{"id":12612,"date":"2023-06-21T14:50:26","date_gmt":"2023-06-21T12:50:26","guid":{"rendered":"https:\/\/www.datamondial.com\/blog\/"},"modified":"2026-06-23T09:31:03","modified_gmt":"2026-06-23T07:31:03","slug":"blog","status":"publish","type":"page","link":"https:\/\/www.datamondial.com\/en\/blog\/","title":{"rendered":"Blogs"},"content":{"rendered":"<div id='blog'  class='avia-section av-lj5rfg3o-8d619f9c19ea3f602b3cec735037b97d alternate_color avia-section-default avia-no-border-styling  avia-builder-el-0  avia-builder-el-no-sibling  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-12612'><div class='entry-content-wrapper clearfix'>\n<div  class='flex_column av-16napkh-29222d10c390a12da4a052c38361a930 av_one_full  avia-builder-el-1  avia-builder-el-no-sibling  first flex_column_div  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lj5pg4aa-126077385ea1b641bb2ddd56d11b51bf\">\n#top .av-special-heading.av-lj5pg4aa-126077385ea1b641bb2ddd56d11b51bf{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-lj5pg4aa-126077385ea1b641bb2ddd56d11b51bf .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-lj5pg4aa-126077385ea1b641bb2ddd56d11b51bf .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-lj5pg4aa-126077385ea1b641bb2ddd56d11b51bf av-special-heading-h1 blockquote modern-quote  avia-builder-el-2  el_before_av_hr  avia-builder-el-first  pijltje'><h1 class='av-special-heading-tag '  itemprop=\"headline\"  >Featured blogs<\/h1><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-r5ju29-7761bea01d7baa19e1804088c337d859\">\n#top .hr.hr-invisible.av-r5ju29-7761bea01d7baa19e1804088c337d859{\nheight:50px;\n}\n<\/style>\n<div  class='hr av-r5ju29-7761bea01d7baa19e1804088c337d859 hr-invisible  avia-builder-el-3  el_after_av_heading  el_before_av_blog '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div><br \/>\n<div  data-slideshow-options=\"{&quot;animation&quot;:&quot;fade&quot;,&quot;autoplay&quot;:false,&quot;loop_autoplay&quot;:&quot;once&quot;,&quot;interval&quot;:5,&quot;loop_manual&quot;:&quot;manual-endless&quot;,&quot;autoplay_stopper&quot;:false,&quot;noNavigation&quot;:false,&quot;show_slide_delay&quot;:90}\" class='avia-content-slider avia-content-grid-active avia-content-slider1 avia-content-slider-even  avia-builder-el-4  el_after_av_hr  el_before_av_heading  av-slideshow-ui av-control-default   av-no-slider-navigation av-slideshow-manual av-loop-once av-loop-manual-endless '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Blog\" ><div class=\"avia-content-slider-inner\"><div class=\"slide-entry-wrap\"><article class='slide-entry flex_column  post-entry post-entry-14769 slide-entry-overview slide-loop-1 slide-parity-odd  av_one_fourth first real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/scale-your-logistics-back-office-fast-without-hiring-a-single-person\/' data-rel='slide-1' class='slide-image' title='Scale your logistics back-office fast\u2014without hiring a single person'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-directeur-logistiek-management-495x400.jpg\" class=\"wp-image-14764 avia-img-lazy-loading-not-14764 attachment-portfolio size-portfolio wp-post-image\" alt=\"\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-directeur-logistiek-management-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-directeur-logistiek-management-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: Scale your logistics back-office fast\u2014without hiring a single person\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/scale-your-logistics-back-office-fast-without-hiring-a-single-person\/'  title='Scale your logistics back-office fast\u2014without hiring a single person'>Scale your logistics back-office fast\u2014without hiring a single person<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/featured\/\" rel=\"tag\">Featured<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Is hiring temps slowing down your logistics? Discover how to scale your back-office capacity instantly\u2014without adding a single employee.\n<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/scale-your-logistics-back-office-fast-without-hiring-a-single-person\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-02-17T09:11:08+01:00\" >17 February 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-directeur-logistiek-management.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-02-17 09:11:08<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-03-06 15:47:07<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>Scale your logistics back-office fast\u2014without hiring a single person<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-14757 slide-entry-overview slide-loop-2 slide-parity-even  av_one_fourth  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/the-4-hour-window-that-makes-or-breaks-your-claims-nps\/' data-rel='slide-1' class='slide-image' title='The 4-hour window that makes or breaks your claims NPS'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-specialist-kwaliteitscontrole-claims-495x400.jpg\" class=\"wp-image-14748 avia-img-lazy-loading-not-14748 attachment-portfolio size-portfolio wp-post-image\" alt=\"\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-specialist-kwaliteitscontrole-claims-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-specialist-kwaliteitscontrole-claims-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: The 4-hour window that makes or breaks your claims NPS\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/the-4-hour-window-that-makes-or-breaks-your-claims-nps\/'  title='The 4-hour window that makes or breaks your claims NPS'>The 4-hour window that makes or breaks your claims NPS<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/featured\/\" rel=\"tag\">Featured<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Claims NPS is defined in the first 4 hours. Is admin work slowing you down? Learn how smart indexing frees up experts and boosts customer satisfaction.\n<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/the-4-hour-window-that-makes-or-breaks-your-claims-nps\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-02-11T13:52:02+01:00\" >11 February 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/operationeel-specialist-kwaliteitscontrole-claims.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-02-11 13:52:02<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-03-06 15:47:31<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>The 4-hour window that makes or breaks your claims NPS<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-14740 slide-entry-overview slide-loop-3 slide-parity-odd  av_one_fourth  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/stop-chasing-100-automation-a-smarter-strategy-for-flawless-data\/' data-rel='slide-1' class='slide-image' title='Stop chasing 100% automation: A smarter strategy for flawless data'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/data-specialist-menselijke-validatie-kantoor-1-495x400.jpg\" class=\"wp-image-14737 avia-img-lazy-loading-not-14737 attachment-portfolio size-portfolio wp-post-image\" alt=\"\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/data-specialist-menselijke-validatie-kantoor-1-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/data-specialist-menselijke-validatie-kantoor-1-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: Stop chasing 100% automation: A smarter strategy for flawless data\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/stop-chasing-100-automation-a-smarter-strategy-for-flawless-data\/'  title='Stop chasing 100% automation: A smarter strategy for flawless data'>Stop chasing 100% automation: A smarter strategy for flawless data<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/featured\/\" rel=\"tag\">Featured<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Chasing 100% automation is a costly trap. Discover why a Human-in-the-Loop strategy is the smarter route to flawless data and quicker ROI.\n<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/stop-chasing-100-automation-a-smarter-strategy-for-flawless-data\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-02-06T14:50:06+01:00\" >6 February 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/02\/data-specialist-menselijke-validatie-kantoor-1.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-02-06 14:50:06<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-03-06 15:47:40<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>Stop chasing 100% automation: A smarter strategy for flawless data<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-13836 slide-entry-overview slide-loop-4 slide-parity-even  post-entry-last  av_one_fourth  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/the-best-logistics-ai-the-one-with-400-colleagues-included\/' data-rel='slide-1' class='slide-image' title='The best logistics AI? The one with 400+ colleagues included!'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2025\/07\/blog-dm-ai-400-collegas-495x400.jpg\" class=\"wp-image-13840 avia-img-lazy-loading-not-13840 attachment-portfolio size-portfolio wp-post-image\" alt=\"\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2025\/07\/blog-dm-ai-400-collegas-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2025\/07\/blog-dm-ai-400-collegas-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: The best logistics AI? The one with 400+ colleagues included!\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/the-best-logistics-ai-the-one-with-400-colleagues-included\/'  title='The best logistics AI? The one with 400+ colleagues included!'>The best logistics AI? The one with 400+ colleagues included!<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/featured\/\" rel=\"tag\">Featured<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >\n\n\n\n\nAI, automation, RPA, machine learning\u2026 The marketing engines are running at full speed. Every day,\u2026<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/the-best-logistics-ai-the-one-with-400-colleagues-included\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2025-07-23T10:37:13+02:00\" >23 July 2025<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2025\/07\/blog-dm-ai-400-collegas.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>1200<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1200<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>bpropsma<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>bpropsma<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2025-07-23 10:37:13<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-04-01 10:28:39<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>The best logistics AI? The one with 400+ colleagues included!<\/span><\/span><\/span><\/article><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mmjdo8qt-a0e3e4d692876aa432e462a2b0c27eb9\">\n#top .av-special-heading.av-mmjdo8qt-a0e3e4d692876aa432e462a2b0c27eb9{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-mmjdo8qt-a0e3e4d692876aa432e462a2b0c27eb9 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-mmjdo8qt-a0e3e4d692876aa432e462a2b0c27eb9 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-mmjdo8qt-a0e3e4d692876aa432e462a2b0c27eb9 av-special-heading-h2 blockquote modern-quote  avia-builder-el-5  el_after_av_blog  el_before_av_blog  pijltje'><h2 class='av-special-heading-tag '  itemprop=\"headline\"  > Other blogs<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n<div  data-slideshow-options=\"{&quot;animation&quot;:&quot;fade&quot;,&quot;autoplay&quot;:false,&quot;loop_autoplay&quot;:&quot;once&quot;,&quot;interval&quot;:5,&quot;loop_manual&quot;:&quot;manual-endless&quot;,&quot;autoplay_stopper&quot;:false,&quot;noNavigation&quot;:false,&quot;show_slide_delay&quot;:90}\" class='avia-content-slider avia-content-grid-active avia-content-slider2 avia-content-slider-odd  avia-builder-el-6  el_after_av_heading  avia-builder-el-last  overig av-slideshow-ui av-control-default   av-no-slider-navigation av-slideshow-manual av-loop-once av-loop-manual-endless '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Blog\" ><div class=\"avia-content-slider-inner\"><div class=\"slide-entry-wrap\"><article class='slide-entry flex_column  post-entry post-entry-17330 slide-entry-overview slide-loop-1 slide-parity-odd  av_one_third first fake-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/processing-car-damage-claims-in-house-vs-nearshoring\/' data-rel='slide-2' class='slide-image' title='Efficiently Processing Car Damage Claims &#038; Repair Quotes: In-House vs. Nearshoring'><span class='fallback-post-type-icon avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='pencil' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"25\" height=\"32\" viewBox=\"0 0 25 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M22.976 5.44q1.024 1.024 1.504 2.048t0.48 1.536v0.512l-8.064 8.064-9.28 9.216-7.616 1.664 1.6-7.68 9.28-9.216 8.064-8.064q1.728-0.384 4.032 1.92zM7.168 25.92l0.768-0.768q-0.064-1.408-1.664-3.008-0.704-0.704-1.44-1.12t-1.12-0.416l-0.448-0.064-0.704 0.768-0.576 2.56q0.896 0.512 1.472 1.088 0.768 0.768 1.152 1.536z\"><\/path>\n<\/svg><\/span><span class='slider-fallback-image'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/data-hygiene-supply-chain-control-towers-blind-spots-en-featured-495x400.jpg\" class=\"wp-image-16929 avia-img-lazy-loading-not-16929 attachment-portfolio size-portfolio wp-post-image\" alt=\"Logistics center featuring a digital network map for control tower data integration and strategic data analysis.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/data-hygiene-supply-chain-control-towers-blind-spots-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/data-hygiene-supply-chain-control-towers-blind-spots-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/span><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: Efficiently Processing Car Damage Claims &amp; Repair Quotes: In-House vs. Nearshoring\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/processing-car-damage-claims-in-house-vs-nearshoring\/'  title='Efficiently Processing Car Damage Claims &#038; Repair Quotes: In-House vs. Nearshoring'>Efficiently Processing Car Damage Claims &#038; Repair Quotes: In-House vs. Nearshoring<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Processing car damage claims efficiently requires a strategic approach. Discover why combining RPA with EU nearshoring beats traditional in-house models.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/processing-car-damage-claims-in-house-vs-nearshoring\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-09-13T09:00:00+02:00\" >13 September 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>0<\/span>\n\t\t\t\t\t\t<span itemprop='width'>0<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-09-13 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-08-11 10:23:58<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>Efficiently Processing Car Damage Claims &#038; Repair Quotes: In-House vs. Nearshoring<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-17187 slide-entry-overview slide-loop-2 slide-parity-even  av_one_third  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/blind-spots-global-logistics-rfqs-excel-chaos\/' data-rel='slide-2' class='slide-image' title='The Blind Spots in Global Logistics RFQs: Where Local Surcharges Disappear in Excel Chaos'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/blind-spots-global-logistics-rfqs-excel-chaos-en-featured-495x400.jpg\" class=\"wp-image-17185 avia-img-lazy-loading-not-17185 attachment-portfolio size-portfolio wp-post-image\" alt=\"Desk covered in logistics tariffs and an Excel spreadsheet for cost calculation in international tenders in total chaos.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/blind-spots-global-logistics-rfqs-excel-chaos-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/blind-spots-global-logistics-rfqs-excel-chaos-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: The Blind Spots in Global Logistics RFQs: Where Local Surcharges Disappear in Excel Chaos\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/blind-spots-global-logistics-rfqs-excel-chaos\/'  title='The Blind Spots in Global Logistics RFQs: Where Local Surcharges Disappear in Excel Chaos'>The Blind Spots in Global Logistics RFQs: Where Local Surcharges Disappear in Excel Chaos<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Uncover why manual data entry causes massive margin erosion in global logistics RFQs, and how to secure accurate cost calculations in international tenders.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/blind-spots-global-logistics-rfqs-excel-chaos\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-09-09T09:00:00+02:00\" >9 September 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/blind-spots-global-logistics-rfqs-excel-chaos-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-09-09 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-07-28 16:32:47<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>The Blind Spots in Global Logistics RFQs: Where Local Surcharges Disappear in Excel Chaos<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-17387 slide-entry-overview slide-loop-3 slide-parity-odd  av_one_third  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/scale-logistics-ai-pilot-validation-bottleneck\/' data-rel='slide-2' class='slide-image' title='How to Scale Your Logistics AI Pilot to Production: Solving the Validation Bottleneck'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/scale-logistics-ai-pilot-validation-bottleneck-en-featured-495x400.jpg\" class=\"wp-image-17386 avia-img-lazy-loading-not-17386 attachment-portfolio size-portfolio wp-post-image\" alt=\"Logistics dashboard and data specialists scaling an AI pilot in a modern office for process validation.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/scale-logistics-ai-pilot-validation-bottleneck-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/scale-logistics-ai-pilot-validation-bottleneck-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: How to Scale Your Logistics AI Pilot to Production: Solving the Validation Bottleneck\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/scale-logistics-ai-pilot-validation-bottleneck\/'  title='How to Scale Your Logistics AI Pilot to Production: Solving the Validation Bottleneck'>How to Scale Your Logistics AI Pilot to Production: Solving the Validation Bottleneck<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Transitioning a logistics AI pilot to production? Discover how to overcome the OCR validation bottleneck with dynamic routing, HITL, and EU nearshoring.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/scale-logistics-ai-pilot-validation-bottleneck\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-09-08T09:00:00+02:00\" >8 September 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/scale-logistics-ai-pilot-validation-bottleneck-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-09-08 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-08-11 15:04:54<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>How to Scale Your Logistics AI Pilot to Production: Solving the Validation Bottleneck<\/span><\/span><\/span><\/article><\/div><div class=\"slide-entry-wrap\"><article class='slide-entry flex_column  post-entry post-entry-17370 slide-entry-overview slide-loop-4 slide-parity-odd  av_one_third first real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/delayed-month-end-close-expense-reports\/' data-rel='slide-2' class='slide-image' title='The Delayed Month-End Close: How Scattered Expense Reports Derail Financial Reporting'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/delayed-month-end-close-expense-reports-en-featured-495x400.jpg\" class=\"wp-image-17368 avia-img-lazy-loading-not-17368 attachment-portfolio size-portfolio wp-post-image\" alt=\"Frustrated finance professional dealing with a pile of receipts for the expense report month-end close in a modern corporate office.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/delayed-month-end-close-expense-reports-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/delayed-month-end-close-expense-reports-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: The Delayed Month-End Close: How Scattered Expense Reports Derail Financial Reporting\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/delayed-month-end-close-expense-reports\/'  title='The Delayed Month-End Close: How Scattered Expense Reports Derail Financial Reporting'>The Delayed Month-End Close: How Scattered Expense Reports Derail Financial Reporting<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Stop chasing missing receipts. Discover how delayed expense reports derail your month-end close and learn strategies to regain control over financial reporting.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/delayed-month-end-close-expense-reports\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-09-07T09:00:00+02:00\" >7 September 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/delayed-month-end-close-expense-reports-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-09-07 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-08-11 14:36:26<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>The Delayed Month-End Close: How Scattered Expense Reports Derail Financial Reporting<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-17338 slide-entry-overview slide-loop-5 slide-parity-even  av_one_third  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/risks-blind-data-imports-automated-cms-management\/' data-rel='slide-2' class='slide-image' title='The Hidden Risks of Blind Data Imports: How Automated CMS Management Harms the Customer Experience'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/risks-blind-data-imports-automated-cms-management-en-featured-495x400.jpg\" class=\"wp-image-17336 avia-img-lazy-loading-not-17336 attachment-portfolio size-portfolio wp-post-image\" alt=\"Red data stream flowing from a server to warehouse containers, highlighting automated CMS management issues.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/risks-blind-data-imports-automated-cms-management-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/risks-blind-data-imports-automated-cms-management-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: The Hidden Risks of Blind Data Imports: How Automated CMS Management Harms the Customer Experience\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/risks-blind-data-imports-automated-cms-management\/'  title='The Hidden Risks of Blind Data Imports: How Automated CMS Management Harms the Customer Experience'>The Hidden Risks of Blind Data Imports: How Automated CMS Management Harms the Customer Experience<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Discover how blind data imports disrupt supply chains, and why human-in-the-loop validation prevents costly automated CMS management issues.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/risks-blind-data-imports-automated-cms-management\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-09-05T09:00:00+02:00\" >5 September 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/08\/risks-blind-data-imports-automated-cms-management-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-09-05 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-08-11 13:12:45<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>The Hidden Risks of Blind Data Imports: How Automated CMS Management Harms the Customer Experience<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-16883 slide-entry-overview slide-loop-6 slide-parity-odd  av_one_third  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/ai-ocr-data-validation-peak-season-strategies\/' data-rel='slide-2' class='slide-image' title='How to Maintain AI Accuracy During Peak Logistics Volumes: Strategies Compared'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/ai-ocr-data-validation-peak-season-strategies-en-featured-495x400.jpg\" class=\"wp-image-16881 avia-img-lazy-loading-not-16881 attachment-portfolio size-portfolio wp-post-image\" alt=\"Logistics manager analysing a dashboard for AI OCR data validation during peak season in a modern distribution centre.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/ai-ocr-data-validation-peak-season-strategies-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/ai-ocr-data-validation-peak-season-strategies-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: How to Maintain AI Accuracy During Peak Logistics Volumes: Strategies Compared\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/ai-ocr-data-validation-peak-season-strategies\/'  title='How to Maintain AI Accuracy During Peak Logistics Volumes: Strategies Compared'>How to Maintain AI Accuracy During Peak Logistics Volumes: Strategies Compared<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >When document volumes spike, validation layers break first. Compare four strategies to maintain AI OCR data validation accuracy during peak season.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/ai-ocr-data-validation-peak-season-strategies\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-09-01T09:00:00+02:00\" >1 September 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/ai-ocr-data-validation-peak-season-strategies-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-09-01 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-07-15 22:52:28<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>How to Maintain AI Accuracy During Peak Logistics Volumes: Strategies Compared<\/span><\/span><\/span><\/article><\/div><div class=\"slide-entry-wrap\"><article class='slide-entry flex_column  post-entry post-entry-17133 slide-entry-overview slide-loop-7 slide-parity-odd  av_one_third first real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/structuring-logistics-tender-data-rfq-preparation\/' data-rel='slide-2' class='slide-image' title='Structuring Freight Data for Complex Logistics Tenders: Solutions for Financial RFQ Preparation'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/structuring-logistics-tender-data-rfq-preparation-en-featured-495x400.jpg\" class=\"wp-image-17131 avia-img-lazy-loading-not-17131 attachment-portfolio size-portfolio wp-post-image\" alt=\"Structuring logistics tender data via a digital interface that transforms unstructured freight data.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/structuring-logistics-tender-data-rfq-preparation-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/structuring-logistics-tender-data-rfq-preparation-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: Structuring Freight Data for Complex Logistics Tenders: Solutions for Financial RFQ Preparation\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/structuring-logistics-tender-data-rfq-preparation\/'  title='Structuring Freight Data for Complex Logistics Tenders: Solutions for Financial RFQ Preparation'>Structuring Freight Data for Complex Logistics Tenders: Solutions for Financial RFQ Preparation<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Poor freight data erodes profit margins. Discover how hybrid data processing and EU nearshoring help logistics providers structure tender data for accurate RFQs.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/structuring-logistics-tender-data-rfq-preparation\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-08-31T09:00:00+02:00\" >31 August 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/structuring-logistics-tender-data-rfq-preparation-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-08-31 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-07-28 15:41:00<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>Structuring Freight Data for Complex Logistics Tenders: Solutions for Financial RFQ Preparation<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-17045 slide-entry-overview slide-loop-8 slide-parity-even  av_one_third  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/uom-mismatches-sabotage-automated-invoice-processing\/' data-rel='slide-2' class='slide-image' title='Pieces, Boxes, or Pallets? How UOM Mismatches Sabotage Automated Procurement'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/uom-mismatches-sabotage-automated-invoice-processing-en-featured-495x400.jpg\" class=\"wp-image-17043 avia-img-lazy-loading-not-17043 attachment-portfolio size-portfolio wp-post-image\" alt=\"Financial specialist analyzing order data and unit of measure mismatches for invoice processing in a modern office building.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/uom-mismatches-sabotage-automated-invoice-processing-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/uom-mismatches-sabotage-automated-invoice-processing-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: Pieces, Boxes, or Pallets? How UOM Mismatches Sabotage Automated Procurement\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/uom-mismatches-sabotage-automated-invoice-processing\/'  title='Pieces, Boxes, or Pallets? How UOM Mismatches Sabotage Automated Procurement'>Pieces, Boxes, or Pallets? How UOM Mismatches Sabotage Automated Procurement<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >Discover how unit of measure (UOM) mismatches disrupt automated 3-way matching and inflate back-office processing costs\u2014and learn how to resolve them.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/uom-mismatches-sabotage-automated-invoice-processing\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-08-27T09:00:00+02:00\" >27 August 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/uom-mismatches-sabotage-automated-invoice-processing-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-08-27 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-07-28 14:04:38<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>Pieces, Boxes, or Pallets? How UOM Mismatches Sabotage Automated Procurement<\/span><\/span><\/span><\/article><article class='slide-entry flex_column  post-entry post-entry-16931 slide-entry-overview slide-loop-9 slide-parity-odd  post-entry-last  av_one_third  real-thumbnail posttype-post post-format-standard'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><a href='https:\/\/www.datamondial.com\/en\/data-hygiene-supply-chain-control-towers-blind-spots\/' data-rel='slide-2' class='slide-image' title='Data Hygiene for Supply Chain Control Towers: Eliminating Operational Blind Spots'><img decoding=\"async\" fetchpriority=\"high\" width=\"495\" height=\"400\" src=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/data-hygiene-supply-chain-control-towers-blind-spots-en-featured-495x400.jpg\" class=\"wp-image-16929 avia-img-lazy-loading-not-16929 attachment-portfolio size-portfolio wp-post-image\" alt=\"Logistics center featuring a digital network map for control tower data integration and strategic data analysis.\" srcset=\"https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/data-hygiene-supply-chain-control-towers-blind-spots-en-featured-495x400.jpg 495w, https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/data-hygiene-supply-chain-control-towers-blind-spots-en-featured-845x684.jpg 845w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/a><div class=\"slide-content\"><header class=\"entry-content-header\" aria-label=\"Slide: Data Hygiene for Supply Chain Control Towers: Eliminating Operational Blind Spots\"><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" ><a href='https:\/\/www.datamondial.com\/en\/data-hygiene-supply-chain-control-towers-blind-spots\/'  title='Data Hygiene for Supply Chain Control Towers: Eliminating Operational Blind Spots'>Data Hygiene for Supply Chain Control Towers: Eliminating Operational Blind Spots<\/a><\/h3><span class=\"blog-categories minor-meta\"><a href=\"https:\/\/www.datamondial.com\/en\/category\/blog-en\/\" rel=\"tag\">Blog<\/a> <\/span><span class=\"av-vertical-delimiter\"><\/span><\/header><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" >A control tower is only as reliable as its data. Discover three proven methods for control tower data integration to eliminate supply chain blind spots.<div class=\"read-more-link postslider\"><a href=\"https:\/\/www.datamondial.com\/en\/data-hygiene-supply-chain-control-towers-blind-spots\/\" class=\"more-link internal\">Read more<span class='more-link-arrow avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" role=\"graphics-symbol\" aria-hidden=\"true\">\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><\/span><\/a><\/div><\/div><\/div><footer class=\"entry-footer\"><div class=\"slide-meta\"><time class='slide-meta-time updated'  itemprop=\"datePublished\" datetime=\"2026-08-25T09:00:00+02:00\" >25 August 2026<\/time><\/div><\/footer><span class='hidden'>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" >\n\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2026\/07\/data-hygiene-supply-chain-control-towers-blind-spots-en-featured.jpg<\/span>\n\t\t\t\t\t\t<span itemprop='height'>768<\/span>\n\t\t\t\t\t\t<span itemprop='width'>1376<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t<span class='av-structured-data'  itemprop=\"publisher\" itemtype=\"https:\/\/schema.org\/Organization\" itemscope=\"itemscope\" >\n\t\t\t\t\t\t<span itemprop='name'>Ralph van Es<\/span>\n\t\t\t\t\t\t<span itemprop='logo' itemscope itemtype='https:\/\/schema.org\/ImageObject'>\n\t\t\t\t\t\t\t<span itemprop='url'>https:\/\/www.datamondial.com\/wp-content\/uploads\/2022\/10\/datamondial_onderschrift.svg<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span><span class='av-structured-data'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><span itemprop='name'>Ralph van Es<\/span><\/span><span class='av-structured-data'  itemprop=\"datePublished\" datetime=\"2023-06-21T14:50:26+02:00\" >2026-08-25 09:00:00<\/span><span class='av-structured-data'  itemprop=\"dateModified\" itemtype=\"https:\/\/schema.org\/dateModified\" >2026-07-15 22:43:50<\/span><span class='av-structured-data'  itemprop=\"mainEntityOfPage\" itemtype=\"https:\/\/schema.org\/mainEntityOfPage\" ><span itemprop='name'>Data Hygiene for Supply Chain Control Towers: Eliminating Operational Blind Spots<\/span><\/span><\/span><\/article><\/div><\/div><div class='pagination-wrap pagination-slider'><nav class='pagination'><span class='pagination-meta'>Page 1 of 15<\/span><span class='current'>1<\/span><a href='https:\/\/www.datamondial.com\/en\/wp-json\/wp\/v2\/pages\/12612\/?avia-element-paging=2' class='inactive next_page' >2<\/a><a href='https:\/\/www.datamondial.com\/en\/wp-json\/wp\/v2\/pages\/12612\/?avia-element-paging=3' class='inactive' >3<\/a><a href='https:\/\/www.datamondial.com\/en\/wp-json\/wp\/v2\/pages\/12612\/?avia-element-paging=2'>&rsaquo;<\/a><a href='https:\/\/www.datamondial.com\/en\/wp-json\/wp\/v2\/pages\/12612\/?avia-element-paging=15'>&raquo;<\/a><\/nav>\n<\/div><\/div><\/p><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-12612","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - 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