{"id":53582,"date":"2025-06-16T07:29:46","date_gmt":"2025-06-16T07:29:46","guid":{"rendered":"https:\/\/www.bravent.net\/?p=53582"},"modified":"2025-06-16T07:30:40","modified_gmt":"2025-06-16T07:30:40","slug":"bravent-wins-semifinal-indesia-datathon","status":"publish","type":"post","link":"https:\/\/www.bravent.net\/en\/news\/bravent-wins-semifinal-indesia-datathon","title":{"rendered":"Bravent wins the 2nd Semifinal of the VI IndesIA Datathon"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><p><strong>Bravent wins the 2nd Semifinal of the <a href=\"https:\/\/www.indesia.org\/dataton\/\">VI IndesIA Datathon<\/a> with a solution that predicts production times in the automotive industry!<\/strong><\/p>\n<\/div>[vc_empty_space][vc_images_carousel images=&#8221;53585,53587&#8243; img_size=&#8221;full&#8221;][vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><p>Bravent has been declared the winner of this second semifinal of the <strong>VI IndesIA Datathon<\/strong>, organized by <a href=\"https:\/\/www.mecanicasaparicio.es\/\">Mec\u00e1nicas Aparicio<\/a>.<\/p>\n<p>The challenge for this company was to solve a real problem related to planning and efficiency in industrial environments in the automotive mechanics sector.<\/p>\n<p>With the aim of <strong>predicting and reducing production times for these parts<\/strong>, our team presented a proposal that combines advanced predictive models with an analytical chatbot to transform decision-making on the factory floor, with a measurable ROI. Bravent wins the second semifinal of the VI IndesIA Datathon with a solution that predicts production times in the automotive industry!<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2>The challenge: unpredictable production times<\/h2>\n<p>In many factories, production orders appear repetitive, but in reality they vary greatly. This lack of predictability causes multiple problems:<\/p>\n<ul>\n<li>Poor planning and resource allocation<\/li>\n<li>Missed deadlines and loss of customer satisfaction<\/li>\n<li>Pressure on staff and increased errors<\/li>\n<li>Direct impact on product quality<\/li>\n<\/ul>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2>Our solution: prediction + conversation with data<\/h2>\n<h3>Predictive model with XGBoost<\/h3>\n<ul>\n<li>We started with an exploratory data analysis (EDA) of production order histories, identifying patterns and key variables. <strong>After evaluating eight different models (final regression, random forest), we selected the XGBoost predictive model<\/strong> as the most suitable for the solution due to its robustness and accuracy in tabular data, and its high capacity to detect complex interactions.<\/li>\n<li><strong>Training:<\/strong> the dataset was divided into 70% for training and 30% for validation. <strong>A cross-validation strategy was applied<\/strong> to optimize the model&#8217;s hyperparameters, minimizing generalization error and ensuring stability in the results.<\/li>\n<li><strong>Results:<\/strong> prediction of estimated production time with metrics such as MAE and RMSE, <strong>obtaining an 80% improvement in manual cutting predictions and a 66% improvement in the manual folding model.<\/strong><\/li>\n<li><strong>Application:<\/strong> allows delays to be anticipated and orders to be prioritized according to risk. The challenge: unpredictable production times<\/li>\n<\/ul>\n<\/div>[vc_empty_space][vc_single_image image=&#8221;53589&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h3>Intuitive interface and agile workflow<\/h3>\n<ul>\n<li>The user uploads an Excel file with the orders.<\/li>\n<li>The system performs the analysis and generates predictions instantly.<\/li>\n<li>The chatbot answers questions about the data and suggests actions.<\/li>\n<\/ul>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2>Impact and value for the company<\/h2>\n<p>Our solution provides tangible benefits:<\/p>\n<ul>\n<li><strong>Reduced costs and downtime<\/strong><\/li>\n<li><strong>Improved inventory planning<\/strong><\/li>\n<li><strong>Data-driven decisions in seconds<\/strong><\/li>\n<li><strong>Increased competitiveness and on-time delivery<\/strong><\/li>\n<li><strong>Estimated savings in operating costs and overtime<\/strong><\/li>\n<\/ul>\n<p><strong>ROI \u2013 40% reduction in unplanned production hours<\/strong><\/p>\n<p>Bravent&#8217;s project stood out for the high ROI it brings to the company, with a reduction of nearly 40% in unplanned production hours and the resulting savings in personnel costs and production downtime.<\/p>\n<\/div>[vc_empty_space][vc_single_image image=&#8221;53591&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2>Future: towards an intelligent \u201cSuper-Agent\u201d<\/h2>\n<p>We are working on an evolution of the system that will include:<\/p>\n<ul>\n<li>Agents that understand natural language and extract key variables.<\/li>\n<li><strong>Intelligent routers<\/strong> that select the most appropriate model for each case.<\/li>\n<li><strong>Integration with ERP\/MES systems<\/strong> and automatic notifications.<\/li>\n<li>A<strong> 24\/7 assistant<\/strong> that centralizes diagnostics, predictions, and recommendations.<\/li>\n<\/ul>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><p>This achievement not only demonstrates the talent and commitment of our AI team, <a href=\"https:\/\/www.bravent.net\/servicios\/inteligencia-artificial\/\">BraventIA<\/a>, but also our commitment to technological solutions that have a real impact on the industry. Thank you to everyone who made this possible!<\/p>\n<p><strong>This solution is scalable and applicable to other industries with similar problems. Would you like to know how it can be applied to your company? Contact us and we will tell you all about it.<\/strong><\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\">[vc_separator]<div class=\"last-paragraph-no-margin\"><p>For more details, you can contact us at <span class=\"ui-provider ee bvt bsm byx byy byz bza bzb bzc bzd bze bzf bzg bzh bzi bzj bzk bzl bzm bzn bzo bzp bzq bzr bzs bzt bzu bzv bzw bzx bzy bzz caa cab cac\" dir=\"ltr\"><a class=\"fui-Link ___1rxvrpe f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"mailto:info@bravent.net\" href=\"mailto:Info@bravent.net\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link Info@bravent.net\">Info@bravent.net<\/a><\/span><\/p>\n<\/div><\/div><\/div><\/div><\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Bravent wins the 2nd Semifinal of the VI IndesIA Datathon<\/p>\n","protected":false},"author":23,"featured_media":53595,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[743,736],"tags":[948,941,737,763,569,932,927,557,864],"class_list":["post-53582","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bravent-en","category-news-en","tag-business-strategy","tag-data-en","tag-digitalizacion-en","tag-innovacion-en","tag-microsoft-en","tag-microsoft-partner-en","tag-partnership","tag-security","tag-technology-en"],"yoast_head":"<!-- This site is optimized with 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