Automated Freight Class Determination for LTL Shipments

If you ship LTL freight, you have probably been hit with a reclassification charge. Your shipment was tendered as class 85, the carrier inspected it and determined it should be class 100, and the rate went up accordingly. Sometimes the increase is modest. Sometimes it doubles the cost of the shipment. Either way, it is a frustrating experience that usually stems from incorrect freight class assignment at the time of booking.

AI freight class determination eliminates most reclassification charges by getting the classification right from the start.

How Freight Classification Works

The National Motor Freight Classification system assigns classes from 50 to 500 based on four characteristics: density (weight per cubic foot), stowability (how easily the freight fits with other freight), handling difficulty, and liability (value and susceptibility to damage). In practice, density is the primary driver for most commodities, with the other factors creating exceptions for items that are unusually difficult to handle or high in value.

The NMFC maintains a database of commodity classifications that assigns specific classes to specific product types. But many products can fall into multiple classifications depending on their packaging, density, and shipping configuration. This ambiguity is where misclassification happens.

AI-Based Classification

AI classification systems determine freight class using multiple inputs. Product dimensions and weight from the order system provide the density calculation. The NMFC commodity code from the product master data identifies the applicable classification rules. Historical shipment data shows how the same product has been classified in previous shipments. And carrier inspection results from past shipments indicate whether the current classification has been accepted or challenged.

The system cross-references all of these inputs to determine the most accurate class. When a product has been consistently reclassified by carriers, the system adjusts its classification to match what the carriers are actually applying, preventing future reclassification charges.

Density-Based Classification

For many shipments, density is the determining factor. AI systems calculate the actual density of each shipment based on the specific items being shipped and their packaging configuration. A product that ships in a small, heavy box has a different density than the same product in a large, lightly packed box.

The density calculation accounts for the actual shipping configuration, not just the product weight. If a shipper packs 20 units in a case that measures 24 by 18 by 12 inches and weighs 35 pounds, the density is straightforward to calculate. AI does this calculation for every shipment and applies the correct density-based class.

Avoiding Under-Classification and Over-Classification

Under-classification (assigning a lower class than the shipment warrants) triggers reclassification charges. Over-classification (assigning a higher class than necessary) means you are paying more than you should. AI aims for accurate classification that avoids both problems.

The system tracks carrier inspection rates and reclassification frequency by product and lane. If a particular product is being inspected and reclassified frequently, the system adjusts the classification approach for that product. If a product is never inspected and the current classification is higher than the density would suggest, the system flags the opportunity to potentially reclassify downward and reduce costs.

Cost Impact Analysis

Freight class directly affects LTL rates, and the cost differences between adjacent classes can be significant. AI classification systems quantify the cost impact of classification decisions, showing the dollar difference between the assigned class and the alternatives. This visibility helps shippers understand the financial importance of accurate classification and prioritize efforts to ensure the highest-cost products are classified correctly.

For more on how AI optimizes LTL shipping and freight management, see FirmAdapt's logistics and transportation analysis.