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Development of a Cohesive and Adaptive Clean Energy Construction Platform with AI-Driven Planning
  1. case
  2. Development of a Cohesive and Adaptive Clean Energy Construction Platform with AI-Driven Planning

Development of a Cohesive and Adaptive Clean Energy Construction Platform with AI-Driven Planning

inveritasoft.com
Energy & natural resources
Construction
Utilities

Challenges in Connecting Fragmented Operations in Clean Energy Construction

The client faces fragmented operations, outdated software infrastructure, and communication silos across sales, office, and field teams. Their existing systems hinder seamless collaboration, timely project management, and adaptation to evolving industry standards, impeding growth in a competitive renewable energy sector.

About the Client

A mid-to-large sized clean energy construction company aiming to unify operations and improve project management through integrated digital solutions.

Goals for Modernizing and Optimizing Construction Management Processes

  • Transform the existing legacy software into a modern, integrated platform supporting seamless collaboration across all teams involved in clean energy projects.
  • Incorporate DOE standards and AI-assisted planning capabilities to enhance project accuracy and efficiency.
  • Enable flexible architecture to adapt quickly to market shifts, contract modifications, and partner changes.
  • Improve project tracking, scheduling, and communication for site surveys, installations, and inspections.
  • Develop mobile solutions for field workers to facilitate onsite data access and updates.
  • Create standardized integrations with design, sales tools, utility data sources, and energy-specific repositories to streamline workflows.

Core Functional System Requirements for a Unified Construction Platform

  • Unified dashboard aggregating data and activities from all teams.
  • AI-assisted project planning and scheduling based on industry standards.
  • Role-based access with secure authentication for employees, contractors, and partners.
  • Mobile app support for onsite workers for data entry, photo documentation, and real-time updates.
  • Scheduling tools for site surveys, installations, and inspections.
  • Standardized integration with design, sales tools, and energy data repositories.
  • Support for flexible contract and partner management workflows.
  • Compliance modules incorporating applicable industry standards, including DOE guidelines.

Recommended Technologies and Architectural Approaches

Modern cloud-based infrastructure (e.g., AWS or equivalent) for scalability and resilience
.NET and WPF for application development
AI and machine learning modules for planning support
Responsive mobile application frameworks for field workforce support

Essential External System Integrations

  • Design and sales tools for seamless data exchange
  • Utility information systems for energy specifications and site data
  • Industry standards repositories and energy project databases
  • Scheduling and inspection management systems

Key Non-Functional System Requirements

  • System scalability to support evolving project needs and user base
  • High availability with 99.9% uptime
  • Data security and compliance with industry standards
  • Performance responsiveness within 2 seconds for user interactions
  • User-friendly interfaces for diverse user roles

Projected Business Outcomes and Benefits

The implementation of this integrated, standards-compliant platform is expected to significantly improve operational collaboration, reduce project delays, and increase adaptability to market and contractual changes. It aims to enhance project management efficiency, facilitate real-time onsite data capturing, and help the organization stay competitive by leveraging AI-assisted planning, resulting in faster project turnaround times and improved growth potential in the clean energy construction sector.

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