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Charter Management Platform
Stream, connect, process and govern data from diverse source systems to power a real-time charter management platform
Modernize operations, deliver a better customer experience
For decades, ground transportation companies have relied on manual processes for their business operations. The data behind these processes has traditionally been stored in siloed databases (if at all), and has been accessed via batch-based processing. Ultimately, this has led to operational inefficiencies (e.g., increased manual intervention and inefficient resource allocations) and an inconsistent customer experience.
With a charter management platform based on real-time data from a range of source systems, however, ground transportation companies can:
Create a seamless end-to-end customer experience, from quoting through to invoicing and the delivery of transportation services.
Provide customers with real-time services such as dynamic quoting (based on vehicle availability) and route optimization.
Accelerate the time-to-market for new services with discoverable, well-governed streams of real-time data.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Reference Architecture
Data from various source databases (e.g., Postgres SQL and MongoDB) is synced to Confluent Cloud via fully-managed connectors.
Data is processed in real time using Apache Flink, creating a re-usable streaming data product.
Data is synced MongoDB Atlas via fully-managed sink connector, providing real-time data for MongoDB Atlas Search.