Transportation Reconciliation - Minimize Overpayments, Reduce Freight Costs and Generate More Profit
In transportation reconciliation, freight audits are conducted, freight bills are paid, and claims are managed. For many companies, reconciliation is challenging because of the high shipment volume and the complexity of appropriately applying contract freight rate rules to each shipment. Freight overpayments are common, yet difficult to correct. The only way to optimize the reconciliation process and decrease freight cost is through automation.
CatalystCommand™ Transportation Reconciliation reduces your transportation spend by automating the freight audit, freight payment and claims management processes. The system verifies the majority of the freight payments and enables you to spend time on exceptions to correct overpayments.
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Freight Auditing. Analyze and compare freight bills to the estimates calculated by CatalystCommand Transportation Execution, and accept or reject payment based on predetermined error tolerances for each freight cost category. This generates tremendous savings by eliminating third party freight audit services, eliminating inapropriate charges and increasing the accuracy of freight payments. |
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Invoice Entry. Accommodate multi-shipment invoices, invoice batches and surcharges, and supports multiple carrier invoicing options.
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Exception Handling. Determine the variances between rated, invoiced, and approved amounts for all invoiced freight charges and receive notification when a variance exceeds a threshold.
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Cost Accounting. Allocate freight costs to one or more applicable account codes based on customer defined conditions.
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Manage Loss or Damage Claims. Create claims for transportation loss, damage shortage, or cost overage, and generate standard or customized claim documentation. Track claim-specific activity, monitor claim status, and easily prepare accurate and complete documents using system standard claims forms.
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Monitor and Manage Carrier Performance. Monitor and manage carrier performance, and manipulate data to determine if there are more effective ways to approach a transportation problem.
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