AI-based bidding preparation

What is AI-based bid preparation?

AI Bid Preparation is a full-cycle AI bidding platform developed by Fazheng Intelligent Technology Co., Ltd.

It brings together business opportunity identification, analysis of tender documents, preparation of bids, risk assessment, and management of corporate resources in one platform.

Product feature matrix

Analysis of tender documents

The platform first conducts a structured analysis of the tender documents, and then assigns the requirements to the respective sections of the tender submission.

• Identify the project name, procurement details, timeline, and key dates.
• Break down the scoring criteria and the specific requirements for each scoring item.
• Extract the requirements regarding bidders’ qualifications, personnel, performance history, and certificates.
• Identify the blindmark format, number of pages, font, and binding requirements.
• Summary provisions that may directly lead to the rejection of a bid.
• Mark ambiguous, conflicting, or missing information that requires manual verification.

Preparation of technical bid documents

• Generate corresponding chapters and content structures based on the scoring criteria.
• Plan the bid document’s structure and length in accordance with the project requirements.
• Prepare dedicated sections based on construction, service, or industry scenarios.
• Reduce repetitive templated expressions through intelligent duplicate prevention.
• Use charts to improve the readability of technical solutions.
• The draft is revised, supplemented, and finalized through a human-machine collaborative approach.

The processes, resources, timeline, and commitments outlined in the technical plan must be verified by project professionals.

Business bids and corporate materials

The business proposal module focuses on accurately including a company’s existing credit history, staff, performance records, and project-related documents in the bid document.

• Assess the creditworthiness of enterprises based on eligibility and scoring criteria.
• Select materials with similar performance records and supporting documents from the project database.
• Editing is carried out online in the original Word file.
• Unify the formatting of fonts, paragraphs, headers, footers, and tables of contents.
• Enterprise materials are accumulated and reused through private databases.
• Before uploading, verify the validity period of the qualifications and whether the personnel are on duty.

Detection of collusive bidding

The workstation claims to cover 10 dimensions and over 40 types of checks, taking into account corporate relationships and risk information as well.

• Compare the similar content in different bid documents.
• Check clues such as images, qualifications, seals, or document attributes.
• Analyze relationships such as corporate equity and joint bidding.
• Creating a corporate risk profile to assist in human judgment.
• Risk warnings are merely clues and should not be equated directly with a conclusion of illegality.
• The testing process must ensure the integrity of the evidence, and it should be reviewed by compliance officers.

Workflow for using AI in bid preparation

1. Log in using the SMS verification code, and new users will be registered automatically.
2. Create a bidding project and upload the complete tender documents.
3. Verify the basic information, qualifications, and key dates extracted by the system.
4. Verify each scoring criterion, the requirements for confidential bidding, and the risks associated with rejected bids.
5. Create a corporate resource database to add documents related to qualifications, personnel, and performance.
6. Generate a technical bid outline and draft chapters based on the scoring criteria.
7. Match the business documents and prepare them in the original Word format.
8. Run checks for compliance, integrity, duplication, and correlation risks.
9. It is reviewed item by item by the project, business, legal, and authorized representative teams.
10. Lock the final version before signing, encrypting, and submitting it.

Private knowledge base

• It automatically parses corporate bidding materials and identifies the content of the files.
• Classification is established based on criteria such as qualifications, personnel, and performance.
• Match relevant materials in specific bidding scenarios.
• Reduce redundant searches and manual copying of corporate data.
• Unify the corporate knowledge assets and project experience.
• Companies still need to set up permissions, maintain records, carry out backups, and handle handovers when employees leave.

Which users are it suitable for

• Construction companies: Prepare construction organization and technical plans.
• Service-based companies: Develop service implementation plans based on the evaluation criteria.
• Bid specialist: Analyzes the tender documents and oversees the progress of bid preparation.
• Business professionals: matching qualifications, personnel, and performance records.
• Management: Screen business opportunities and assess competitive threats as well as implementation risks.
• Compliance team: Checks for disqualified items, duplicate content, and related clues.

Price and procurement methods

As of August 30, 2026, the public page for AI-based quotation generation does not display specific membership packages or fixed prices.

The page for associated products’ AI-based pricing uses placeholder text such as “x yuan per page, starting from x ten thousand”, and this cannot be regarded as the actual price determined by AI.

The final cost shall be determined in accordance with the settlement page of the AI-based quotation system, the sales quote, and the official contract.

Data security and privatization

Bid documents often contain information regarding qualifications, personnel, pricing, technical solutions, as well as confidential business details; therefore, they require higher security standards than ordinary documents.

• Before uploading, confirm the data storage location, retention period, and deletion mechanism.
• Restrict access to the material library and bidding documents by project and role.
• Audit logs are maintained for operations such as downloading, exporting, sharing, and deleting.
• A private database does not equate to a fully private deployment; the architecture should be checked.
• When making purchases for business use, it is necessary to ensure proper encryption, backup mechanisms, disaster recovery options, and procedures for account recovery.
• For classified or restricted projects, the decision as to whether they can be used shall be made in accordance with the organization’s rules and procedures.

API, SDK, and open-source status

As of the verification date, AI Bid Generation does not provide any public API documentation or official SDKs for developers.

No official open-source code repository that can be attributed to this product was found either.

• The capability for integrating with enterprise systems should be confirmed with sales.
• Having an open web interface does not mean that automatic scraping or batch calls are allowed.
• Private deployment does not mean that the source code or model weights are made available.

Usage restrictions and precautions

• “Generated in 10 minutes” and “Prompt response” are part of the product’s marketing claims, and they do not constitute guarantees of outcomes.
• AI may miss veto clauses, misinterpret forms, or confuse scoring requirements.
• The generated content may contain errors regarding processes, parameters, regulations, and commitments.
• Repeating the use of similar templates can still lead to the risk of duplicated content.
• Bid-rigging detection can only provide clues indicating potential risks; the final determination must be made in accordance with the law.
• The final bid document must be thoroughly reviewed and signed by an authorized person.

Frequently Asked Questions

What does AI-based bidding preparation mainly offer?

It covers business opportunities, tender analysis, the preparation of technical and commercial bids, risk assessment, and a knowledge base.

Can AI-based bid preparation automatically identify items that should be rejected?

It can assist in identifying eligibility criteria, requirements related to sealed bids, and reasons for rejecting bids, but it is necessary to verify these details against the original bidding document.

Does AI bid preparation support Word files?

The instructions on the official website’s dashboard state that for commercial bids, it is possible to create documents in native Word format online and to use intelligent formatting tools.

How much does it cost to have AI prepare a bid document?

The public page does not show a fixed price at the moment; the actual cost shall be based on the information available on the account page or in the sales quotation.

Does AI-based bid preparation support private deployment?

The company offers enterprise and privatization services, but the specific scope, costs, and structure require confirmation through a quote request.

Does AI bid preparation provide an API?

The official website does not yet make the developer APIs or SDKs available; to establish corporate connections, it is necessary to contact the sales team.

Is AI bid preparation an open-source tool?

No verifiable official open-source repository was found; moreover, private deployment does not equate to an open-source product.