AI-Powered Procurement
TenderInABox: Automated BOQ Costing
Executive Summary
TenderInABox leverages cutting-edge AI to transform procurement workflows. It automatically parses and costs complex BOQ documents, reducing bid preparation time from days to minutes.
The Challenge
- /Extracting structured data from diverse and non-standard PDF/Excel formats.
- /Matching technical items with fragmented historical market pricing data.
- /Ensuring high accuracy in mission-critical construction costing.
The Solution
- +Integrated AWS Bedrock (Claude 3) for advanced semantic analysis of technical documents.
- +Developed a robust Python-based data normalization pipeline using Pandas and NumPy.
- +Built a modern Next.js management dashboard for real-time bid review and adjustment.
Business Impact
Achieved 95% accuracy in automated costing and reduced bid prep time by 80%.
Technology Stack
PythonAWS BedrockNext.jsReactFastAPI