Tender Document Intelligent Parsing and Bidding Assistance Tool

Problem

Tender documents often scatter critical details across sections: scoring rules, procurement requirements, qualification thresholds, contract clauses, and formatting requirements may appear across dozens of PDF or Word pages. Bid teams must manually compare deadlines, mandatory documents, dark-bid formatting rules, and risk clauses, which is easy to miss and hard to turn into an actionable division of labor.

How It Works

The skill turns parsing into auditable steps:
- Text extraction: supports PDF and Word files; for documents over 50 pages, it prioritizes evaluation rules, procurement requirements, instructions to bidders, and contract terms.
- Structured parsing: builds a data model around fields such as PROJECT, EVAL_SCORES, TECH_REQS, RISKS, and QUALIFICATIONS, then generates scoring strategies, a bidding SOP, and a task list.
- Report and workbench: outputs a Word analysis report and a single-file HTML workbench. The workbench includes pages for project overview, SOP tracking, evaluation analysis, risks, qualifications, staffing, and pricing simulation, with persistent checkboxes, theme switching, and export.

Boundaries

• Suitable for early bidding preparation, task tracking, and clause checks; it does not replace legal, finance, procurement, or audit conclusions.
• OCR quality affects field completeness for scanned documents; after generating the HTML, run node --check to validate scripts and avoid blank pages caused by data replacement.