VARGO

COFE® Technology Platform

What is COFE®?

COFE® (Continuous Order Fulfillment Engine) is a real-time, closed loop, pull system designed to optimize warehouse operations. It resides between the Warehouse Management System (WMS) and work resources, functioning as a Warehouse Execution System (WES). COFE® prioritizes, sequences, and synchronizes work dynamically and in real-time, ensuring a seamless and efficient workflow.

Technology Stack and Foundational Components

System Architecture and Configuration: COFE® can be deployed in various configurations, including on-premises and off-premise setups. The system architecture includes multiple servers and nodes to handle different transaction rates and ensure high availability. For instance, a low transaction rate site might have fewer servers, while a high transaction rate site would require a more robust setup with additional servers to manage the increased load

  • On-Premise Configuration: This setup involves deploying COFE® on physical servers within the warehouse. It includes server-class hardware with virtualization options, ensuring high performance and reliability.
  • Off-Premise Configuration: COFE® can also be hosted in the cloud, leveraging providers like AWS and Azure. This setup offers flexibility in terms of cost structures, including capital, licensing, subscription, and transaction models
COFE® Technology Platform
Dataflow Architecture: COFE®‘s dataflow architecture is designed to handle high volumes of transactions, with real-time message-based communication to PLCs and other systems. This ensures efficient and timely processing of orders and other warehouse tasks. The architecture supports seamless integration with existing warehouse systems, providing a unified platform for managing operations

Software Lifecycle and Versioning: COFE® follows a date-driven version release model, with monthly regression testing and updates. New features and enhancements are regularly added to ensure that COFE® remains up to date with the latest technological advancements. This approach ensures that all components are compatible, and that the system remains robust and reliable

Technology Stack:

  • Operating System: Provides robust and secure environments, ensuring high performance and reliability for warehouse operations
  • Database: Ensures efficient data management and high availability, supporting various versions to meet different operational needs
  • Programming Language: Offers flexibility and extensive support for multiple versions, enabling the development of robust and scalable applications
  • Message Queue: Facilitates real-time, message-based communication, ensuring timely updates and coordination between different system components
  • Configuration Management and Containers: Streamlines deployment and management processes, ensuring consistency and scalability across different environments
  • Web Language: Supports the development of web components, providing a seamless user experience

Foundational Components:

  • Microservices Architecture: COFE®‘s code base is built on microservices, allowing for flexibility and customization
  • Standard and Custom Features: COFE® offers a range of standard features that can be customized based on customer requirements
  • Hardware Drivers: COFE® supports various hardware drivers, including Put to Light, PLCs, and device management
  • Customer Code Sets: COFE® allows for custom code sets based on unique customer requirements

Future Roadmap: The future roadmap for COFE® includes several exciting developments, such as AI parameter setting, computer vision integration, additional multi-language support, and more. These advancements will further enhance the capabilities of the COFE® Technology Platform, ensuring that it remains at the forefront of warehouse management solutions

By leveraging the COFE® Technology Platform, warehouses can achieve greater efficiency, productivity, and flexibility, ensuring that they are well-equipped to meet the demands of modern supply chain operations.

COFE® Technology Platform