{"id":30217,"date":"2020-06-06T00:00:00","date_gmt":"2020-06-06T00:00:00","guid":{"rendered":"http:\/\/test.tranistics.com\/nvision\/2020\/06\/06\/5-common-problems-with-freight-data-and-their-impact-on-carrier-selection\/"},"modified":"2020-06-06T00:00:00","modified_gmt":"2020-06-06T00:00:00","slug":"5-common-problems-with-freight-data-and-their-impact-on-carrier-selection","status":"publish","type":"post","link":"http:\/\/test.tranistics.com\/nvision\/2020\/06\/06\/5-common-problems-with-freight-data-and-their-impact-on-carrier-selection\/","title":{"rendered":"5 Common Problems With Freight Data And Their Impact"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container 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_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:0px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\" style=\"--awb-text-transform:none;\"><p>It\u2019s easy to make a confident, data-backed decision, but that decision won\u2019t be a good one if the data you use to justify it is wrong. It\u2019s a predicament even the biggest companies face when choosing freight carriers. Even with a huge database of potential partners, stacks of requests for proposals (RFPs) and bids, and all the information needed to select a carrier, decisions may be flawed if that information isn\u2019t organized, current, or accurate. As a result, \u201cinformed\u201d decisions made with bad data could end up costing companies.<\/p>\n<h2><span data-sheets-root=\"1\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;common problems with freight data&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}\">Common Problems with Freight Data<\/span><\/h2>\n<ol>\n<li style=\"margin-bottom: 1em;\"><strong>Incorrect information entered from RFPs &#8211;<\/strong>\u00a0If RFP data isn\u2019t entered correctly, your perspective on carriers changes. What happens if you enter their per-mile rate wrong, for example? You\u2019ll get an invoice that matches what\u2019s in your system, but not one that matches your expectations. Your entire perception of a carrier could change if you\u2019re not entering data from RFPs accurately.<\/li>\n<li style=\"margin-bottom: 1em;\"><strong>Miscategorized carrier lanes or capabilities &#8211;<\/strong>\u00a0Does Carrier A offer special LTL (less than truckload) capabilities? Can you use Carrier B for a cross-country shipment? Knowing the capabilities of your carriers means getting a complete picture of your options. Carrier A might beat the LTL rates of every other carrier in your profile, but if you don\u2019t have them grouped with your LTL providers, you\u2019d never know!<\/li>\n<li style=\"margin-bottom: 1em;\"><strong>Duplicate or incomplete shipper data &#8211; <\/strong>Duplicated shipper data is a bane for freight auditing. Imagine trying to reconcile invoices for Company XYZ, Company XYZ Inc., XYZ Company, and Company XYZ Ltd. &#8211; only to find out they\u2019re the same carrier with the same cost center. Data integrity matters! Consolidate records for carrier \u201caliases\u201d and keep them available under a single name for simple selection and reconciliation.<\/li>\n<li style=\"margin-bottom: 1em;\"><strong>Antiquated shipper information &#8211;<\/strong>\u00a0Mergers and acquisitions happen all the time in the freight industry. Are your records up to date to reflect them? You might try to contract ABC Carrier, only to realize they\u2019ve merged with EFG Company \u2014 along with their rate structure. You need to know the new entity and rate schedule before choosing that carrier, and it\u2019s only possible if you maintain an updated carrier database.<\/li>\n<li><strong>Obfuscated rates and fees &#8211;<\/strong>\u00a0Does your current <a href=\"https:\/\/corporate.nvisionglobal.com\/transportation-management-system\/\" target=\"_blank\" rel=\"noopener\">Transportation Management System (TMS)<\/a> outline rate schedules and fees in an easy-to-view way? If not, you could trip yourself up when choosing a carrier. Seeing the per-mile cost isn\u2019t enough information. Make sure you have a way to break down per-mile costs, surcharges, accessorials, and any other charges that affect rates.<\/li>\n<\/ol>\n<h3><span data-sheets-root=\"1\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Strategies to Improve Freight Data Accuracy&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}\">Strategies to Improve Freight Data Accuracy<\/span><\/h3>\n<p>Checking your data accuracy starts by looking at simple variables like organization, presentation, and timeliness. Then, once you have a system of records, you can practice good data hygiene &#8211; updating (cleaning) records, scrubbing outdated data, and grouping carriers by specific variables. These practices add up to simple solutions that bring clarity to otherwise obfuscated freight data. You can follow these strategies to improve your freight data accuracy:<\/p>\n<p><strong>Data Audits:<\/strong> To find trends of inaccuracy and opportunities for improvement, routinely audit your shipping procedures and data.<\/p>\n<p><strong>Frequent Training:<\/strong> Inform your staff about the value of correct data entry and data management best practices.<\/p>\n<p><strong>Carrier Partnerships:<\/strong> Select dependable shipping partners with strong mechanisms for validating and verifying data. Work together to keep uniform data practices.<\/p>\n<p><strong>Data Quality Tools:<\/strong> To find and address errors, inconsistencies, and duplication, investigate software programs that offer functions like data profiling, cleansing, enrichment, and validation.<\/p>\n<p>nVision Global addresses these common concerns, providing shippers with confidence as they undertake carrier selection. Our <a href=\"https:\/\/corporate.nvisionglobal.com\/transportation-management\/procurement\/\">procurement tool<\/a> for proper RFP ensures shippers get complete, accurate information from potential carriers and our systemic spot quote tool combs that information to suggest the right carrier for the load. Cost, safety, carrier-specific nuances, and more are all factored in, and all automated to make selection as simple as it should be. Carrier management is easier as well, since data is routinely cataloged, sorted, and updated automatically.<\/p>\n<p>Selecting the best carrier comes down to having clear, accurate, organized information. Antiquated, obfuscated, or incomplete data means higher fees and more logistical challenges. Make carrier data maintenance and organization a top concern.<\/p>\n<div class=\"cta\" style=\"background-color: #eaeaea; border: 1px solid #ccc; border-left: 5px solid #1B4381; clear: both; padding: 1em; margin: 1em 0 1em 0;\">If carrier selection is the first step in outbound logistics, collecting, cleaning, and maintaining a robust database of carriers is an essential prerequisite. Working from incomplete or incorrect data can force huge expenses. Likewise, having current data available to influence carrier selection can lead to tremendous cost savings. Let nVision Global show you the impact of carrier selection on your bottom line. Visit our website at <a href=\"http:\/\/www.nvisionglobal.com\" target=\"_blank\" rel=\"noopener noreferrer\">nvisionglobal.com<\/a>.<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[],"class_list":["post-30217","post","type-post","status-publish","format-standard","hentry","category-freight-costs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\r\n<title>5 Common Problems With Freight Data And Their Impact - nVision Global<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"http:\/\/test.tranistics.com\/nvision\/2020\/06\/06\/5-common-problems-with-freight-data-and-their-impact-on-carrier-selection\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"5 Common Problems With Freight Data And Their Impact - 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