With the data cleansing process now signed off, we were able to show our Client that the actual loading factors are significantly below the reported 95% on average. In fact, the average on all the lines analysed, was closer to 55%, with some lines reporting 20-40% load factors during the analysed period. Furthermore, each loading factor measurement was backed up by precise shipment-level data (as shown in Figure 2 below).
These results have demonstrated our client, that in order to achieve higher and much more efficient loading factors, the approach towards transport data should change drastically. However, thanks to the Transmetrics Data Cleansing module, the process of data cleansing and enrichment could be effortless and opens doors for accurate forecasting and predictive capacity utilization. In return, the clients who have implemented it, can already move to the proactive and data-driven logistics operations in the span of several months, while also improving the bottom line.
Transmetrics actively supports the development of this tool and has a roadmap for further improvement and features in place. We welcome new projects to overcome any challenges that other linehaul companies are facing. Our industry experts are standing by to help you out!