With so many options, how do shippers choose the right carriers? The best place to start is to use objective data to benchmark carrier performance across the network and at the lane level to other carriers and the overall freight market.
Data science may feel like a new frontier for truckload transportation, but concepts like “big data” have always been a part of the industry. The problem had always been a lack of technology to manage the vast quantities of information. That’s changed, thanks to machine-learning and data science.
Many shippers assume that their routing guide is their de facto budget. Unfortunately, because routing guides fail, the rates they actually pay will fluctuate, causing shippers to spend over their RFP-derived budget.