Real-Time Analytics for Logistics
Track and analyze data points across your fleet, the environment and inventory management system to make real-time decisions
Logistics
Monitoring and tracking is critical to ensuring your fleet is operational, routes are optimized and resources are delivered on-time and within budget. The surge in online ordering and the expectation of short delivery timeframes has made real-time optimizations a must in the industry. With Rockset, you can analyze thousands of data points across multiple sources to respond to changing conditions and identify problems early on.
Logistics Use Cases
Fleet Management
Manage and monitor the health of your fleet with real-time visibility into vehicle locations and conditions. Get alerted to changes in the health of your vehicles so that you can schedule preventive maintenance and keep your fleet running.Construction
Operate “just in time” by sequencing the arrival of materials to the site. Keep your site safe, organized and your construction project under budget with real-time monitoring.Delivery Services
Optimize delivery routes and improve efficiency with real-time data from GPS devices, orders and delivery schedules. Let your customers track their deliveries in real-time to enable a smooth ordering and delivery process.
Why Rockset
Why Real-Time Analytics in Logistics Is Hard
How Rockset Makes It Easy
Why Real-Time Analytics in Logistics Is Hard
How Rockset Makes It Easy
Core Features
Built-In Data Connectors
Set up continuous ingestion from common data sources, like MongoDB, DynamoDB, Kafka and S3, in a plug-and-play manner. New data is reflected in Rockset in seconds.
SQL with JOINs
Join multiple data sets for analysis. Rockset supports full-featured SQL, enabling complex search, aggregation and join queries.
Converged Index™
Rockset automatically builds search, columnar and row indexes on your data to deliver fast queries at scale.
Serverless Autoscaling
Rockset scales storage, ingest and query layers automatically and independently in response to growth and spikes in usage.
Resources
Fleet Management System – An End-to-End Streaming Data Pipeline
An architecture for real-time analysis of a fleet management system.
Read moreDesigning a Real-Time ETA Prediction System
Generate ETA predictions for a delivery service using real-time location and order data from Kafka and DynamoDB
Read moreWhere's My Tesla? Creating a Data API Using Kafka, Rockset and Postman to Find Out
We demonstrate how to expose real-time IoT data in Kafka through the Rockset REST API.
Read moreReal-Time Analytics on Connected Car IoT Data Streams from Kafka
We examine how to enable complex analytic queries on real-time Kafka streams from connected car sensors.
Read moreQuery Lambdas: Increasing Developer Velocity
An introduction to Rockset's Query Lambdas that rethink the data application development workflow.
Read moreConverged Index™: The Secret Sauce Behind Rockset's Fast Queries
Learn how Rockset delivers low-latency SQL for search and analytics using a combination of row, column, and search indexes.
Read moreCustomers
Real-Time Analytics At Lightning Speed