With HarperDB for Transportation & Logistics, every aspect of your connected fleet can be optimized with significant savings and improved customer service. Aggregating data from every vehicle's sensors in real-time provides instant decision support for scheduling and maintenance.
In today's connected fleet, the number of sensors that monitor the health of the vehicle and its cargo is rapidly increasing. With HarperDB, adding new sensors to the model is fast and does not require learning a new language. No ramp up time is required because your team is already familiar with HarperDB’s interfaces: SQL and NoSQL.
Quickly visualize the status of your connected fleet with HarperDB. With HarperDB, your data is available anywhere on the cloud or on the edge, on each vehicle at any time through our REST API or native drivers all in real-time.
Collect data across every aspect of each vehicle including the state of its cargo to the health of its systems with HarperDB. Then you can execute predictive maintenance, artificial intelligence, and machine learning all in one place.
Your business is dynamic. Support new applications using an easy to configure command and control interface. With the HarperDB dynamic schema, administrators can quickly and easily enhance the system to support new applications.
Industry 4.0 Digital Transformation is just beginning to take hold globally. Some of the major challenges in launching these transformation projects are network connectivity, available computing resources, and the cost of upgrading existing infrastructure.
In this paper, you will learn how HarperDB helped a vehicle tracking solutions provider overcome these common Industry 4.0 challenges with a uniquely effective solution. Using HarperDB as the foundational component of the solution allowed for real-time route optimization and event alerting independent of the cloud, while running on existing computing hardware within the vehicle.
This was critically important in an environment with intermittent network availability, as HarperDB was able to provide reliability in an unreliable environment using limited computing power. These factors led the customer to realizing a path towards reduced costs, increased efficiency, improved safety and compliance, and increased revenues.