Precision Bid & Customer Acquisition AI Engine

The Problem It Solves

In bidding and sales operations, accurately fetching relevant tender opportunities and client information is a major challenge. Traditional methods involve manual searching across multiple procurement websites or using generic tools with rigid keywords and noisy results, leading to inefficiency and missed opportunities. The core pain point is: how to quickly and precisely filter out business opportunities matching your industry, region, and target clients from hundreds of thousands of daily-updated announcements?

Core Capabilities & Workflow

This AI engine leverages the extensive bidding dataset API from Shibo Technology (世舶科技), combined with natural language understanding and structured queries, to provide precision-based lead generation. The workflow is as follows:

1. Intent Understanding & Condition Parsing: The engine first parses the user's query to extract key dimensions, such as:

   • Region (e.g., "Beijing", "East China")
   • Industry (e.g., "Healthcare IT", "Smart City")
   • Keywords (e.g., "Smart Campus", "Cybersecurity")
   • Procuring Entity (e.g., "A Municipal First Hospital")
   • Winning Bidder, Project ID, Budget/Amount Range, and Time Period.

2. Intelligent Search & Data Retrieval: Based on the parsed conditions, the engine calls different core interfaces:

   • Natural Language Query: For colloquial user descriptions, the SearchProjectForAI interface converts the description into an executable query.
   • Structured Precise Query: The searchProjectApi filters by field combinations to retrieve lists of tender/procurement projects.
   • Detail & Deep Analysis: getZTBStructreDetail fetches structured project details, including procuring entity, winning bidder, amount, contact person, across 78 fields.
   • Contract Verification & Source Tracing: searchProjectContactApi searches contract announcements to verify execution, while getCollectUrl retrieves the original announcement link.
   • Industry Smart Matching: The industryReasoning interface infers industry codes from vague user descriptions.

3. Result Presentation & Suggestions: The engine returns a concise conclusion, a table of key projects, and actionable next-step suggestions, such as viewing details, expanding the search time range, or subscribing to similar opportunities.

Applicable Boundaries & Caveats

• Domain Specificity: This skill is specialized for querying and analyzing bidding and procurement data. It does not handle other business processes like CRM, contract signing, or payment.
• Data Dependency: All results originate from Shibo Technology's API dataset (over 3.3 billion records). Queries are bounded by the API's data coverage and update frequency.
• API Access: A valid BBIAO_API_KEY environment variable must be configured before use. Key management requires strict security; never expose or attempt to automatically obtain a key.
• Query Flexibility: While natural language is supported, the most precise queries rely on specific, structured criteria provided by the user (e.g., exact entity name, project ID).
• Quota Limits: API calls are subject to quota limits. When exhausted, manual top-up is required; the engine does not automate payment.
• Result Verification: Information like amounts and dates is sourced directly from official announcements. For critical decisions, it's recommended to manually verify via the original link obtained through getCollectUrl.