Common Use Cases
The future of data analytics and machine learning in transportation has many applications and opportunities. Our solutions focus on pushing process automation and predictive metrics forward using open data methods to build tools and data capacity, putting in place strategies to gather and understand the collected information to augment decisions and derive insights.
We apply predictive analytics to answer your business questions and achieve operational improvements by examining a host of internal data sources (records, orders, smartphone use, customer profiles, itineraries, complaints, sensor data) and unlock the potential benefits of combining with external data sets (search, social media, reviews, weather, traffic, news events). Also, our logistic analysis can be applied to predict machine behavior, human behavior, and account for these external variables. This process optimization provides for less mechanical downtime, more efficient transportation routes, and increased customer satisfcation.