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Development of a Cross-Platform Collaboration and Project Management Application with AI Integration
  1. case
  2. Development of a Cross-Platform Collaboration and Project Management Application with AI Integration

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Development of a Cross-Platform Collaboration and Project Management Application with AI Integration

netguru.com
Information technology
Business services
Government

Challenges in Enterprise Team Collaboration

Enterprise teams face inefficiencies from fragmented communication tools, excessive email usage, siloed workflows, and complex planning cycles. Existing solutions lack seamless integration of task management, real-time collaboration, and AI-powered optimization for modern distributed teams.

About the Client

A SaaS project management platform combining task management, chat, and AI-driven insights for enterprise teams

Key Project Goals

  • Create a unified cross-platform application (iOS/Android) with consistent design language
  • Simplify interface while maintaining core functionality from legacy versions
  • Implement custom features for enterprise clients (e.g., Starbucks, US Government)
  • Enable seamless integration with 50+ third-party tools
  • Improve performance metrics by 40% compared to existing solutions

Core System Requirements

  • Unified task management with visual planning tools
  • Integrated team chat with threaded conversations
  • Machine learning-powered workflow optimization
  • Customizable dashboards with real-time analytics
  • Enterprise-grade security controls
  • Offline-first architecture with sync capabilities

Technology Stack Requirements

React Native
JavaScript/TypeScript
Redux
Node.js
GraphQL

Third-Party Integrations

  • Slack
  • Microsoft Teams
  • Google Workspace
  • Zoom
  • Jira
  • Salesforce
  • AWS services

System Quality Attributes

  • Support 10,000+ concurrent users per deployment
  • 99.99% uptime SLA
  • Sub-200ms response time for core actions
  • GDPR and SOC 2 compliance
  • Cross-platform UI consistency

Expected Business Outcomes

Implementation will reduce enterprise communication overhead by 50%, accelerate project delivery cycles by 30%, and decrease tool sprawl by consolidating 5-7 standalone applications into a single platform. Enterprise clients will benefit from 20% lower operational costs through AI-driven resource optimization.

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