Artificial Intelligence has formed the basis of Wiremind products ever since its introduction in its passenger Revenue Management solution, CAYZN, back in 2018. With the development and introduction of every subsequent product, Wiremind has built up a solid, unparalleled understanding of and expertise in AI capabilities. In its air cargo software suite, machine-learning models enable demand forecasting, intelligent overbooking management, pricing recommendations, and, of course, are increasingly embedded in Wiremind’s flagship capacity optimization product: SKYPALLET.
Yet, while these AI models run in the background of those solutions, Wiremind is now developing product enhancements that will bring AI to the forefront, too, into direct contact with the user. Two use-cases have been under scrutiny since this summer, with a view to incorporating the capabilities of large language models into CARGOSTACK in 2024.
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The first use case will streamline the quotation management process for airline sales teams by directly populating key criteria from a forwarder’s written quotation request into CARGOSTACK’s quotation module. The second use case will enhance CARGOSTACK’s recently released rules engine, which enables cargo teams to define custom rules for managing flights at scale across a range of parameters and conditions. While this currently requires users to write a short script within the application to define their custom rule, Wiremind is exploring the use of AI to assist users further, by allowing them to describe their desired rule in written text, which AI will translate into the relevant script, for the user to subsequently validate, test and activate.
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Both of these use cases are intended to reduce manual input by users and improve the accessibility of the product, such as for users who may not be able to write scripts. As with all Wiremind products, the emphasis is placed on customer requirements, user experience and critical feedback. Once this collaborative customer groundwork is complete, Wiremind’s product and tech teams will jointly devise the respective digital solutions.
“The hype around ChatGPT and the many other emerging language models this year, has shown that, as a society, we are now ready to embrace the opportunities that AI offers,” says Étienne Corbillé, Chief Technology Officer of Wiremind Cargo. “A trend that we are more than happy to see, given that machine-learning models have played a core role in our solution philosophy for a number of years, and are infused into all our products. That said, we too are excited by this latest wave of AI technologies, particularly generative AI and large language models, because they are creating interesting use cases within our product. Many of these possibilities have already been discussed with our customers, and their feedback is now being incorporated into our planned concepts and ongoing product enhancements. All will be revealed next year with the release of our first two next-level AI features, unleashing the full potential this fascinating technology enables to better assist our users.”
