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AI-Powered Web Integration Platform Development for Supply Chain
  1. case
  2. AI-Powered Web Integration Platform Development for Supply Chain

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AI-Powered Web Integration Platform Development for Supply Chain

knubisoft.com
Logistics
Supply Chain Management

Challenges

Rygen Technologies' principal engineer was overloaded, hindering the speed of the X1 project. There was a need for a skilled development team to accelerate feature releases without sacrificing product quality and to seamlessly integrate with existing US-based engineers.

About the Client

Rygen Technologies provides user-friendly supply chain logistics solutions, enabling businesses to manage freight, connect with partners, and access data insights.

Objectives

  • Develop and deploy an AI-powered web integration platform (X1).
  • Accelerate the release of X1 features.
  • Maintain high product quality throughout the development process.
  • Improve system communication and operational efficiency for supply chain clients.
  • Enable a user-centric, document-focused approach to integration management.

Functional Requirements

  • AI-powered integration suggestions.
  • User-friendly interface for integration creation and management.
  • Document-based integration configuration.
  • Code analysis and refactoring tools.
  • Vulnerability checks and security auditing.

Preferred Technologies

Java 17
Spring
MongoDB
Apache Camel
Google Cloud
TypeScript
Vue.js
PrimeVue

Non-Functional Requirements

  • Scalability to handle increasing integration volume.
  • High performance for efficient integration execution.
  • Robust security measures to protect sensitive data.
  • Seamless collaboration capabilities for distributed teams.

Expected Business Impact

The development of the X1 platform is expected to improve operational efficiency in supply chain logistics, leading to cost savings and enhanced customer satisfaction. Faster feature releases will provide Rygen with a competitive advantage and potentially increase market share.

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