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Swimlane and Dynamic Routing Algorithms for Enterprise Process Mapping

2 Minutes Read

Challenge

Develop intelligent routing algorithms for node connections and enhance swimlane rendering with advanced sorting and filtering functions. Truvle required a clear, overlap-free method of connecting nodes on the process graph, as well as a dynamic visual interface for swimlanes to meet their first customer's needs.

 

This feature allows users to see and update process diagrams in real-time without delays or interruptions. The system maintains a natural flow of conversations and changes while working, prevents page reloads or freezes when multiple users are working simultaneously, and ensures a smooth, frustration-free experience for users working on process diagrams.



Solution

We created custom routing algorithms for intelligent node connections and implemented advanced swimlane sorting and filtering algorithms, utilizing TypeScript for robust code quality.


This web-based application was developed using a modern tech stack including React, Next.js, and TypeScript for the front end, with AWS services powering the backend infrastructure. The solution was optimized for browsers where complex process visualization and manipulation are most effective.

 

This technological approach was crucial for Truvle's mission to transform complex business processes into clear, actionable visualizations. As their platform aimed to help medium and large enterprises optimize their operations, particularly in retail and logistics, having an intelligent visualization system was key to demonstrating process inefficiencies and opportunities for improvement to their macro-supermarket client.



The Outcome

The solution provided clear, organized process graphs with intelligently connected nodes and a highly adaptable, dynamic swimlane interface. This significantly Enhanced Visual Clarity and Expanded Use Cases improving the visual clarity and usability of the system, enabling Truvle to effectively demonstrate complex business processes to their macro-supermarket client, leading to expanded use cases and additional feature requests.


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