Cross-Industry Competitor Bid Analysis Assistant

What problem it solves

When analyzing bid competition, teams often struggle with fragmented data, unclear metrics, and conclusions without evidence. This skill targets cross-industry tender and bid data by turning natural-language questions into structured queries for competitors, customers, suppliers, project values, regional footprint, and industry trends.

How it works

• Intent recognition: determine whether the user is searching projects, discovering opportunities, reviewing competitor wins, or analyzing contract relationships.
• Condition extraction: parse keywords, region, industry, time range, announcement type, buyer, winner, amount range, and exclusions.
• Controlled API use: call only whitelisted endpoints such as searchProjectApi, getZTBStructreDetail, companyProfileSummary, companyProfileCustomers, and companyProfileSuppliers.
• Result cleanup: remove irrelevant items such as recruitment, exams, meetings, and news; broaden or narrow filters when results are thin or noisy.
• Actionable output: provide a one-line conclusion, five key facts, competitive posture, entry opportunities, and next steps, with data scope and source fields stated.

Boundaries: it depends on the configured upstream bid data API. Conclusions are limited by returned fields, time windows, and sample size; they should not replace manual review of original announcements, qualification documents, and contract terms.