Bid Document Preparation Assistant

Core Challenges in Bid Document Preparation

Preparing bid documents often involves significant hurdles: fragmented information gathering, requiring manual collection of bid announcements, enterprise profiles, and historical award data from disparate sources, which is time-consuming and error-prone; complex response structuring, ensuring commercial and technical materials are complete, format-compliant, and gaps are quickly identified; and difficult data validation, lacking access to real-time, industry-wide bid data for effective opportunity analysis and risk assessment. Manual processes are inefficient and may lead to bid failure due to incomplete information.

How the Skill Works: Core Capabilities & Key Steps

This skill automates complex bid data queries and analysis by integrating Shipu Technology's API, which provides access to 3.3 billion+ real-time bid records across all industries. Its core capability lies in intelligently parsing user intent and invoking precise endpoints to deliver structured outputs. The key steps are:

1. Configure API Access: First, obtain a BBIAO_API_KEY and set it as an environment variable. This is the foundation for all data interface calls.
2. Natural Language Parsing & Interface Mapping: When a user asks, for example, "Find smart city tenders in Beijing from the last 30 days," the skill internally uses aiSearchSubmitPolling to convert the natural language query into structured search parameters. It then automatically selects and executes the appropriate interface, such as searchProjectApi or SearchProjectForAI.
3. Multi-Dimensional Data Retrieval & Analysis: Based on the query type, the skill invokes a suite of tools: getZTBStructreDetail for detailed structured data (e.g., purchaser, amount, timeline); companyProfileSummary for enterprise profiling; and getZTBProjectFiles to retrieve attachments for requirement analysis.
4. Synthesizing Results & Highlighting Gaps: The skill consolidates returned data into a clear report, listing project name, region, key dates, and amount. For bid preparation, it automatically compares results against common response requirements, explicitly identifying missing commercial or technical materials and using historical data to flag potential risks, such as "the purchaser has recently awarded multiple contracts to the same vendor" or "pay attention to specific technical parameters in the scoring criteria."

All outputs are based on real-time API responses, covering 78 advanced fields (including lists, models, and prices), ensuring data recency and accuracy.

Applicable Scenarios & Important Considerations

This skill focuses on data-driven assisted decision-making, not replacing the manual compilation of the final document. Effective use depends on the following:

• Proper BBIAO_API_KEY configuration is mandatory, and the account must have sufficient quota. Call failures will return specific error codes (e.g., 0100590006 indicates insufficient balance).
• Data Coverage Scope: Leveraging Shipu's data sources, it covers national bid announcements, but information on non-public or highly niche industries may be incomplete. Fields marked as "not disclosed by announcement" are common and should not be fabricated.
• Outputs Are for Reference Only: Generated response directories, material checklists, and risk analyses must be validated by the user (engineer or procurement team) against specific tender requirements and commercial judgment. The skill explicitly avoids inventing any amounts, contacts, or links.
• Typical Trigger Scenarios: It is suitable for specific bid data queries, document review, and preliminary opportunity scanning, but not for real-time bidding operations or legal document generation.