Use Case
Driver Navigation for Cargo Truck Loading and Unloading
Executive Summary
The automated instruction system for cargo truck drivers during loading and unloading is a fully implemented solution delivering significant operational efficiency, reduced delays, and optimized resource utilization. By leveraging geofence-enabled task automation, AI-driven scheduling, and real-time data tracking, the system streamlines workflows, eliminates manual instruction dependency, and ensures seamless coordination across operations.
Zeliot’s Condense has helped us accelerate our connected mobility journey by ensuring all vehicle data comes directly to TVS. This innovative platform streamlines data management and provides valuable insights for optimizing operations.
Vikas Marwaha
TVS Motors
Ready to make the switch to Condense?
Switching to Condense means embracing a faster, smarter way to build and scale real-time data pipelines. With fully managed Kafka at its core, Condense eliminates the complexity of managing infrastructure, integrating fragmented tools, or dealing with vendor lock-in.
Designed for industry-specific needs, Condense comes with prebuilt connectors, a low-code logic builder, and support for custom transforms—letting you go from data to decision in minutes. Its BYOC (Bring Your Own Cloud) model ensures full data control, seamless scalability, and compliance with your cloud strategy.