National Cross-Industry Procurement Opportunity Insight Assistant

Problem Being Solved

Bidding and procurement data are scattered across announcements, contracts, company profiles, and attachments. A plain search usually returns project rows, but it is hard to tell which purchasing demand is worth pursuing, which suppliers maintain stable relationships, or what patterns exist in budgets and fulfillment cycles. This skill focuses on national cross-industry procurement opportunity analysis. It converts natural-language queries into conditions for the Shibao Technology bidding data API, supporting customer lead discovery, buyer profiling, top supplier analysis, purchase frequency, contract performance, and budget preference analysis.

How It Works

The skill first identifies intent, then extracts region, industry, buyer, keywords, time, announcement type, amount, supplier, and exclusions. If region is missing, it defaults to nationwide; search queries default to the last 30 days, while trend or profile tasks may extend to 90 days or 12 months. It is constrained to a whitelist of endpoints such as SearchProjectForAI, searchProjectContactApi, and companyProfileCustomers: the first is for AI-assisted bidding search, the second for contract verification, and the third for enterprise customer profiles. Results filter out unrelated items like recruitment, training, conferences, news, and personnel notices, and rank projects by relevance, publication time, amount clarity, buyer clarity, and attachment or source availability.

Limits and Caveats

Output must separate facts returned by the API from data-based recommendations. Amounts, dates, project IDs, attachments, and source links must not be inferred. The skill does not add undocumented endpoints, bypass API access controls, or promise winning bids. If quota or balance is insufficient, it must stop and await explicit user action rather than purchasing or retrying in a loop.