{"id":10834,"date":"2025-03-25T12:20:55","date_gmt":"2025-03-25T12:20:55","guid":{"rendered":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/?post_type=gsma_theme_resources&#038;p=10834"},"modified":"2025-09-19T10:28:44","modified_gmt":"2025-09-19T10:28:44","slug":"traffic-forecasting-engine-demand-prediction","status":"publish","type":"gsma_theme_resources","link":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/gsma_resources\/traffic-forecasting-engine-demand-prediction\/","title":{"rendered":"Telefonica: Traffic Forecasting Engine &amp; Demand Prediction\u00a0"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>O2 Telef\u00f3nica improves mobile data usage forecast.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In 2024, O2 Telef\u00f3nica&#8217;s network handled over five billion gigabytes of data, a fivefold increase from 2019. This surge poses challenges like network congestion, capacity management, and maintaining customer experience. To address this, O2 Telef\u00f3nica is expanding AI technology to accurately predict mobile data usage.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Solution:<\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Network planning team uses AI to accurately predict mobile data usage for 45 million customers. The tool, based on Google Cloud&#8217;s AI platform Vertex AI, analyses current and historical traffic statistics at 28,000 sites, considering also factors like tariff changes and business forecasts. It processes 250 gigabytes of data in minutes and provides a detailed forecast of expected data traffic for each site for the coming years in a few hours following half a day of training the model .&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Impact:<\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI enables O2 Telef\u00f3nica to use its network investments even more effectively in the right places and for a better customer experience. The findings are directly integrated into network expansion planning process. This enables the company to optimally align network growth at each location according to customer requirements and to increase capacity through additional technologies and frequency bands. Furthermore, O2 Telef\u00f3nica is making targeted&nbsp; investments through a more accurate&nbsp; planning process. This technology enhances the daily customer experience and provides a solid foundation for network expansion planned for the upcoming years.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;<br><a href=\"https:\/\/www.telefonica.de\/news\/corporate\/2025\/01\/ki-gestuetzte-netzplanung-o2-telefonica-verbessert-prognose-mobiler-datennutzung.html?cat=pressemitteilungen\" target=\"_blank\" rel=\"noreferrer noopener\">AI-supported network planning: o2 Telef\u00f3nica&nbsp;<\/a>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Location:<\/strong>&nbsp;Europe&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Topic:<\/strong>\u00a0Network planning\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>MNO:<\/strong>&nbsp;O2 Telefonica&nbsp;<\/p>\n\n\n\n            <div class=\"orgs\" id=\"orgs-149b1c1b\"  data-ids=\"12093\" data-display=\"\" data-show-names=\"false\"><\/div>\n        \n<script>\n    window.addEventListener(\"load\", function(){\n      const orgs_list = new Orgs_List();\n      orgs_list.init(\"orgs-149b1c1b\");\n    });\n<\/script>\n    \n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/ai-use-case-library\/\">Back to AI Use Case Library<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>O2 Telef\u00f3nica improves mobile data usage forecast. In 2024, O2 Telef\u00f3nica&#8217;s network handled over five billion gigabytes of data, a fivefold increase from 2019. This surge poses challenges like network congestion, capacity management, and maintaining customer experience. To address this, O2 Telef\u00f3nica is expanding AI technology to accurately predict mobile data usage.&nbsp; Solution:&nbsp; Network planning [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":9147,"template":"","meta":{"image":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/wp-content\/uploads\/2024\/11\/Foundry_AI_N_usecase_2_600x300.jpg","json":{"gsma_resources_type":"Other","gsma_resources_thumb":"[9147]","gsma_resources_file":"null","gsma_resources_multi":null,"gsma_resources_wgr":null,"gsma_resources_video":"","gsma_resources_image":"null","gsma_resources_url":"","gsma_resources_date":"","gsma_resources_button":""}},"tags":[],"resource_categories":[217,237,271,294,268,253],"algolia_discover_type":[207],"class_list":["post-10834","gsma_theme_resources","type-gsma_theme_resources","status-publish","has-post-thumbnail","hentry","resource_categories-ai-use-case","resource_categories-ai-use-case-company-name","resource_categories-ai-use-case-region-europe","resource_categories-ai-use-case-theme-network-planning","resource_categories-ai-use-case-region","resource_categories-ai-use-case-theme","algolia_discover_type-case-study"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.4 (Yoast SEO v27.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Telefonica: Traffic Forecasting Engine &amp; Demand Prediction\u00a0 - GSMA Foundry<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/gsma_resources\/traffic-forecasting-engine-demand-prediction\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Telefonica: Traffic Forecasting Engine &amp; Demand Prediction\u00a0\" \/>\n<meta property=\"og:description\" content=\"O2 Telef\u00f3nica improves mobile data usage forecast. 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