Why I stopped trading and started tendering with AI
Why I Stopped Trading and Started Tendering with AI For years, I was hooked. The flashing charts, the quick wins (and devastating losses), the constant hunt for the ‘edge’… I was a trader. Primarily focused on crypto, but dabbled in Forex and equities too.
The article discusses the author's transition from trading to tendering, leveraging AI to automate and enhance the tendering process.
What happened
The author stopped trading and started using AI to automate the tendering process, creating a system to analyze and respond to tenders more effectively.
Why it matters
The article highlights how AI can transform traditional processes like tendering, offering new opportunities for businesses to compete more effectively by automating information processing and strategic decision-making.
- AI can be applied to non-trading sectors like tendering to create value.
- Automating tender analysis with AI can enhance business competitiveness.
- The integration of NLP and vector databases is crucial for effective tender processing.
The bigger picture
The use of AI in tendering can significantly reduce the time and effort required to find and respond to tenders, improving efficiency and competitiveness for businesses.
The author's experience demonstrates the potential of AI in transforming traditional business processes, offering new opportunities for automation and strategic decision-making.
Technical details
- Python for data processing and API integration
- Natural Language Processing (NLP) for document analysis
- LangChain for building applications with Large Language Models (LLMs)
- OpenAI API or Hugging Face models for NLP tasks
- Pinecone for semantic search using vector databases
- Flask/FastAPI for web interfaces
FAQ
What is tendering?
Tendering is the process of publicly announcing projects and inviting bids from suppliers, often used in government contracts and business projects.
How does AI help in tendering?
AI helps by automating the analysis of tender documents, identifying relevant opportunities, and improving the strategic bidding process through natural language processing and semantic search.
What technologies are used in the AI system for tendering?
The system uses Python, NLP, LangChain, OpenAI API, Pinecone for vector databases, and Flask/FastAPI for web interfaces.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by Dev.to AI on Oct 7, 2026.
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