{"id":20902,"date":"2025-04-11T09:00:00","date_gmt":"2025-04-11T08:00:00","guid":{"rendered":"https:\/\/webpreview.hbenchmark.com\/?p=20023"},"modified":"2026-03-30T09:55:46","modified_gmt":"2026-03-30T07:55:46","slug":"ai-in-tourism-ever-more-intelligent-spending-forecasts-thanks-to-data","status":"publish","type":"post","link":"https:\/\/www.hbenchmark.com\/en\/rassegna-stampa-2025\/ai-e-turismo-previsioni-di-spesa-sempre-piu-intelligenti-grazie-ai-dati\/","title":{"rendered":"AI and Tourism: increasingly smart spending forecasts thanks to data"},"content":{"rendered":"
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\r\n\t\t\t\t\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tPress Review - 2025<\/span>\r\n\t\t\t\t<\/span>\r\n\t\t\t<\/div>\r\n\t\t\r\n\t\t

\r\n\r\n\t\t\t\r\n\r\n\t\t\t\t\t\t\t\t\tAI and Tourism: increasingly smart spending forecasts thanks to data\t\r\n\t\t\t\t\t\r\n\r\n\t\t\t<\/span>\r\n\t\t<\/h3>\r\n\t\t\r\n\t<\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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One year after launching its partnership with HBenchmark, Mastercard presents its approach to artificial intelligence applied to tourist spending, focusing on concrete use cases to support destinations and operators in achieving specific KPIs.<\/p>\n

The joint study on the Mastercard Spending Index and RevPar HBenchmark data shows a strong correlation between the two variables, upon which AI-based predictive models can be built to estimate the future trend of economic flows generated by tourism.<\/p>\t\t\r\n\t<\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Would you like to know more?<\/strong><\/p>\t\t\r\n\t<\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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RASSEGNA STAMPA – 2025 AI e Turismo: previsioni di spesa sempre pi\u00f9 intelligenti grazie ai dati – GUIDAVIAGGI Leggi l’articolo completo Ad un anno dall\u2019avvio della partnership con HBenchmark, Mastercard presenta il suo approccio all\u2019intelligenza artificiale applicata alla spesa turistica, mettendo al centro casi d\u2019uso concreti per supportare destinazioni e operatori nel raggiungimento di KPI […]<\/p>\n","protected":false},"author":6,"featured_media":21753,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[140],"tags":[],"class_list":["post-20902","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-rassegna-stampa-2025"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/posts\/20902","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/comments?post=20902"}],"version-history":[{"count":8,"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/posts\/20902\/revisions"}],"predecessor-version":[{"id":22261,"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/posts\/20902\/revisions\/22261"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/media\/21753"}],"wp:attachment":[{"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/media?parent=20902"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/categories?post=20902"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hbenchmark.com\/en\/wp-json\/wp\/v2\/tags?post=20902"}],"curies":[{"name":"WordPress","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}