Combining High and Low-Code to Deliver Impactful Predictive Analytics

In this white paper, we will explore how GlobalTranz leveraged its inherent technology skills  along with technology partnerships including Microsoft and West Monroe, a national business  and technology consulting firm, to effectively insert a user interface (UI) facilitating  human oversight of machine generated predictive pricing through a creative and resource- efficient use of both high and low-code approaches.

GlobalTranz has been leveraging a Cost Prediction Model (CPM), which uses a dynamic  pricing API to deliver real-time rates on Truckload shipments from any origin to any  destination across North America, for a number of years. The CPM predicts lane-level costs  based on a wide variety of factors including historical costs and current market conditions. A  key component of GlobalTranz’s digital freight matching capabilities, the CPM ensures that  the company maximizes supply chain efficiency for customers by securing freight at the  optimal price with optimal service.