{"id":161603,"date":"2025-10-02T16:47:49","date_gmt":"2025-10-02T14:47:49","guid":{"rendered":"https:\/\/virtualdesk.es\/casos-de-exito\/metro-de-bilbao\/"},"modified":"2026-01-26T12:42:48","modified_gmt":"2026-01-26T11:42:48","slug":"bilbao-metro","status":"publish","type":"portfolio","link":"https:\/\/virtualdesk.es\/en\/casos-de-exito\/bilbao-metro\/","title":{"rendered":"Bilbao Metro"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;4&#8243; bottom_padding=&#8221;4&#8243; back_color=&#8221;color-vyce&#8221; back_image=&#8221;97923&#8243; back_position=&#8221;center top&#8221; overlay_alpha=&#8221;50&#8243; overlay_animated=&#8221;yes&#8221; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;step_3_4&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;695350&#8243; back_color_type=&#8221;uncode-palette&#8221; overlay_animated_1_color_type=&#8221;uncode-solid&#8221; overlay_animated_1_color_solid=&#8221;#3a35ce&#8221; overlay_animated_2_color_type=&#8221;uncode-solid&#8221; overlay_animated_2_color_solid=&#8221;#00cdf2&#8243;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;6&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;744311&#8243;][vc_single_image media=&#8221;159088&#8243; media_width_percent=&#8221;15&#8243; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;144260&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; inverted_device_order=&#8221;yes&#8221; limit_content=&#8221;&#8221; uncode_shortcode_id=&#8221;156810&#8243; css=&#8221;.vc_custom_1752595079141{margin-top: 75px !important;}&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;2&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;4&#8243; align_mobile=&#8221;align_center_mobile&#8221; mobile_width=&#8221;0&#8243; width=&#8221;7\/12&#8243; uncode_shortcode_id=&#8221;128842&#8243;][vc_custom_heading text_color=&#8221;accent&#8221; heading_semantic=&#8221;h4&#8243; text_size=&#8221;h4&#8243; text_weight=&#8221;400&#8243; text_transform=&#8221;uppercase&#8221; uncode_shortcode_id=&#8221;213939&#8243; text_color_type=&#8221;uncode-palette&#8221;]Case study[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h1&#8243; text_size=&#8221;&#8221; uncode_shortcode_id=&#8221;157738&#8243;]Bilbao Metro \u2013 Passenger Demand Prediction Model[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h3&#8243; text_size=&#8221;h3&#8243; text_weight=&#8221;400&#8243; uncode_shortcode_id=&#8221;176729&#8243; subheading=&#8221;In its commitment to innovation and continuous service improvement, Metro Bilbao needed a predictive model that could anticipate passenger demand based on multiple data sources: ticketing, sensors, open data, and contextual variables.<br \/>\nThe main objective was to have a tool that would facilitate strategic planning, operational decision-making, and resource allocation based on projected passenger flow.&#8221; text_color_type=&#8221;uncode-palette&#8221; text_color_solid=&#8221;#ff0000&#8243;]<strong>Bilbao Metro<\/strong> is committed to advanced analytics and artificial intelligence to optimize the planning and operation of its network, through the design, validation and adjustment of a passenger demand prediction model developed by <strong>Virtual Desk.<\/strong>[\/vc_custom_heading][vc_empty_space empty_h=&#8221;1&#8243;][vc_button button_color=&#8221;accent&#8221; size=&#8221;btn-lg&#8221; text_skin=&#8221;yes&#8221; custom_typo=&#8221;yes&#8221; font_family=&#8221;font-207124&#8243; font_weight=&#8221;600&#8243; border_width=&#8221;0&#8243; scale_mobile=&#8221;no&#8221; link=&#8221;url:https%3A%2F%2Fvirtualdesk.es%2Fen%2Fcatalogue%2Fproducts%2Fai4-transportation%2F|title:AI4%20Transportation|target:_blank&#8221; button_color_type=&#8221;uncode-palette&#8221; uncode_shortcode_id=&#8221;164655&#8243;]Discover Ai4 Transportation[\/vc_button][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; back_image=&#8221;99798&#8243; back_position=&#8221;right top&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;4&#8243; mobile_width=&#8221;0&#8243; width=&#8221;5\/12&#8243; uncode_shortcode_id=&#8221;195800&#8243; back_size=&#8221;80%&#8221;][vc_single_image media=&#8221;159092&#8243; media_width_percent=&#8221;100&#8243; media_ratio=&#8221;one-one&#8221; alignment=&#8221;center&#8221; shape=&#8221;img-round&#8221; shadow=&#8221;yes&#8221; shadow_weight=&#8221;lg&#8221; shadow_darker=&#8221;yes&#8221; uncode_shortcode_id=&#8221;149165&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;4&#8243; bottom_padding=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;1&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;383860&#8243;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_visibility=&#8221;yes&#8221; align_mobile=&#8221;align_center_mobile&#8221; mobile_width=&#8221;0&#8243; width=&#8221;5\/12&#8243; uncode_shortcode_id=&#8221;575850&#8243;][vc_custom_heading text_size=&#8221;h3&#8243; uncode_shortcode_id=&#8221;111778&#8243;]The immediate resolution of any incidents that occur on a daily basis is critical for the proper functioning of the service.[\/vc_custom_heading][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; font_family=&#8221;font-955596&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;7\/12&#8243; uncode_shortcode_id=&#8221;319231&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;4&#8243; align_mobile=&#8221;align_center_mobile&#8221; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;138617&#8243;][vc_custom_heading text_color=&#8221;accent&#8221; heading_semantic=&#8221;h6&#8243; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;175827&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;50px&#8221;]+ 5M \u20ac[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;440842&#8243;]In annual costs[\/vc_custom_heading][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;4&#8243; align_mobile=&#8221;align_center_mobile&#8221; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;588108&#8243;][vc_custom_heading text_color=&#8221;accent&#8221; heading_semantic=&#8221;h6&#8243; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;148061&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;50px&#8221;]90%[\/vc_custom_heading][vc_custom_heading text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;775099&#8243;]Prolonged delays[\/vc_custom_heading][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;722632&#8243;][vc_custom_heading text_color=&#8221;accent&#8221; heading_semantic=&#8221;h6&#8243; text_size=&#8221;custom&#8221; uncode_shortcode_id=&#8221;275011&#8243; text_color_type=&#8221;uncode-palette&#8221; heading_custom_size=&#8221;50px&#8221;]100%[\/vc_custom_heading][vc_custom_heading text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;828302&#8243;]Lack of interoperability[\/vc_custom_heading][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;849573&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_custom_heading text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;165716&#8243;]It is based on a big data platform that characterizes multimodal mobility in cities and builds multimodal chains.[\/vc_custom_heading][uncode_list icon=&#8221;fa fa-minus&#8221; icon_color=&#8221;color-blue&#8221; uncode_shortcode_id=&#8221;287789&#8243; icon_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<ul>\n<li><strong>Large volume of scattered data:<\/strong> from ticketing, sensors, GIS and mobility surveys.<\/li>\n<li><strong>Lack of its own Big Data infrastructure,<\/strong> which limited internal analytical capacity.<\/li>\n<li><strong>Need for accurate forecasts<\/strong> that are adaptable to changes in habits and external events.<\/li>\n<li>Integration of multiple heterogeneous sources (ticketing, AEMET, economic variables).<\/li>\n<li><strong>Robust statistical validation,<\/strong> which would guarantee the reliability of the model before its implementation in production.<\/li>\n<\/ul>\n<p>[\/uncode_list][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; bottom_divider=&#8221;gradient&#8221; uncode_shortcode_id=&#8221;194249&#8243; back_color_type=&#8221;uncode-solid&#8221; back_color_solid=&#8221;#f3f9fe&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;2&#8243; back_image=&#8221;99798&#8243; back_position=&#8221;left top&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;4&#8243; mobile_width=&#8221;0&#8243; width=&#8221;5\/12&#8243; uncode_shortcode_id=&#8221;349783&#8243; back_size=&#8221;80%&#8221;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; position_vertical=&#8221;bottom&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;5&#8243; mobile_width=&#8221;5&#8243; width=&#8221;8\/12&#8243; uncode_shortcode_id=&#8221;166455&#8243;][vc_single_image media=&#8221;157574&#8243; media_width_percent=&#8221;100&#8243; media_ratio=&#8221;five-four&#8221; shape=&#8221;img-round&#8221; uncode_shortcode_id=&#8221;127219&#8243;][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; position_vertical=&#8221;bottom&#8221; gutter_size=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;3&#8243; mobile_width=&#8221;3&#8243; width=&#8221;4\/12&#8243; uncode_shortcode_id=&#8221;806037&#8243;][vc_single_image media=&#8221;59480&#8243; media_width_percent=&#8221;100&#8243; media_ratio=&#8221;one-one&#8221; shape=&#8221;img-round&#8221; uncode_shortcode_id=&#8221;618873&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;2&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;3&#8243; mobile_width=&#8221;3&#8243; width=&#8221;4\/12&#8243; uncode_shortcode_id=&#8221;139510&#8243;][vc_single_image media=&#8221;58589&#8243; media_width_percent=&#8221;100&#8243; media_ratio=&#8221;three-four&#8221; shape=&#8221;img-round&#8221; uncode_shortcode_id=&#8221;156666&#8243;][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;5&#8243; mobile_width=&#8221;5&#8243; width=&#8221;8\/12&#8243; uncode_shortcode_id=&#8221;866731&#8243;][vc_single_image media=&#8221;158012&#8243; media_width_percent=&#8221;100&#8243; media_ratio=&#8221;five-four&#8221; shape=&#8221;img-round&#8221; uncode_shortcode_id=&#8221;114979&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; font_family=&#8221;font-955596&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;4&#8243; align_mobile=&#8221;align_center_mobile&#8221; mobile_width=&#8221;0&#8243; width=&#8221;7\/12&#8243; uncode_shortcode_id=&#8221;574072&#8243;][vc_custom_heading text_color=&#8221;color-blue&#8221; text_size=&#8221;h3&#8243; uncode_shortcode_id=&#8221;200966&#8243; text_color_type=&#8221;uncode-palette&#8221;]Virtual Desk implemented an advanced solution based on its VDDP (Virtual Desk Data Platform), which enabled the ingestion, processing, and modeling of large volumes of information.<\/p>\n<p>&nbsp;<\/p>\n<p>The development included:[\/vc_custom_heading][uncode_list icon=&#8221;fa fa-minus&#8221; icon_color=&#8221;color-blue&#8221; uncode_shortcode_id=&#8221;172413&#8243; icon_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<ul>\n<li><strong>Data quality analysis<\/strong> of the ticketing and validation system of Metro de Bilbao.<\/li>\n<li><strong>Integration of external sources,<\/strong> such as meteorology (AEMET), events and economic variables.<\/li>\n<li><strong>Design of multivariable predictive algorithms<\/strong> with continuous learning and adjustment capabilities.<\/li>\n<li><strong>Construction of a prediction model in different dimensions:<\/strong> station, line, type of day, time slot and user profile.<\/li>\n<li><strong>Statistical validation and quality control,<\/strong> guaranteeing an accuracy level of 80\u201385%.<\/li>\n<li><strong>Final deployment of the analytical model<\/strong> and secure access for the Bilbao Metro technical team.<\/li>\n<\/ul>\n<p>[\/uncode_list][vc_custom_heading text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;173524&#8243;]The project was developed under the <strong>Scrum <\/strong>methodology, with iterative cycles of development, review and validation, ensuring the delivery of partial results in each sprint.[\/vc_custom_heading][vc_row_inner limit_content=&#8221;&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; 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align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;4&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;463730&#8243;][uncode_star_rating rate=&#8221;5&#8243; custom_size=&#8221;16px&#8221; uncode_shortcode_id=&#8221;226534&#8243;][vc_custom_heading text_size=&#8221;custom&#8221; text_weight=&#8221;400&#8243; uncode_shortcode_id=&#8221;501755&#8243; heading_custom_size=&#8221;clamp(1.875rem, -1.875rem + 6.25vw, 4.375rem)&#8221;]This project has marked a milestone in our ability to understand and anticipate our users&#8217; mobility patterns. Thanks to the predictive model developed by Virtual Desk, we can plan more accurately, optimize resources, and improve the traveler experience.[\/vc_custom_heading][vc_single_image media=&#8221;88881&#8243; media_width_use_pixel=&#8221;yes&#8221; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;637445&#8243; media_width_pixel=&#8221;200&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;527007&#8243;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;4&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; 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text_weight=&#8221;400&#8243; uncode_shortcode_id=&#8221;980279&#8243;]We transform data into innovative solutions that generate tangible and sustainable changes for your organization.[\/vc_custom_heading][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; position_vertical=&#8221;bottom&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;117680&#8243;][vc_custom_heading text_color=&#8221;color-blue&#8221; text_size=&#8221;h3&#8243; uncode_shortcode_id=&#8221;472462&#8243; text_color_type=&#8221;uncode-palette&#8221;]The predictive model developed by <strong>Virtual Desk<\/strong> has provided Metro de Bilbao with a high-value strategic tool, with direct impacts on efficiency and service quality:[\/vc_custom_heading][uncode_list icon=&#8221;fa fa-minus&#8221; icon_color=&#8221;color-blue&#8221; uncode_shortcode_id=&#8221;208895&#8243; icon_color_type=&#8221;uncode-palette&#8221;]<\/p>\n<ul>\n<li><strong>Demand forecasts with 85% accuracy,<\/strong> based on multiple data sources.<\/li>\n<li><strong>Significant reduction of analysis times<\/strong> through process automation and direct visualization of results.<\/li>\n<li><strong>Optimization of operational planning,<\/strong> adjusting frequencies and resources to the actual expected demand.<\/li>\n<li><strong>Greater responsiveness to events or incidents,<\/strong> thanks to near real-time analytics.<\/li>\n<li><strong>Solid foundation for the evolution towards MaaS (Mobility as a Service) models<\/strong> and predictive planning.<\/li>\n<\/ul>\n<p>[\/uncode_list][\/vc_column_inner][\/vc_row_inner][vc_separator sep_color=&#8221;&#8221; uncode_shortcode_id=&#8221;448546&#8243; sep_color_type=&#8221;uncode-solid&#8221; sep_color_solid=&#8221;#d6d7d9&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; 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gutter_size=&#8221;2&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; border_style=&#8221;solid&#8221; preserve_border=&#8221;yes&#8221; preserve_border_tablet=&#8221;yes&#8221; preserve_border_mobile=&#8221;yes&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;3&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;155832&#8243; css=&#8221;.vc_custom_1743090694893{border-left-width: 1px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;}&#8221; border_color_type=&#8221;uncode-solid&#8221; border_color_solid=&#8221;#d6d7d9&#8243;][vc_custom_heading text_color=&#8221;accent&#8221; heading_semantic=&#8221;h5&#8243; text_size=&#8221;&#8221; text_transform=&#8221;uppercase&#8221; uncode_shortcode_id=&#8221;114561&#8243; text_color_type=&#8221;uncode-palette&#8221;]Measurable Benefits[\/vc_custom_heading][uncode_counter value=&#8221;60&#8243; 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Our personalized, results-oriented approach has demonstrated a significant impact across various sectors.[\/vc_column_text][vc_column_text text_color=&#8221;color-jevc&#8221; uncode_shortcode_id=&#8221;166583&#8243; text_color_type=&#8221;uncode-palette&#8221;]We design customized solutions that optimize processes, automate tasks, and free up resources. 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