AI-powered automated article monitoring system for industrial projects

Introduction

HST Management Group accelerated the identification of greenfield, brownfield, and energy projects by implementing an AI-powered automated system.

Goal: Automatic monitoring, evaluation, and immediate internal notification of industrial news appearing on the internet.

Solution Process

Scheduled Execution

The AI system automatically activates daily or weekly at predetermined times.

Keyword Search

Scans the internet based on custom vocabulary – e.g., “factory construction”, “solar PPA”, industrial terms.

Full Text Analysis

The system processes complete content, not just titles or metadata, enabling deeper text understanding.

Relevance Analysis

The AI model assigns scores to each article using intelligent algorithms based on complete context.

Discord Notification

The most relevant articles automatically appear on the sales team’s Discord channel, enabling quick response.

Technical Background

The system is a hybrid web scraper and AI text interpreter solution consisting of the following components:

Web scraper: Processing HTML pages, extracting structured data
NLP module: Determining context, project type, and status from text
Evaluation system: Intelligent algorithm for filtering relevant results
Integration layer: Sending immediate notifications through Discord API

Business Application

HST integrated the system directly into the sales preparation process:

Identifies potential business opportunities in early stages
Enables proactive contact, staying ahead of competitors
Provides quick response time to new project appearances
Minimizes human resources spent on manual searches

Results

Multiple active negotiations started based on automatically received news
The system discovered projects that had not yet appeared on public tender portals
Significant time and human capacity savings thanks to automated pre-filtering
Faster response to industry changes and new opportunities

Continuous Development

The system is under constant development:

Model fine-tuning for more accurate relevance determination
Runtime logic optimization for more cost-effective operation
Adding new languages, geographical areas, and sectors
The ultimate goal: a self-improving, proactive business opportunity monitoring engine

Next Step

Using the system, HST Management implemented a faster, more accurate, and automated business development process.

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