{"id":6501,"date":"2026-09-29T14:38:36","date_gmt":"2026-09-29T11:38:36","guid":{"rendered":"https:\/\/mikhailinvest.com\/bridging-the-gaps-in-air-cargo-data-an-ideal-challenge-for-ai\/"},"modified":"2026-09-29T14:38:36","modified_gmt":"2026-09-29T11:38:36","slug":"bridging-the-gaps-in-air-cargo-data-an-ideal-challenge-for-ai","status":"publish","type":"post","link":"https:\/\/mikhailinvest.com\/zh\/bridging-the-gaps-in-air-cargo-data-an-ideal-challenge-for-ai\/","title":{"rendered":"Bridging the gaps in air cargo data an ideal challenge for AI"},"content":{"rendered":"
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Air cargo\u2019s next digital challenge is not simply digitising more processes, but connecting fragmented data across the supply chain, delegates at Aviation Connect in Athens heard today.<\/p>\n

According to Accenture Cargo\u2019s product growth lead, Shanmugam Thangavelu, changing trade patterns, growing capacity, and the emergence of AI are increasing the need for cargo stakeholders to share and reconcile information.<\/p>\n

He exemplified China-US ecommerce trade, which has fallen significantly over the past year following changes to America\u2019s de minimis rules.<\/p>\n

\u201cThe volume is actually shifting, but it\u2019s not disappearing,\u201d said Mr Thangavelu, adding that, overall, freight trade was showing positive growth, while capacity had also increased year on year.<\/p>\n

The challenge, he argued, was ensuring the data accompanying that freight movement could be shared quickly enough for operational and commercial decisions.<\/p>\n

Mr Thangavelu highlighted ground handlers as an example, saying they could receive multiple versions of shipment information from carriers, export agents, customs declarations, and other parties \u2013\u00a0\u201ca problem we are seeing right now \u2013 even some of the major ground handling agents face this,\u201d he said.<\/p>\n

IATA\u2019s ONE Record standard was intended to create a common digital record for shipments, but Mr Thangavelu said its adoption remained incomplete. While a large proportion of stakeholders are aware of it, he stressed that \u201cbeing ready\u201d was different from actually operating the system.<\/p>\n

Recent implementations, including Lufthansa\u2019s work with multiple technology partners, showed adoption was progressing, he added, but achieving \u201ca single source of truth\u201d across the entire shipment lifecycle would still take time, he warned.<\/p>\n

That leaves an opportunity for AI to help bridge the gap, suggested Mr Thangavelu. He illustrated how AI agents could connect different systems, reconcile competing sources of shipment information, and help cargo participants make and execute decisions.<\/p>\n

For a ground handler, this could mean knowing the correct number of pieces arriving, identifying a last-minute manifested shipment, and ensuring the appropriate labour and resources were available.<\/p>\n

The potential applications also extend beyond operations, to pricing, capacity allocation, flight planning, and revenue management, said Mr Thangavelu.<\/p>\n

He argued that connecting operational systems with global trade intelligence could give airlines faster insight into changing commodity flows, helping them adjust sales strategies, capacity allocation, and network planning.<\/p>\n

\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

AI-generated 29 September 2026 Air cargo\u2019s next digital challenge is not simply digitising more processes, but connecting fragmented data across the supply chain, delegates at Aviation Connect in Athens heard today. According to Accenture Cargo\u2019s product growth lead, Shanmugam Thangavelu, changing trade patterns, growing capacity, and the emergence of AI are increasing the need for 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29 September 2026 Air cargo\u2019s next digital challenge is not simply digitising more processes, but connecting fragmented data across the supply chain, delegates at Aviation Connect in Athens heard today. According to Accenture Cargo\u2019s product growth lead, Shanmugam Thangavelu, changing trade patterns, growing capacity, and the emergence of AI are increasing the need for…","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/phf4fX-1GR","jetpack_featured_media_url":"https:\/\/mikhailinvest.com\/wp-content\/uploads\/2026\/09\/253684bc5af0ca1a70294bc767bb6652-680x0-c-default-xXQJIX.png","_links":{"self":[{"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/posts\/6501","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/users\/280549882"}],"replies":[{"embeddable":true,"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/comments?post=6501"}],"version-history":[{"count":0,"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/posts\/6501\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/media\/6502"}],"wp:attachment":[{"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/media?parent=6501"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/categories?post=6501"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mikhailinvest.com\/zh\/wp-json\/wp\/v2\/tags?post=6501"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}