 requests, highlighting the growing adoption of digital tools within the charter market.
Driving digital transformation in cargo charters
Aerios was established to create a digital ecosystem connecting carriers, brokers, and charter professionals through integrated software solutions designed specifically for the air cargo charter industry.
Founder and CEO Simon Watson said the introduction of the automation module addresses a fundamental operational challenge across the industry.
“The introduction of the Automation & AI module for carriers solves an obvious issue the market encounters on a daily basis,” Watson said. “It digitises request data within the Aerios environment that will be leveraged within our upcoming modules.”
By embedding AI directly into operational workflows, Aerios aims to build a unified end-to-end system for charter management—allowing airlines to respond faster to market opportunities, reduce operational friction, and allocate staff time toward customer engagement and revenue generation.
The new automation module forms part of Aerios’ broader strategy to modernise charter operations through data-driven tools, supporting the wider push for digital transformation across the global air cargo sector.
