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Development of an Enterprise-Grade Workspace Booking System
  1. case
  2. Development of an Enterprise-Grade Workspace Booking System

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Development of an Enterprise-Grade Workspace Booking System

innowise.com
Business services
Information technology
Real estate

Challenges in Workspace Resource Management

Inefficient allocation and tracking of workspace resources leading to frequent overbooking, underutilization of facilities, and poor user experience. Lack of centralized digital tools for real-time availability checks and integration with enterprise calendar systems.

About the Client

A multinational enterprise specializing in office space optimization and digital workplace solutions for corporate clients.

Objectives for Workspace Booking System Development

  • Create a scalable digital platform for seamless workspace reservations
  • Implement real-time tracking of desk and room availability
  • Integrate with existing enterprise calendar and authentication systems
  • Improve workspace utilization efficiency by 40% within the first year

Core System Functionalities

  • Role-based user authentication (employees, admins, guests)
  • Interactive floor plan visualization with drag-and-drop booking
  • Real-time availability updates with conflict resolution
  • Calendar synchronization (Google Workspace, Microsoft 365)
  • Mobile-responsive interface with push notifications
  • Usage analytics dashboard for facility optimization

Technology Stack Preferences

React.js
Node.js
MongoDB
AWS Lambda
GraphQL

System Integration Requirements

  • Google Calendar API
  • Microsoft Graph API
  • Okta/SAML-based SSO
  • Slack notifications integration
  • Azure Active Directory Sync

Critical Non-Functional Requirements

  • 99.99% uptime SLA with multi-region failover
  • GDPR-compliant data encryption at rest/in transit
  • Support for 10,000+ concurrent users
  • Sub-200ms response time for booking operations
  • WCAG 2.1 accessibility compliance

Anticipated Business Impact

Expected to reduce booking conflicts by 75% and administrative overhead by 60% through automated resource allocation. The system should enable 30% faster onboarding of new workspace configurations while maintaining 100% data integrity during enterprise-scale deployments.

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