Full Network Bid Intelligence Analysis Assistant

The bidding and tendering market generates vast, fragmented information across hundreds of thousands of government and corporate websites. Manually collecting and cross-referencing specific projects, procuring units, or supplier track records is incredibly time-consuming. Sifting through announcements, verifying contracts, and tracking pre-construction projects is not only inefficient but risks missing key opportunities or competitor moves due to information gaps. Full Network Bid Intelligence Analysis Assistant aims to structure and automate this process.

Core Capabilities and Working Principles

This skill is not a generic web scraper. It operates by querying and analyzing a massive, pre-structured bidding database via APIs provided by Shibo Technology (世舶科技). Its core capabilities include:

• Multi-Dimensional Structured Query: Supports precise filtering through interfaces like searchProjectApi or the natural language interface SearchProjectForAI, using at least 7 dimensions including region, industry, keywords, procuring unit, winning bidder, budget amount range, and time period.
• Deep Information Penetration: Once a target project is identified, you can retrieve structured details with up to 78 fields (e.g., buyer, winner, contact person, amount, contract period) via getZTBStructreDetail, or view the original announcement text via getZTBProjectDetail.
• Full-Chain Opportunity Tracking: The skill can not only search for tender announcements (searchProjectApi) but also bid winning results, contract announcements (searchProjectContactApi), and potential pre-construction projects (searchNZJProjectApi), covering the complete chain from procurement intent to project execution.

Typical Workflow

For a user query like "Analyze a company's winning bids over the past year," the skill executes the following steps:
1. Intent Parsing & Condition Extraction: Extracts core elements from the user's natural language (company name, time range "past year", goal "winning bid situation").
2. Query Construction & Execution: Constructs the extracted conditions (company name, time range, announcement phase=winning bid) into parameters for the searchProjectApi call and executes the search.
3. Result Aggregation & Presentation: Sorts the returned list (e.g., by winning bid amount) and prioritizes key fields like Project Name, Procuring Unit, Winning Amount, Region, Release Date, Announcement Phase.
4. Insights & Recommendations: Provides initial conclusions based on the results (e.g., total winning amount, main client industries) and suggests next steps, such as viewing the detailed contract for a specific project (searchProjectContactApi) or tracing the source URL (getCollectUrl).

Applicability and Important Notes

• Data Scope: Relies on Shibo Technology's data source, primarily covering publicly available information aggregated from over 100,000 websites. It cannot access extremely niche, non-public, or internal tender information.
• Nature of Analysis: Provides factual queries and trend summaries based on historical public data. It does not constitute any form of commercial forecasting, bid success probability calculation, or advice on circumventing rules.
• Interface Limitations: Strictly limited to the 8 API interfaces documented for this skill. It does not involve industry-specific or undocumented interfaces.
• Accuracy: Data accuracy depends on the upstream source websites. The skill preserves the original values of critical fields like amount and time without secondary processing or speculation.