Transportation and logistics companies are witnessing financial crisis with increasing fuel costs. The industry players are looking for ways to optimize their services, remain competitive, and efficient. To optimize services, trains, planes, and automobiles are equipped with sensors. The data from these devices can be exploited to gain useful insights which in turn will improve the overall efficiency of the industry. AoT provides real-time analytics on the data generated from the sensors. For instance, AoT can automate decisions such as increasing the power of a truck’s refrigeration unit as it approaches hotter regions. Furthermore, the analysis of the historic data is important as well to spot some significant predictive patterns. Analysis of historic data can reveal the areas which should be avoided during certain parts of the day. With this information, new delivery routes can be predicted to ensure on-time delivery. With all these benefits, the transportation and logistics sector maintains a major market share in the AoT market and is estimated to have a steady growth rate during the forecast period.
IoT Analytics in Transportation and Logistics
Oracle provides an IoT platform to develop new IoT services quickly, using Oracle portfolio of products. This enables organizations to handle growing volumes of data, streamline application development and deployment, automate integration of data, and protect the data across the entire IoT value chain. Oracle provides a variety of IoT analytics solutions, including Oracle IoT Cloud Platform as a Service (PaaS) and Oracle IoT applications with built-in analytics for Key Performance Indicators (KPIs), anomaly detection, comparative analytics, and predictive analytics. Oracle also provides an IoT cloud service which is a secure and scalable platform to quickly build and deploy IoT applications, and capture and analyze IoT data.
The Cumulocity IoT from Software AG is an IoT platform which connects any device from any of the cloud platforms and can be integrated with any of the applications. The platform is very quick to start, in just ten minutes and in very simple steps. The platform offers the benefit of not requiring coding and analysis for business users and analysis can be carried out without coding or programming skills. Users require the same APIs, data and analytics models everywhere, in the cloud and on-premises.