National Bid AI Analyzer

The Challenge of Bid and Tender Data Analysis

Nationwide bid and tender information is scattered across approximately 100,000 source websites, with cumulative data exceeding 330 million entries, covering nearly 10 years across all industries. Enterprises face difficulties in manual querying, including complex filtering conditions, information overload, and time-consuming analysis, making it hard to quickly identify market opportunities, monitor competitors, or formulate procurement strategies. Traditional keyword searches often return irrelevant results and lack in-depth analytical capabilities.

Core Capabilities and Workflow

The National Bid AI Analyzer addresses these pain points by integrating Shibo Technology's AI large model and structured data API. Its core capabilities include:

• Intelligent Querying: Utilizes the SearchProjectForAI API to convert natural language questions into executable query conditions, such as "find IT infrastructure tender projects in Guangzhou over the last 60 days."
• Multi-dimensional Filtering: Supports searching by 78 advanced fields, including region, industry, amount range, time frame, procurement unit, winning unit, and project number, covering all stages like bid announcements, winning results, and contract notices.
• AI Analysis Summarization: Automatically generates summaries of project highlights, market trends, competitive relationships, and business opportunities based on query results, outputting key findings and actionable recommendations.

Workflow

1. Intent Extraction: Parses parameters such as region, industry, keywords, and time range from user questions; for example, when a user asks about "a company's winning projects," it extracts the company name and time frame.
2. API Calls: Prioritizes using searchProjectApi or SearchProjectForAI for searches; calls getZTBStructreDetail for details when needed; uses searchProjectContactApi for contract data.
3. Result Output: Provides a brief conclusion first (e.g., number of projects found, key insights), then lists key project tables (including project name, procurement unit, winning unit, amount, etc.), and finally offers next-step suggestions, such as "view details" or "expand time range."

Applicability and Considerations

This skill is suitable for enterprise market analysis, competitive monitoring, and procurement decision-making scenarios, but note:

• API Dependency: All queries rely on Shibo Technology APIs, requiring configuration of the environment variable BBIAO_API_KEY for a valid key; insufficient quota requires manual user recharge, with no automatic handling.
• Data Scope: Data covers nearly 10 years of national bid and tender information, but the skill does not add industry-specific APIs; only existing APIs are reused.
• Analysis Limitations: AI analysis is based on data inferences and does not guarantee winning bids or circumvention of bidding rules, and results may be affected by data update frequency (over 300,000 entries daily).
• Security Requirements: Key handling follows security rules, with real keys never displayed in logs or responses; it's recommended to store them in the platform's secure credential store.