Under　the　background　of　the　current　era　of　big　data,　the　logistics　management　of　enterprises　is　facing　higher　requirements　and　challenges.　Therefore,　in　order　to　better　adapt　to　the　development　of　the　times　and　enhance　its　comprehensive　strength,　enterprises　must　give　full　play　to　the　role　of　big　data　technology,　realize　continuous　optimization　and　improvement　of　logistics　management　models　and　management　systems,　and　effectively　improve　the　enterprise　on　this　basis.　Higher　logistics　service　level　can　enhance　logistics　management　capabilities,　improve　work　efficiency,　optimize　the　industrial　structure　of　enterprises,　and　promote　the　rapid　development　of　enterprises.　This　article　first　analyzes　the　advantages　of　the　Internet　of　Things　and　data　mining　based　on　the　perception　and　collection　of　logistics　information　and　the　Internet　of　Things,　then　the　integrated　processing　of　logistics　information　based　on　rough　sets　and　evidence　theory,　and　the　analysis　of　logistics　information　based　on　rough　sets　and　neural　networks.　Finally,　a　new　type　of　logistics　management　model　is　proposed,　hoping　to　promote　the　development　of　logistics　management.　©　2021　IEEE.