Bid Opportunity Practical Assistant

The Problem

Bid-based sales teams face vast national procurement data, making manual filtering of high-value opportunities time-consuming and error-prone. Information is scattered, project value assessment relies on experience, and priority setting lacks data support, leading to wasted follow-up resources.

Core Capabilities and Key Steps

This skill automates bid data processing using the Shibo Technology API, with core capabilities:
- Real-time Data Coverage: Accesses 99.99% of national bid data, with daily updates of 300,000+ opportunities for timeliness.
- Intelligent Interface Selection: Automatically calls APIs like searchProjectApi (keyword search) or getZTBStructreDetail (structured details) based on user queries, no manual configuration needed.
- Structured Output: Organizes raw data into tables, listing fields such as project name, region, amount, procurement party, and winning bidder for quick evaluation.
- Enterprise Profiling: Uses companyProfileSummary to query company basics, customer relationships, and supplier networks, aiding lead mining.

Key steps:
1. User inputs query conditions (e.g., keywords, region, or company name).
2. Skill parses the input and invokes corresponding API endpoints (e.g., SearchProjectForAI for natural language queries).
3. Returns search lists and queries details, attachments, or original links as needed.
4. Outputs structured results to help sales quickly assess project value and follow-up priorities.

Applicable Boundaries and Notes

This skill is focused on bid opportunity mining, but note:
- A valid API Key (configured via environment variable BBIAO_API_KEY) is required; otherwise, API calls will fail.
- Data coverage is national, but some regions or industries may have gaps due to incomplete disclosures.
- Outputs are based on public data; no fabrication. Missing fields are marked "not disclosed" or "N/A".
- Not applicable for non-procurement content (e.g., recruitment, exams); for broad terms, cross-reference industry signals and mark "requires manual review" if relevance is low.
- On query failure, check API Key validity, parameter settings, and interface quota.