Solve the challenges in tender document writing: Qiao Wen Shu enters the government and enterprise market with a structured generation engine

Redefining Bidding Document Productivity with AI: Decoding the Business Breakthrough of Qiaowen Document Intelligent Writing Platform

Against the backdrop of continuous national policy promotion of enterprise digital transformation, Hunan Tianhe Guoyun Technology Co., Ltd. launched the intelligent writing platform "Qiaowen Document", targeting the long - standing pain point of pre - sales proposal writing for enterprises. With its self - developed large - model as the core driving force, it has redefined the industry productivity standard. Since its launch in May 2025, this project has generated over 7.5 million pages of standardized documents in total and provided intelligent solutions for more than 10 key industries.

Policy Drives and Industry Pain Points Catalyze Technological Breakthroughs

Policies such as the "Overall Layout Plan for Digital China Construction" have accelerated the digital transformation of scenarios like enterprise bidding and project application. Medium and large - sized enterprises participate in more than a hundred bids annually. The traditional manual writing model suffers from chronic problems such as long cycles, difficult collaboration, and unstable quality. Qiaowen Document precisely captures this market demand. It trains a large - model in the vertical field based on a vast amount of winning bid proposal data and industry knowledge bases, achieving full - process automation from "policy interpretation - proposal generation - compliance review".

Four Major Technological Breakthroughs Build a Moat

Different from general writing tools, the technical architecture of Qiaowen Document is deeply embedded in industry scenarios. Firstly, the structured generation engine can analyze customer requirements and automatically generate standardized modules such as technical paths and implementation plans. Secondly, the private data fusion modeling supports enterprises to upload historical bidding documents, enabling the generated content to retain the organizational language style. Thirdly, the industry language matching system has built - in more than 20 professional terminology libraries for industries like power and government affairs, ensuring the professionalism of documents. Fourthly, the function of automatically generating documents with both text and pictures breaks through the limitations of traditional text, realizing visual expressions such as flowcharts and Gantt charts.

In practical applications, after a power grid group's e - procurement platform introduced Qiaowen Document, the bidding document preparation cycle was shortened from an average of 3 weeks to 7 days, the labor cost decreased by 30%, and the winning bid rate increased by 15% year - on - year. Feedback from government affairs users shows that the time spent on official document compliance review has been reduced by 60%, and the accuracy rate of policy citation reaches 99.2%.

Commercialization Driven by Dual Engines of "SaaS + Privatization"

Qiaowen Document adopts a differentiated business model. Small and medium - sized enterprises can quickly access it through a SaaS subscription service at 1,888 yuan per month and enjoy an unlimited monthly word - generation quota. For government and enterprise customers with high data security requirements, a privatized deployment solution is provided, equipped with self - trained industry models. The single - project deployment cost is approximately 50,000 yuan. Within half a year of the platform's launch, it has attracted over 500 enterprise users, and 86% of the customers have a strong willingness to renew, verifying the high fit between the product value and market demand.

The Upgrading Route from Tool to Ecosystem

The future plan shows that the team will focus on developing the "intelligent review" module, using blockchain technology to trace the compliance of bidding documents. At the same time, it will extend to scenarios such as international engineering and cross - border procurement and build a global tender database. More importantly, Qiaowen Document has open - sourced the first domestic large - model dataset for bidding, attracting developers to jointly improve the industry knowledge graph. This move may reshape the industry's technological ecosystem.

Currently, the platform has formed typical cases in fields such as construction, energy, and healthcare. Its breakthrough significance lies in reducing the threshold of professional writing through AI - based standardized services, enabling small and medium - sized enterprises to have a proposal output ability comparable to that of top consulting companies. In the wave of the deep integration of the digital economy and the real economy, intelligent writing tools represented by Qiaowen Document are becoming a new type of infrastructure for enterprise competitiveness.