Raising the Bar for ETAs

Data and analytics initiatives are driving digital transformation and reshaping the supply chain. While analytics capabilities can lead to revenue opportunities and an improved customer experience, knowing where to begin and getting internal stakeholders on board can be overwhelming. When adding analytics to your transportation and logistics processes, predictive estimated times of arrival (ETAs) is a good place to start.

In today’s Delivery Economy, ETAs are critical to shipment visibility and supply chain optimization. Past methods for determining ETAs no longer provide the results you need. Delivering accurate and dependable ETAs is a complex data science exercise, and finding a solution that uses advanced statistical modeling and machine learning means you don’t have to worry about it. Listen to this webinar to find out how visibility analytics and predictive ETAs can help you make better transportation decisions.