Build durable systems, reduce manual processes, and increase your visibility with Orkes’ workflow orchestration platform powered by the battle-tested Conductor engine.
Automate and streamline supply chain workflows, ensuring smooth coordination, real-time tracking, and efficient end-to-end management of your supply chain.
Utilizing Orkes’ suite of observability features like Timeline View, Advanced Metrics Dashboards, and Tags, users can get a full picture of business workflows from fulfilment to delivery.
Easily build workflows to automate inventory tracking and management, optimize stock levels and warehouse operations, to reduce waste and costs.
Safely test changes by doing canary testing in production or A/B testing across multiple versions before rolling out. A version can also be deleted, effectively allowing for "rollback" if required.
Tasks in Orkes are designed to be idempotent, meaning they can be executed multiple times without changing the result beyond the initial application. This ensures consistency and prevents unintended side effects in cases of retries or failures.
Handle task failures by automatically retrying tasks based on configurable parameters. Enhance workflow reliability and ensure that transient errors or temporary issues do not lead to complete workflow failures.
Orkes persists the state of workflows and tasks, ensuring that workflow progress is not lost even if the system crashes or undergoes maintenance. This allows workflows to resume from their last known state without data loss.
Visually map out complex workflows with drag and drop definitions or write your own code. Span your business logic across microservices in different languages, frameworks and clouds.
Add human interactions to your workflows with built-in system task for assigning users or groups for specific actions inside an execution flow.
Bring durability to your workflows with the ability to wait at any point within the execution. Wait tasks can wait for seconds, days, years, and more.
Trigger events from your workflows to interface and share data from your execution with external systems like Kafka Topics.
Seamlessly integrate Large Language Models, Prompt Templates and Vector Database Integrations into your business workflows.
Execute workflows at a prescribed cadence (e.g. once every 10 seconds, once a month, at 4pm every day) without the need for an external cron job.
Run 1000’s of tasks per second with high performance cluster configurations to achieve massive scalability without worrying about reliability or performance degradation.
Stay up and running even in the event of an entire cloud region or data center failing.
Pick and choose from multiple cluster types to align with your usage needs and growth, and easily expand to accommodate high levels of growth with non-shared address space clusters.
Logistics and Transportation
Conductor coordinates shipment workflows and order-processing microservices at Cogoport. Scalable task pipelines connect services across the logistics application, with order orchestration built using Python and FastAPI.
Logistics and Transportation
Conductor executes backend workflows in Routific’s delivery-management web application. The implementation supports the application’s service environment alongside NestJS, GraphQL and database integration tools.
Logistics and Transportation
Conductor coordinates service tasks and APIs for logistics pickup and delivery. Shared workflows connect application operations that support the progression of delivery work.
Logistics and Transportation
Conductor supports microservice workflows in UniGroup application engineering, coordinating operations across distributed services.
See how 2 more logistics companies use Conductor
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