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Bid Opportunity Practical Assistant

Business Operations Updated 2026.08.30

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About this skill

Specific Problems in Bidding Sales

In the bidding field, sales teams often need to filter high-value opportunities from massive tender data. Typical pain points include:
- Data Fragmentation: Tender announcements, bid results, and contract information require collection across multiple platforms.
- Inefficient Filtering: Manually targeting projects by region, industry, amount, and other criteria is time-consuming.
- Lack of Structured Analysis: Difficulty in evaluating procurement unit preferences or supplier dynamics, leading to inaccurate follow-up prioritization.

Core Capabilities and Workflow of the Skill

Bid Opportunity Practical Assistant integrates with the Shibo Technology API to offer the following core functionalities:
- Natural Language Query Conversion: Uses SearchProjectForAI or aiSearchSubmitPolling to transform spoken requirements (e.g., "Beijing school equipment procurement") into executable search conditions.
- Multi-Dimensional Data Retrieval: Calls searchProjectApi for precise filtering by keywords, region, industry, time range, and amount intervals.
- Structured Detail Acquisition: Extracts key fields like procurement unit, winning amount, contacts, and contract terms via getZTBStructreDetail.
- Contract Data Verification: Utilizes searchProjectContactApi to track contract announcements, verifying party information and performance cycles.

The typical workflow includes:
1. Parsing user intent to extract parameters such as region, industry, and project codes.
2. If input is in natural language, prioritizing AI tools to rewrite it into standard search conditions.
3. Selecting the appropriate API to execute searches, returning project lists and structured analysis.
4. Providing opportunity ranking suggestions based on results, such as prioritizing higher-amount or recently active procurement units.

Application Boundaries and Considerations

The tool is effective in the following scenarios but has limitations:
- Data Dependency: All queries rely on the Shibo Technology API, covering 100,000+ source websites, but data updates depend on the service provider and may not include certain niche industries.
- Configuration Requirements: The environment variables BBIAO_API_KEY and BBIAO_SERVER_URL must be set correctly; otherwise, API calls will fail.
- Analytical Limitations: Returned results are objective data; procurement trends or customer profiles are inferred from historical information and do not guarantee future winning probabilities.
- Compliance Use: For information queries and preliminary analysis only, not involving bid strategy circumvention or rule-breaking.

Use Cases

  • Sales representatives need to quickly filter tender projects in the national IT industry over the past 90 days to identify high-value opportunities and create a prioritized follow-up list.
  • Bid specialists analyze a procurement unit's winning data over the past year to extract its purchasing preferences and top suppliers, providing a basis for bidding strategies.
  • Market teams track competitors' recent winning dynamics in the medical equipment field, assessing their project amounts and partners to adjust market positioning.
  • Project managers use natural language queries to generate search conditions, looking up detailed information for a specific project code to verify project value and feasibility.

Best For

  • Sales representatives responsible for regional bidding, needing to regularly scan high-value tenders, precisely target customers, and plan business follow-up activities.
  • Bid specialists who extract key fields from structured data, compile bidding analysis reports, and verify contract performance cycles.
  • Market analysts focusing on industry procurement trends and competitor winning data, used for developing product market entry strategies and sales forecasting.
  • Project managers evaluating project opportunities based on amounts, timing, and procurement unit backgrounds, optimizing team resource allocation and setting bidding priorities.