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Development of an AI-Powered Real-Time Q&A Platform for Construction Professionals
  1. case
  2. Development of an AI-Powered Real-Time Q&A Platform for Construction Professionals

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Development of an AI-Powered Real-Time Q&A Platform for Construction Professionals

zaven.co
Construction
Real estate
Business services

Challenges in Delivering Industry-Specific Construction Support

Construction professionals face delays due to lack of real-time, industry-specific guidance, while tight deadlines for trade fairs and customer commitments require rapid deployment of solutions that ensure barrier-free access to critical information without complex authentication.

About the Client

A team of AI enthusiasts with extensive experience in construction management software, operations, and retail insights, aiming to develop tools to streamline construction workflows.

Key Goals for the AI-Driven Solution

  • Create a mobile-first interface for seamless access to construction insights
  • Implement login-free support via language model integration
  • Meet strict deadlines for trade fair demonstrations and client deliverables
  • Optimize processes for lean requirements management in time-sensitive environments

Core System Capabilities

  • Mobile-optimized user interface
  • Language model proxy integration for instant Q&A
  • Industry-specific knowledge base for construction scenarios
  • Anonymous access without authentication requirements

Technology Stack Requirements

Azure
Docker
Node.js
React

Critical System Integrations

  • Language model API (LLM)
  • Usage analytics tracking

Performance and Scalability Needs

  • High availability for trade fair demonstrations
  • Real-time response performance under 2 seconds
  • Secure anonymous access mechanisms
  • Scalable architecture for sudden usage spikes

Expected Business Outcomes

Enables construction workers to resolve daily challenges 30-40% faster, ensures timely delivery of critical project milestones, and provides measurable ROI through reduced downtime and improved task completion rates validated by API usage metrics.

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