Bid Intelligence Assistant

Problems & Challenges Addressed

In the procurement and bidding sector, businesses often grapple with several core pain points:

• Information Overload and Fragmentation: Bid announcements are scattered across hundreds of thousands of source websites. Manual collection and organization are time-consuming and fail to deliver a comprehensive market view.
• Complex Query Construction: Gaining actionable insights requires cross-filtering by multiple dimensions such as region, industry, time, amount, and purchasing entity, making simple keyword searches inefficient.
• Insufficient Analytical Depth: Raw list results do not inherently reveal purchasing preferences, competitor strategies, or regional trends, necessitating additional data cleaning and correlation work.

How the Skill Works: Core Capabilities & Key Steps

This skill automates the complex query and analysis process by encapsulating Shibona Tech's full-spectrum bid data API. Its core workflow involves:

1. Natural Language Understanding & Condition Conversion: When users make colloquial requests (e.g., "Check for procurement intentions from schools in East China over the last six months"), the skill invokes the SearchProjectForAI or aiSearchSubmitPolling API to rewrite the natural language requirement into structured search conditions, eliminating the need for users to manually construct complex query parameters.
2. Multi-Dimensional Structured Querying: Based on the converted conditions, the searchProjectApi is called to execute the search. This API supports precise or fuzzy matching across 78 structured fields, including region, industry, announcement type, time range, amount bracket, and purchasing entity, returning a standardized project list.
3. Deep Detail Retrieval & Source Tracing: For projects of interest, getZTBStructreDetail can fetch in-depth structured data containing contacts, detailed lists, model numbers, and prices. To verify or view the original announcement, the getCollectUrl API provides the source URL from which the information was collected.
4. Analytical Conclusion Output: Finally, the skill doesn't just return project lists; it synthesizes findings, such as summarizing a purchasing entity's Top 3 winning suppliers or identifying a growth trend in winning bid amounts for a particular industry over the recent period, and offers actionable next steps.

Applicability Boundaries & Key Considerations

• Data Source Limitation: All queries and analyses are exclusively powered by Shibona Tech's bid database. The skill does not introduce any new industry-specific APIs nor connect to other data sources.
• API Key & Quota: A valid Shibona Tech API key must be provided via the BBIAO_API_KEY environment variable. All API calls consume quota. When the API returns error code 0100590006, it indicates insufficient quota; the skill will halt operations and prompt the user to contact the vendor for top-up.
• Scope of Capability: The skill is focused on bid intelligence analysis. It does not guarantee bid success, provide legal or bidding strategy advice, and should not be used for any activities attempting to circumvent fair bidding rules.
• Result Verification: While the data source is authoritative, information like contacts and amounts provided by the skill originates from collected public announcements. For critical decisions, it is recommended to verify using the source link obtained via getCollectUrl.