In this white paper, “Combining High and Low-Code to Deliver Impactful Predictive Analytics,” 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.
The white paper includes the following sections:
- Introduction
- Building the Cost Prediction Model
- What is Low-Code?
- Taking the Low-Code Route to Develop a UI
- Leveraging the Power Platform
- Conclusion
Download the report HERE.
Sign up for the free insideAI News newsletter.
