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AI-Powered Construction Market Intelligence & Sales Automation

Engineered an AI-powered construction intelligence platform processing 12,500+ daily market updates across 180K+ projects with LangGraph agent orchestration and integrated sales automation.

RoleSenior Full-Stack & AI Engineer
CategoryEnterprise SaaS & AI
ClientConfidential
DomainConstruction Market Intelligence

Tech Stack

ReactNext.jsNode.jsPostgreSQLLangChainLangGraphLLM IntegrationAWS

Project Overview

The client is a leading provider of construction market intelligence across the Middle East, Africa, and South Asia. They required a robust, AI-powered platform to track hundreds of thousands of live construction projects and automate the sales process for suppliers, contractors, and developers. I contributed to architecting the core intelligence layer and sales automation ecosystem.

The Challenge

  • Challenge 01

    Ingesting and verifying tens of thousands of daily updates across 180,000+ active projects without overwhelming the system.

  • Challenge 02

    Engineering an AI orchestration layer that enriches data, prioritizes sales leads, and provides conversational intelligence regarding companies and projects.

  • Challenge 03

    Building a real-time dashboard integrating project data into customized sales workflows including quotes, pipeline forecasting, and team coordination.

Technical Implementation

Continuous Intelligence & Data Pipelines

Architected a highly scalable Node.js and AWS data ingestion engine processing over 12,500 daily market updates. The system links projects, companies, and contacts into a unified intelligence graph with high-frequency updates instantly available across the platform.

Agentic AI Orchestration & Market Analytics

Utilized LangChain and LangGraph to develop a sophisticated conversational AI agent for construction intelligence. The multi-agent system continuously monitors market signals, auto-enriches new project data, and allows users to intuitively query complex stakeholder mappings and market forecasts.

Integrated Sales Automation Ecosystem

Developed a high-performance React and Next.js dashboard eliminating data entry bottlenecks by pre-integrating market intelligence into CRM workflows. Features included real-time predictive lead scoring, automated interaction reporting, and collaborative document management for complex project sales.

Key Achievements & Impact

  • Impact 01

    The real-time intelligence layer enabled clients to identify critical project movements and bid opportunities months earlier than traditional methods.

  • Impact 02

    Embedding verified project data into the sales pipeline dramatically reduced manual data entry and improved cross-team pursuit coordination.

  • Impact 03

    Agentic workflows provided measurable operational advantages, reducing opportunity leakage and empowering executive teams with data-driven pipeline forecasts.

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© 2026 Sahil Bhanvadiya. All rights reserved.