With HarperDB for 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.
HarperDB has been used to track and report telemetry and maintenance data in real-time on a fleet of delivery trucks. This pilot program has shown a proven increase in on-time deliveries as well as optimized fleet utilization.
Save Time and Money by Identifying Equipment Issues Before They Arise
HarperDB was selected because of its rich feature set packed into a small data footprint. Hybrid Transactional/Analytical Processing (HTAP) capabilities provide the ability to ingest and analyze every type of data.