Freight claims are the rightful demand of a shipper against a carrier concerning the damage of goods shipped. While the claimant looks forward to receiving compensation for the damaged goods, it can often be a complicated process requiring dozens of communications and individual activities. As the economic state has drastically fluctuated over the past year, it’s critical to understand how freight claims and shipping delays can add up to big problems for shippers and carriers. And as new technologies become available, such as robotics process automation (RPA), it will grow easier for shippers to realize the benefits of full, end-to-end shipment lifecycle management. And part of that implies an immediate need to understand the nuances and inconsistencies in managing freight claims. Freight claims provide a way to track overall market trends. But first, it’s essential to know what’s necessary and have a few steps to maximize freight claims’ data use and value.
Connect the Supply Chain and TMS With an Integrated Solution That Applies Data and Makes It Readily Accessible
Leverage Software-as-a-Service (SaaS) Platforms to Enable Remote Freight Claims Management
Validate Data Accuracy With Data Normalization Protocols
Leverage Advanced Transportation Analytics to Identify and Address Problems
Yet another core freight claims best practice rests in allowing advanced analytics to take stock of what happened (descriptive analytics), why (diagnostic analytics), what’s going to happen (predictive analytics), and what an organization needs to do to achieve an optimum outcome. Of course, analytics also require an easy-to-use dashboard that makes the implementation of insight-driven decisions easier. Therefore, integrated analytics within a single record system, such as a transportation management system (TMS), is an excellent way to achieve this goal.