Opportunity Portal

The Opportunity Portal (analysis.chrono.se) is an innovative tool that leverages AI to analyze Swedish job postings and identify potential ERP consultancy opportunities. By processing data from Arbetsförmedlingen’s Jobstream API and using GPT-4o-mini for intelligent analysis, it helps identify and categorize opportunities specifically for SAP/ERP consultancies targeting large enterprises.

Project Overview

This project explores the application of AI in business development and lead generation, focusing on the Swedish job market for ERP consultancy opportunities. The system analyzes job postings to identify companies with potential ERP transformation needs or consulting opportunities, specifically targeting organizations with billion+ SEK revenue.

The application combines modern web technologies with AI-powered analysis to create an intuitive interface for exploring and understanding market opportunities. While the initial proof of concept successfully demonstrated the potential, it also highlighted areas for future refinement in terms of filtering precision and analysis depth.

Technical Implementation

The project utilizes a modern, efficient tech stack:

Frontend:

• Generated using Lovable.dev for rapid development
• Vite for optimized build and development experience
• TypeScript for type safety
• Clean, intuitive interface for displaying analysis results
• Content in Markdown format

Backend/Analysis:

• Python-based analysis scripts
• Integration with Arbetsförmedlingen’s Jobstream API
• GPT-4o-mini for natural language processing and opportunity analysis
• Token-optimized processing to manage API costs

Key Features

1. AI Job Analysis:

   • Efficient processing of Arbetsförmedlingen job postings
   • AI-powered analysis and categorization of opportunities
   • Focus on large enterprise opportunities (1B+ SEK revenue companies)

2. Intelligent Filtering:

   • Job relevancy analysis
   • Consolidation of job posts
   • Industry and sector categorization
   • ERP/SAP-specific opportunity identification

3. Opportunity Insights:

   • Detailed analysis of potential consulting opportunities
   • Company categorization and grouping
   • Transformation project identification

Development Insights

The project revealed several key learnings:

1. AI Analysis Challenges:

   • Initial filtering criteria needed more refinement
   • Opportunity for more sophisticated classification algorithms
   • Balance needed between breadth and precision of analysis

2. Data Processing Pipeline:

   • Efficient handling of large volumes of job postings
   • Optimized token usage to minimize OpenAI API costs
   • Real-time processing and analysis capabilities
   • Structured approach to data categorization

3. Areas for Improvement:

   • More aggressive filtering criteria needed
   • Deeper analysis of identified opportunities
   • Enhanced company classification system
   • Improved and optimized prompts

Future Enhancements

The proof of concept highlighted several potential improvements:

1. Enhanced Filtering:

   • More precise company size filtering
   • Improved industry-specific categorization
   • Better identification of relevant transformation projects

2. Deeper Analysis:

   • More detailed opportunity assessment
   • Enhanced company profiling
   • Integration with additional data sources

3. User Experience:

   • More detailed opportunity insights
   • Enhanced visualization of analysis results
   • Improved search and filtering capabilities

4. Automation Opportunities:

   • Implementation of automated analysis for new job postings
   • Periodic reanalysis of existing opportunities with new context
   • Integration with CI/CD for automated content deployment

Live Application

Explore the Opportunity Portal at analysis.chrono.se