In modern logistics, freight auditing is a time-consuming and costly task when done manually. Large freight invoices can conceal costly errors. Each copyright invoice is reviewed manually, and the process is slow and prone to errors. Decision-makers are left with unquestioned mistakes resulting in surprise costs, late fees, and strained copyright relationships. Big companies are now digitizing the freight audit and payment process through business intelligence tools such as Microsoft Power BI. By pulling data from shipping, TMS, and accounting systems into interactive dashboards, Power BI brings audit metrics to life in real time, therefore turning a reactive manual process into a proactive management function. This post looks at just how these dashboards plus automation can reduce mistakes and costly delays in freight auditing.
The Invisible Costs of Manual Freight Audits
Manual freight auditing resembles detective work, going through every shipment line by line. If even a quarter of the invoices carry errors, these hidden costs balloon quite fast. In many companies, hours get wasted as internal teams cross-check bills against contracts and contact the carriers for refunds. These mistakes and delays are directly increasing freight costs.
According to industry research, the cost of manually processing a single freight invoice ranges from $15 to $50, with document handling comprising the bulk of that expense. When errors are detected, these costs can increase dramatically. More alarming is the statistic that approximately 15% of all copyright invoices contain errors, most of which result in overcharges.
Read More :- Automating freight audit and payment with Power BI: Reducing errors and delays