Bid Proposal Smart Generator

Pain Points in Bid Document Preparation

In the bidding process, teams often face immense time pressure. The core challenges include:
- Time-consuming information gathering: Sifting through vast amounts of public data to find relevant bidding opportunities, past contracts, and competitor movements.
- Complex requirement matching: Accurately mapping the specific requirements of a tender document (e.g., qualifications, technical solutions, pricing formats) to sections of the bid proposal.
- Repetitive framework building: Many bid structures (like prequalification, technical deviation sheets, commercial terms responses) follow fixed patterns, yet require rebuilding from scratch each time.

This skill is designed to address these specific problems. It does not generate the final bid but rapidly assembles high-quality drafts and content modules based on structured data, allowing teams to focus their efforts on strategy and core technical highlights.

How It Works and Key Capabilities

The skill's core functions as an API orchestration layer, encapsulating and intelligently routing calls to Shibo Technology's full-industry bidding data interfaces. Its workflow is as follows:

1. Data Retrieval and Intelligent Querying

• Natural language activation: It triggers when the user mentions "bid proposal generation," "response list," or "tender document analysis."
• Automatic routing: Based on the query intent, it selects the optimal API. For example:
  • User asks "Find recent tenders in XX industry": Calls SearchProjectForAI for smart search.
  • User uploads a tender document and asks "What attachments are needed?": First calls getZTBProjectDetail for details, then getZTBProjectFiles to retrieve the attachment list.
• Parameter completion: If the user doesn't specify a time range, it defaults to searching the last 30 days; for trend analysis, it automatically expands to 90 days.

2. Structured Processing and Content Generation

The skill doesn't create content from scratch. Instead, it transforms structured data from APIs into content needed for bids:
- From data to key points: Converts search result lists into prequalification checklists, competitor analyses, or project history summaries.
- From text to responses: Parses the body of tender announcements or documents (via getZTBProjectDetail), extracting scoring criteria, procurement needs, and technical specifications to generate draft response clauses.
- Attachment list mapping: Retrieves the original attachment list via getZTBProjectFiles and prompts the user to prepare or supplement corresponding documents for the current bid.

3. Key Limitations and Boundaries

• Dependency on API accuracy: All data comes from Shibo Technology's API; its quality and update frequency determine the reliability of the output.
• Not a full-text generator: The skill produces fact-based draft frameworks and content modules, not final bid documents that comply with all formatting rules.
• Requires human review: For requirements extracted from tender text or related parties inferred from company profiles, the output will mark "requires manual review" or "not disclosed in announcement," and never fabricates information.
• Configuration prerequisite: The BBIAO_API_KEY environment variable must be correctly configured; otherwise, all features are unusable.