YunJing BiaoShu AI: Smart Bid Document Generation Platform 214

云境标书aiis a vertical artificial intelligence platform for bidding and tendering developed by Hangzhou Shenru Yunjing Technology Co., Ltd. Backed by the AI technology background of Zhejiang University and the ecosystem partnership resources of Baidu, it provides individuals and teams in bidding with intelligent tools covering the entire workflow from tender document parsing to the output of bidding documents.

In fields such as government procurement, engineering construction, medical services, and central/state-owned enterprise procurement, it is common to encounter problems like short bidding document production cycles, highly specialized requirements, and easy omission of scoring points. Through AI technology, 云境标书AI compresses what used to take several days of work into mere minutes, reducing labor costs and the risk of bid invalidation.

Core Highlights

Two core features of 云境标书AI are permanently free: Tender Document Parsing and Table of Contents Outline Generation.

• Tender Document Parsing: Extracts key information such as project overview, qualification requirements, scoring criteria, and bid invalidation clauses within 1 minute. The parsing accuracy is no less than 99%, with full coverage of bid invalidation clauses. It helps quickly grasp the key points of the tender and avoids bid invalidation caused by misunderstandings.

• Table of Contents Outline Generation: Automatically generates a standardized first-, second-, and third-level outline structure aligned with the tender's scoring points. It supports manual adjustments and reuse of historical templates. It builds a professional framework for bidding documents, ensuring content stays tightly aligned with the scoring criteria.

New User Bonus: Sign up and receive 100,000 characters of credit (approximately 150–200 pages) to experience AI-powered bidding document production for free.

Core Capabilities

Functional Completeness: Covers the Entire Bidding Process

• Builds an end-to-end functional system of "document parsing → content generation → knowledge management," from intelligent tender document parsing to one-click generation of bidding documents, meeting the needs of various types of bidding document production.

• Supports generating bidding documents with more than 5,000 pages

• Allows custom control of chapter word count and total page count

• Accurately covers every scoring point, whether for large EPC general contracting projects or complex IT integration projects

• Enables "tender today, submit today"

Industry Expertise: Adapted to 300+ Industries

• The system has a built-in knowledge graph covering more than 300细分 industries, deeply integrating professional knowledge in fields such as medical, engineering, and information technology. With a rich template library and case library, it intelligently matches industry plans, qualification documents, and technical parameters during document generation, ensuring professional and compliant content.

• A Smart Hospital Construction Project: Automatically cited over 300 medical qualification documents, with a 40% improvement in the alignment between technical plans and scoring points

• Smart Construction Site Project: Historical plan reuse rate reached 70%, improving bidding document quality and bid-winning rate

Security and Compliance: Financial-Grade Protection

Adopts national cryptographic algorithm encryption to achieve financial-grade security protection:

• Full HTTPS/TLS encryption for data transmission

• Physical isolation of user data at the storage layer

• Commitment not to use user data for model training or commercial purposes

• Complies with the requirements of the Data Security Law

• Supports private deployment to meet the data controllability needs of large enterprises and confidential projects

Cost-effectiveness: Low Learning Curve, Guaranteed After-Sales Support

• Simple to operate: new users can quickly master the key points of bidding document production through the standard framework and risk warnings generated by AI.

• 7×24 customer service response

• Flexible pricing: duration-based packages and word-count add-on packs

• Package prices: Standard Monthly Card at 88 RMB/month (includes 1,000,000 characters of credit); Unlimited Annual Card at 2,888 RMB/year (unlimited characters)

• Reduces traditional manual production costs by more than 80%

Technical Core

Adopts an integrated technical framework of "vertical large model + knowledge graph + retrieval-augmented generation + vectorized enterprise knowledge base":

• Vertical Large Model Deep Understanding: Trained on massive bidding documents and industry standards, it accurately identifies implicit needs and rigid requirements, with parsing accuracy far exceeding that of general-purpose models.

• Retrieval-Augmented Generation (RAG): When generating content, it accurately recalls relevant materials from the enterprise's private knowledge base and public industry knowledge bases, combined with context-aware generation, reducing content hallucination and ensuring authenticity and reliability.

• Multimodal Content Generation: Supports automatic generation of tables, flowcharts, and high-definition images for a rich combination of text and graphics; also supports online image search and custom illustrations.

• Vectorized Enterprise Knowledge Base: 1G of permanent free storage space. Uploaded historical bidding documents and qualification files are automatically vectorized and intelligently referenced when generating bidding documents, enabling efficient reuse and accumulation of enterprise knowledge assets.

Feature List

• Tender Document Interpretation: Parse tender documents (extract project overview, scoring criteria, bid invalidation items, etc. within 1 minute, supporting DOC, DOCX, PDF); parse bill of quantities (one-click parsing of divisional and subdivisional work contents and quantities).

• Bidding Document Generation: Custom table of contents outline (flexibly modify chapters, supports template reuse); generate large-page bidding documents (supports 5,000+ pages, custom total page count); chapter word count/page count settings; precise coverage of scoring points; anonymous bidding mode (supports anonymous bidding formats from different provinces and cities nationwide, one-click generation of compliant anonymous bidding documents); one-click full-text generation (generate 300,000-character bidding document in 10 minutes); smart image insertion (automatically generate tables, flowcharts, and images, supports custom chart quantities); online image search; user prompt input; chapter version history management; real-time visibility of the generation process; bidding document format and style settings (custom titles, body text, table styles); download bidding documents (one-click download in DOCX format, compatible with Word and WPS).

• Knowledge Base Management: Large-capacity knowledge base (1G permanent free storage space, supports uploading various unstructured documents); knowledge base referencing (intelligently references historical materials when generating bidding documents).

Applicable Scenarios

Scenario 1: Rapid Response (Short Tender Cycle)

When the time available for bidding document production after a tender announcement is limited, 云境标书AI can parse the tender document in 1 minute and generate a 300,000-character bidding document draft in 10 minutes, compressing the cycle from several days to several hours and helping seize the initiative quickly.

Scenario 2: Complex Bidding Documents (Large Projects)

For complex projects with hundreds of pages and scattered scoring points (such as smart construction sites and government cloud services): The knowledge graph is used to break down scoring criteria, the large-page generation feature covers all details, smart image insertion improves bidding document quality, and the enterprise knowledge base is leveraged to call upon past cases. Case study: For a smart construction site project, automatically generating an 800-page bidding document took only 15 minutes, with more than 200 construction flowcharts and schedule tables generated alongside the text.

Scenario 3: New User Onboarding (Lack of Experience)

When new bidders are unfamiliar with bidding document standards and implicit requirements: The smart outline provides a professional framework, tender document parsing highlights risk points, and the AI-generated bidding documents can serve as reference templates, helping new users quickly master the essentials and reducing the risk of bid invalidation.

Scenario 4: Knowledge Accumulation (Enterprise Asset Reuse)

When an enterprise's historical bidding documents, cases, and qualification files are scattered and difficult to leverage: The enterprise knowledge base can store these assets in a structured manner and intelligently reference them during document generation, achieving efficient knowledge transfer and standardized reuse, and avoiding knowledge loss caused by staff turnover.