{"id":229,"date":"2025-05-28T12:28:14","date_gmt":"2025-05-28T12:28:14","guid":{"rendered":"http:\/\/test.tranistics.com\/nvision\/?page_id=229"},"modified":"2026-05-12T12:34:41","modified_gmt":"2026-05-12T12:34:41","slug":"ai-outlier-detection","status":"publish","type":"page","link":"http:\/\/test.tranistics.com\/nvision\/ai-outlier-detection\/","title":{"rendered":"AI Outlier Detection"},"content":{"rendered":"<p><section class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background hero-abstract nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_2 1_2 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:3.84%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:3.84%;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:3.84%;--awb-spacing-left-medium:3.84%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"hero-eyebrow\">INTELLIGENT FREIGHT MONITORING POWERED BY AI<\/div><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-one\" style=\"--awb-text-color:var(--awb-color1);--awb-font-size:50px;\"><h1 class=\"fusion-title-heading title-heading-left\" style=\"font-family:&quot;Open Sans&quot;;font-style:normal;font-weight:700;margin:0;font-size:1em;\">AI-Driven Outlier Detection for <span class=\"grad\">Global Freight Operations<\/span><\/h1><\/div><div class=\"fusion-text fusion-text-1\" style=\"--awb-text-color:var(--awb-color1);\"><p>nVision Global\u2019s AI Outlier Detection technology continuously analyzes freight data to identify unusual cost patterns, operational anomalies, and billing inconsistencies across transportation networks.<\/p>\n<\/div><div ><a class=\"fusion-button button-flat fusion-button-default-size button-custom fusion-button-default button-1 fusion-button-default-span fusion-button-default-type\" style=\"--button_accent_color:var(--awb-color1);--button_accent_hover_color:var(--awb-color5);--button_border_hover_color:var(--awb-color1);--button_gradient_top_color:var(--awb-custom_color_2);--button_gradient_bottom_color:var(--awb-custom_color_2);--button_gradient_top_color_hover:var(--awb-color1);--button_gradient_bottom_color_hover:var(--awb-color1);\" target=\"_self\"><span class=\"fusion-button-text\">Schedule a Consultation<\/span><\/a><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_2 1_2 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:3.84%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:3.84%;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:3.84%;--awb-spacing-left-medium:3.84%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"hero-visual rv active d2 in\">\n      <div class=\"ai-vision-anim\">\n        <div class=\"ai-lens\"><\/div>\n        <div class=\"ai-lens-inner\"><\/div>\n\n        <div class=\"track-line\"><\/div>\n\n        <!-- Normal Packets -->\n        <div class=\"packet normal p1\"><i class=\"fa-solid fa-box\"><\/i><\/div>\n        <div class=\"packet normal p2\"><i class=\"fa-solid fa-file-invoice\"><\/i><\/div>\n\n        <!-- Outlier Packet -->\n        <div class=\"packet outlier\">\n          <i class=\"fa-solid fa-file-invoice-dollar\"><\/i>\n        <\/div>\n\n        <!-- Targeting System -->\n        <div class=\"target-box\">\n          <span class=\"corner tl\"><\/span>\n          <span class=\"corner tr\"><\/span>\n          <span class=\"corner bl\"><\/span>\n          <span class=\"corner br\"><\/span>\n        <\/div>\n\n        <div class=\"alert-label\">ANOMALY DETECTED<\/div>\n      <\/div>\n    <\/div><\/div><\/div><\/div><\/section><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:50px;--awb-padding-bottom:20px;--awb-background-color:#f8fafc;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:3.84%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:3.84%;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:3.84%;--awb-spacing-left-medium:3.84%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color7);--awb-font-size:32px;\"><h2 class=\"fusion-title-heading title-heading-left\" style=\"font-family:&quot;Open Sans&quot;;font-style:normal;font-weight:700;margin:0;font-size:1em;\">Turning Freight Data into <span class=\"grad\">Proactive Intelligence<\/span><\/h2><\/div><div class=\"fusion-text fusion-text-2 fusion-text-no-margin\" style=\"--awb-content-alignment:left;--awb-margin-top:5px;--awb-margin-bottom:15px;\"><p>Global transportation operations generate enormous volumes of shipment, invoice, and operational data.<\/p>\n<\/div><div class=\"fusion-text fusion-text-3 fusion-text-no-margin\" style=\"--awb-content-alignment:left;--awb-margin-top:5px;--awb-margin-bottom:15px;\"><p>Hidden within that data are patterns that can reveal inefficiencies, billing errors, supplier behavior changes, and unexpected cost fluctuations.<\/p>\n<\/div><div class=\"fusion-text fusion-text-4 fusion-text-no-margin\" style=\"--awb-content-alignment:left;--awb-margin-top:5px;--awb-margin-bottom:15px;\"><p>nVision Global\u2019s AI Outlier Detection platform uses machine learning and advanced analytics to monitor freight activity and automatically identify anomalies that may require investigation.<\/p>\n<\/div><div class=\"fusion-text fusion-text-5 fusion-text-no-margin\" style=\"--awb-content-alignment:left;--awb-margin-top:5px;--awb-margin-bottom:15px;\"><p>This intelligence allows organizations to detect potential issues earlier and respond with greater confidence.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:3.84%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:3.84%;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:3.84%;--awb-spacing-left-medium:3.84%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-column\"><div class=\"rv d2 in\" style=\"background:white; padding:40px; border-radius:14px; border:1.5px solid var(--border); box-shadow:var(--sh1);\">\n      <p class=\"sec-desc\" style=\"margin-bottom:16px;\">Traditional freight management systems often identify problems only after invoices are processed or reports are generated.<\/p>\n      <p class=\"sec-desc\" style=\"margin-bottom:16px;\">AI Outlier Detection changes this model by continuously analyzing transportation data to detect irregular patterns as they emerge. This allows organizations to:<\/p>\n      \n      <ul class=\"list-block\">\n        <li>Identify unusual freight cost increases<\/li>\n        <li>Detect billing discrepancies and anomalies<\/li>\n        <li>Recognize changes in supplier or carrier behavior<\/li>\n        <li>Investigate unexpected shipment trends<\/li>\n        <li>Improve operational and financial oversight<\/li>\n      <\/ul>\n      <p class=\"sec-desc\" style=\"margin-top:16px; margin-bottom:0; font-weight:600;\">By identifying these signals early, organizations gain the ability to act before issues become larger financial or operational problems.<\/p>\n    <\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:30px;--awb-padding-bottom:20px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 fusion_builder_column_3_5 3_5 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-bg-size:cover;--awb-width-large:60%;--awb-margin-top-large:0px;--awb-spacing-right-large:3.2%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:3.2%;--awb-width-medium:60%;--awb-order-medium:0;--awb-spacing-right-medium:3.2%;--awb-spacing-left-medium:3.2%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-3 fusion-sep-none fusion-title-center fusion-title-text fusion-title-size-three\" style=\"--awb-text-color:var(--awb-color7);--awb-font-size:32px;\"><h3 class=\"fusion-title-heading title-heading-center\" style=\"font-family:&quot;Open Sans&quot;;font-style:normal;font-weight:700;margin:0;font-size:1em;\">Types of Anomalies <span class=\"grad\">Detected <\/span><\/h3><\/div><div class=\"fusion-text fusion-text-6\" style=\"--awb-content-alignment:center;\"><p>nVision\u2019s AI Outlier Detection technology analyzes freight data across multiple dimensions to identify patterns that fall outside expected norms.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-5 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"proof-grid rv d1 in\">\n      \n      <div class=\"proof-card\">\n        <h3 class=\"sec-title\" >Pattern Deviation Detection<\/h3>\n        <p class=\"sec-desc\" style=\"margin-bottom:12px;\">AI identifies unusual shifts in transportation patterns, including:<\/p>\n        <ul class=\"list-block\" style=\"margin-bottom:16px;\">\n          <li style=\"font-size:0.85rem;\">Sudden spikes in shipment volume from a vendor<\/li>\n          <li style=\"font-size:0.85rem;\">Unexpected increases in cost-per-unit trends<\/li>\n          <li style=\"font-size:0.85rem;\">Deviations from historical shipment patterns<\/li>\n        <\/ul>\n        <p class=\"sec-desc\" style=\"font-size:0.85rem;\">These insights help organizations detect operational changes that may impact costs or performance.<\/p>\n      <\/div>\n      \n      <div class=\"proof-card\">\n        <h3 class=\"sec-title\" >Time-Based Anomalies<\/h3>\n        <p class=\"sec-desc\" style=\"margin-bottom:12px;\">AI monitors billing and operational timing to detect irregular activity such as:<\/p>\n        <ul class=\"list-block\" style=\"margin-bottom:16px;\">\n          <li style=\"font-size:0.85rem;\">Invoices submitted outside typical billing cycles<\/li>\n          <li style=\"font-size:0.85rem;\">Weekend or after-hours billing activity<\/li>\n          <li style=\"font-size:0.85rem;\">Backdated or delayed invoice submissions<\/li>\n        <\/ul>\n        <p class=\"sec-desc\" style=\"font-size:0.85rem;\">These patterns may indicate billing discrepancies or operational irregularities that require review.<\/p>\n      <\/div>\n\n      <div class=\"proof-card\">\n        <h3 class=\"sec-title\">Vendor or Carrier Behavior Changes<\/h3>\n        <p class=\"sec-desc\" style=\"margin-bottom:12px;\">Transportation providers and suppliers may change billing structures, routing behavior, or service patterns over time. AI helps identify these shifts by detecting:<\/p>\n        <ul class=\"list-block\" style=\"margin-bottom:16px;\">\n          <li style=\"font-size:0.85rem;\">Sudden changes in billing formats or timing<\/li>\n          <li style=\"font-size:0.85rem;\">Unexpected cost structure changes<\/li>\n          <li style=\"font-size:0.85rem;\">Variations in routing or service selection<\/li>\n        <\/ul>\n        <p class=\"sec-desc\" style=\"font-size:0.85rem;\">Understanding these behavioral shifts allows organizations to investigate and correct potential issues more quickly.<\/p>\n      <\/div>\n\n    <\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-4 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:50px;--awb-padding-bottom:40px;--awb-background-color:#023a54;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-6 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:3.84%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:3.84%;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:3.84%;--awb-spacing-left-medium:3.84%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-column\"><div class=\"rv d1 in\">\n      <div class=\"synergy-anim\">\n        <div class=\"syn-bg-grid\"><\/div>\n        \n        <svg class=\"syn-path\" viewBox=\"0 0 400 380\" preserveAspectRatio=\"xMidYMid slice\">\n          <path d=\"M 80 76 Q 200 76 300 190\" class=\"syn-line\"><\/path>\n          <path d=\"M 80 304 Q 200 304 300 190\" class=\"syn-line\"><\/path>\n          <path d=\"M 80 76 Q 200 76 300 190\" class=\"syn-pulse\"><\/path>\n          <path d=\"M 80 304 Q 200 304 300 190\" class=\"syn-pulse p2\"><\/path>\n        <\/svg>\n\n        <div class=\"syn-node ai\"><i class=\"fa-solid fa-microchip\"><\/i><\/div>\n        <div class=\"syn-node human\"><i class=\"fa-solid fa-user-tie\"><\/i><\/div>\n        \n        <div class=\"syn-node outcome\">\n          <i class=\"fa-solid fa-shield-halved\"><\/i>\n          <span>PROACTIVE<\/span>\n        <\/div>\n      <\/div>\n    <\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-7 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:3.84%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:3.84%;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:3.84%;--awb-spacing-left-medium:3.84%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-4 fusion-sep-none fusion-title-text fusion-title-size-three\" style=\"--awb-text-color:var(--awb-color1);--awb-font-size:32px;\"><h3 class=\"fusion-title-heading title-heading-left\" style=\"font-family:&quot;Open Sans&quot;;font-style:normal;font-weight:700;margin:0;font-size:1em;\">AI + Human <span class=\"grad\">Expertise<\/span><\/h3><\/div><div class=\"fusion-text fusion-text-7\" style=\"--awb-content-alignment:left;--awb-text-color:var(--awb-color1);\"><p>Artificial intelligence can identify patterns and anomalies within large datasets, but experienced professionals are still essential for interpreting and resolving complex logistics issues.<\/p>\n<\/div><div class=\"fusion-text fusion-text-8\" style=\"--awb-content-alignment:left;--awb-text-color:var(--awb-color1);\"><p>nVision combines AI-driven detection with experienced logistics analysts who investigate anomalies, validate findings, and recommend appropriate actions.<\/p>\n<\/div><div class=\"fusion-text fusion-text-9\" style=\"--awb-content-alignment:left;--awb-text-color:var(--awb-color1);\"><p>This combination of technology and expertise allows organizations to move from reactive problem solving to proactive freight management.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-5 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:45px;--awb-padding-bottom:40px;--awb-background-color:#f6f9fc;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-8 fusion_builder_column_4_5 4_5 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-bg-size:cover;--awb-width-large:80%;--awb-margin-top-large:0px;--awb-spacing-right-large:2.4%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.4%;--awb-width-medium:80%;--awb-order-medium:0;--awb-spacing-right-medium:2.4%;--awb-spacing-left-medium:2.4%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-column\"><div class=\"hero-eyebrow centreclass\">nVision Ecosystem<\/div><div class=\"fusion-title title fusion-title-5 fusion-sep-none fusion-title-center fusion-title-text fusion-title-size-three\" style=\"--awb-text-color:var(--awb-color7);--awb-font-size:32px;\"><h3 class=\"fusion-title-heading title-heading-center\" style=\"font-family:&quot;Open Sans&quot;;font-style:normal;font-weight:700;margin:0;font-size:1em;\">Part of the nVision <span class=\"grad\">Intelligence Platform<\/span><\/h3><\/div><div class=\"fusion-text fusion-text-10\" style=\"--awb-content-alignment:center;\"><p>AI Outlier Detection is integrated within the broader nVision Ecosystem, which connects transportation execution, freight audit, claims management, and analytics into one intelligent platform.<\/p>\n<\/div><div class=\"fusion-text fusion-text-11\" style=\"--awb-content-alignment:center;\"><p><strong>The ecosystem includes:<\/strong><\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-9 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"eco-network rv d1 in\">\n      <div class=\"eco-col\">\n        <div class=\"eco-node\">\n          <div class=\"eco-node-ic\"><i class=\"fa-solid fa-truck\"><\/i><\/div>\n          <div class=\"eco-node-txt\"><h4>IMPACT TMS<\/h4><p>Transportation Management System<\/p><\/div>\n        <\/div>\n        \n \t\t<div class=\"eco-node\">\n          <div class=\"eco-node-ic\"><i class=\"fa-solid fa-file-invoice-dollar\"><\/i><\/div>\n          <div class=\"eco-node-txt\"><h4>Freight Audit & Payment<\/h4><\/div>\n        <\/div>\n\n      <\/div>\n\n      <div class=\"eco-core-wrap-ext\">\n        <div class=\"eco-core\">\n          <span class=\"core-eyebrow\">nVision<\/span>\n          <span class=\"core-title\">Unified<br>Platform<\/span>\n        <\/div>\n      <\/div>\n\n      <div class=\"eco-col\">\n\n\t\t<div class=\"eco-node\">\n          <div class=\"eco-node-ic\"><i class=\"fa-solid fa-scale-balanced\"><\/i><\/div>\n          <div class=\"eco-node-txt\"><h4>Freight Claims Management<\/h4><\/div>\n        <\/div>\n\n       \n        <div class=\"eco-node\">\n          <div class=\"eco-node-ic\"><i class=\"fa-solid fa-chart-pie\"><\/i><\/div>\n          <div class=\"eco-node-txt\"><h4>Freight Intelligence & Analytics<\/h4><\/div>\n        <\/div>\n\n\t\t<div class=\"eco-node active\">\n          <div class=\"eco-node-ic\"><i class=\"fa-solid fa-microchip\"><\/i><\/div>\n          <div class=\"eco-node-txt\"><h4>AI Outlier Detection<\/h4><\/div>\n        <\/div>\n        \n      <\/div>\n    <\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-10 fusion_builder_column_4_5 4_5 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-padding-top:40px;--awb-bg-size:cover;--awb-width-large:80%;--awb-margin-top-large:0px;--awb-spacing-right-large:2.4%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.4%;--awb-width-medium:80%;--awb-order-medium:0;--awb-spacing-right-medium:2.4%;--awb-spacing-left-medium:2.4%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-column\"><div class=\"fusion-text fusion-text-12 fusion-text-no-margin\" style=\"--awb-content-alignment:center;--awb-margin-bottom:0px;\"><p>Together, these capabilities provide organizations with both operational visibility and financial governance across global freight operations.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-6 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:50px;--awb-padding-bottom:50px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-11 fusion_builder_column_2_3 2_3 fusion-flex-column fusion-flex-align-self-stretch\" style=\"--awb-bg-size:cover;--awb-width-large:66.666666666667%;--awb-margin-top-large:0px;--awb-spacing-right-large:2.88%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.88%;--awb-width-medium:66.666666666667%;--awb-order-medium:0;--awb-spacing-right-medium:2.88%;--awb-spacing-left-medium:2.88%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-column\"><div class=\"hero-eyebrow centreclass\">Call to Action<\/div><div class=\"fusion-title title fusion-title-6 fusion-sep-none fusion-title-center fusion-title-text fusion-title-size-three\" style=\"--awb-text-color:var(--awb-color7);--awb-font-size:32px;\"><h3 class=\"fusion-title-heading title-heading-center\" style=\"font-family:&quot;Open Sans&quot;;font-style:normal;font-weight:700;margin:0;font-size:1em;\">Identify Hidden Risks in <span class=\"grad\">Your Freight Data<\/span><\/h3><\/div><div class=\"fusion-text fusion-text-13\" style=\"--awb-content-alignment:center;\"><p>Learn how nVision Global\u2019s AI Outlier Detection technology can help your organization uncover anomalies, reduce unnecessary costs, and improve visibility across transportation operations.<\/p>\n<\/div><div style=\"text-align:center;\"><a class=\"fusion-button button-flat fusion-button-default-size button-custom fusion-button-default button-2 fusion-button-default-span fusion-button-default-type\" style=\"--button_accent_color:var(--awb-color1);--button_accent_hover_color:var(--awb-color5);--button_border_hover_color:var(--awb-color1);--button_gradient_top_color:var(--awb-custom_color_2);--button_gradient_bottom_color:var(--awb-custom_color_2);--button_gradient_top_color_hover:var(--awb-color1);--button_gradient_bottom_color_hover:var(--awb-color1);\" target=\"_self\"><span class=\"fusion-button-text\">Schedule a Consultation<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-229","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/test.tranistics.com\/nvision\/wp-json\/wp\/v2\/pages\/229","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/test.tranistics.com\/nvision\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/test.tranistics.com\/nvision\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/test.tranistics.com\/nvision\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/test.tranistics.com\/nvision\/wp-json\/wp\/v2\/comments?post=229"}],"version-history":[{"count":0,"href":"http:\/\/test.tranistics.com\/nvision\/wp-json\/wp\/v2\/pages\/229\/revisions"}],"wp:attachment":[{"href":"http:\/\/test.tranistics.com\/nvision\/wp-json\/wp\/v2\/media?parent=229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}