The freight invoice auditing tool should include more advanced algorithms for detecting various types of billing fraud, improving accuracy and user trust.
I spent the last few weeks learning Python and building an automated freight invoice auditing tool. Not because someone told me to. Because I researched freight billing fraud and realized small logistics companies get overbilled constantly and have no automated way to catch it. Here is what the tool found on a 26-invoice test file: Weight inflation: $306 across 7 invoices Rate fraud: $523 across 7 invoices Fuel surcharge overbilling: $289 Duplicate invoice: 1 confirmed Total found: $1,118 The tool reads any CSV or Excel invoice file and outputs a color coded Excel report showing every overcharge found. I am now looking for real logistics companies to test it on. Performance based only — I take 30% of what gets recovered. Nothing found means nothing owed. Not asking for anything here. Just sharing what I built. Happy to answer questions about how it works or what I learned building it.