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Development of a HoReCa Industry Talent Matching Platform with Intelligent Algorithm and Enhanced User Experience
  1. case
  2. Development of a HoReCa Industry Talent Matching Platform with Intelligent Algorithm and Enhanced User Experience

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Development of a HoReCa Industry Talent Matching Platform with Intelligent Algorithm and Enhanced User Experience

plavno.io
Hospitality & leisure
Food & Beverage
Event Management

Industry Challenges in Talent Acquisition and Platform Adoption

Traditional methods of connecting employers with event professionals suffer from inefficiency, time consumption, and lack of standardization. New users face steep learning curves when adopting digital platforms, while existing solutions fail to provide intelligent matching capabilities between job requirements and professional qualifications.

About the Client

Digital marketplace connecting event organizers with catering professionals through algorithmic matching

Platform Modernization Goals

  • Create intelligent matching system between employers and event professionals
  • Implement data-driven decision support for employers
  • Streamline talent acquisition process to reduce time-to-hire
  • Develop intuitive user onboarding experience

Core Platform Capabilities

  • AI-powered talent matching algorithm
  • Interactive onboarding tutorials
  • Employer profile management with business calendar
  • Professional availability tracking
  • Customizable job offer creation
  • Event status categorization (upcoming/ongoing/finished)
  • Multi-channel notification system

Technology Stack Requirements

React
TypeScript
WebRTC
Redux
JQuery

System Integration Needs

  • Calendar synchronization APIs
  • Payment gateway integration
  • Email notification services

Operational Requirements

  • Scalability to handle 500+ daily transactions
  • 99.9% system availability
  • Real-time algorithm processing performance
  • Data security compliance (GDPR)

Expected Business Outcomes

Platform implementation is projected to reduce talent acquisition time by 60%, increase successful match rates by 75%, and improve operational efficiency through automated scheduling and data-driven insights. The solution will enable employers to make informed staffing decisions while providing professionals with targeted job opportunities.

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