NJSS Launches AI-Powered 'Proposal Drafting Assist Function (Beta)' to Support Bidding Companies

Uluru Inc. (Chuo-ku, Tokyo; CEO: Tomoya Hoshi), operating under a unique model that combines "AI and human power" to address labor shortages, has announced the launch of the 'Proposal Drafting Assist Function (Beta)' on its bid information alert service, NJSS (Enujesu). This new feature leverages AI to analyze bidding specifications and support users from requirement organization to the creation of proposal drafts. Additionally, NJSS is simultaneously launching 'AI Research,' a tool that automatically generates bid market analysis reports upon entering 'business type' and 'region'.

Official website for NJSS: https://www2.njss.info/

Background of New Feature Launch

NJSS is a bid information alert service that collects bid and award data from over 9,000 public procurement agencies nationwide, publishing more than 2.9 million bid notices annually and over 21 million cumulative award records (※1). Since its launch, NJSS has focused on solving operational challenges for companies participating in public bidding—specifically, reducing the time and cost associated with case collection and improving bid success rates.

The newly launched 'Proposal Drafting Assist Function (Beta)' uses AI to analyze the vast documentation of bid cases, organize and structure requirements, and automatically generate draft proposals.

Particularly for proposal-based (planning competition) bids, unlike general competitive bidding where the lowest price wins, this method selects contractors based on planning and proposal quality. It is widely used for services such as PR, event planning, system development, training, and education—areas where price alone cannot determine suitability. Under this system, many bidders are disqualified not due to weak proposals, but simply for failing to meet specification requirements. In fact, approximately 90% (88.2%) of companies that failed document screening cited reasons unrelated to proposal content—such as missing requirements—rather than lack of creativity. Breakdowns include: 'lack of bid-specific formalities/rules' (41.2%), 'unmet or unrecorded specification requirements' (29.4%), and 'inappropriate structure not suited for government submissions' (17.6%) (※2).

The root cause lies in the volume and complexity of specifications. With this new feature, AI takes over the task of 'reading and organizing what is required in the specifications,' enabling bidding companies to focus their time on crafting compelling proposals that highlight their strengths.

Additionally, NJSS has received feedback from users who struggle to identify 'which region or industry to target' when searching for bid opportunities, or who wish to 'analyze the bidding market to expand their sales channels.' In response, NJSS is launching 'AI Research,' which generates market analysis reports within minutes based solely on inputs of 'business content' and 'region,' thereby expanding support beyond mere case collection.

※1: As of June 2026 ※2: Based on internal survey

Details of New Features

① Proposal Drafting Assist Function (Beta)

The 'Proposal Drafting Assist Function (Beta)' leverages AI to analyze specifications and support the entire process from requirement organization to draft proposal creation. By clicking the 'Start Proposal Creation' button on the NJSS case detail page, the system automatically completes specification analysis and draft generation. Tasks that previously took 1–4 hours—such as reading and organizing requirements from specifications—can now be completed in minutes, allowing companies to dedicate more time to crafting compelling proposals. Furthermore, all processes—from bid case search and specification download to copying into external AI tools—are now fully integrated within NJSS, significantly reducing operational workload.

The function incorporates NJSS’s long-accumulated expertise in public bidding practices, including bid-specific rules and evaluation criteria. It also employs a two-stage AI verification system: a generative AI extracts requirements, which are then re-verified by a dedicated checking AI, helping to reduce the risk of disqualification due to overlooked requirements. Notably, user-input data is not used for AI training, ensuring confidentiality and enabling secure use even for highly sensitive proposals.

② AI Research

'AI Research' automatically generates bid market analysis reports within minutes based solely on user inputs of 'business content' and 'region.' By analyzing trends such as when bid volumes increase, typical contract values, which companies are winning contracts, and which municipalities are issuing bids, the tool provides actionable insights for determining 'which markets to enter, when, and at what scale.'

For example, simply entering 'equipment maintenance in Osaka Prefecture' allows users to quickly grasp market trends—even in unfamiliar regions. This tool is valuable for both new and experienced bidders, supporting decisions on market entry and competitor analysis.

Future Outlook With these new features, NJSS is evolving beyond a simple bid information search service into a comprehensive platform that supports every stage of the bidding process—from market analysis to proposal drafting—aimed at improving bid success rates and solving diverse operational challenges.

Going forward, NJSS will continue to combine its rich repository of public bidding data and expertise with cutting-edge AI technology to enhance operational efficiency for bidding companies, expand their bid opportunities, and contribute to solving the societal challenge of labor shortages.

【About the Bid Information Alert Service 'NJSS'】 (https://www2.njss.info/)

NJSS is a business support service enabling centralized search and management of public bid and award information from over 9,000 agencies nationwide—including government offices, local municipalities, and affiliated organizations—across a market exceeding 28 trillion yen. It covers all sectors, from services to goods, construction, and engineering. A key feature is its data collection via cloud workers who manually verify information, capturing data that automated programs alone cannot obtain. Launched in 2008, NJSS boasts one of the longest track records in the industry.

In March 2023, NJSS launched 'GoSTEP' (https://www.gostep.biz/), a platform supporting private companies in upstream government business development. In July 2024, it launched the 'Bid Qualification Portal' (https://nsp.njss.info) to streamline public bid qualification management and prevent loss of bidding opportunities—expanding its suite of solutions addressing challenges at every stage of the public bidding process.

【About Uluru Group】 Uluru Inc. (https://www.uluru.biz/)

Uluru is a leading company in solving labor shortages, focusing on the creation and utilization of 'latent labor assets' derived from two sources: 'hidden labor'—people who want to work but cannot—and 'disappearing labor'—workers whose roles are likely to be replaced by AI. Through its unique 'AI and human power' business model, Uluru aims to build sustainable businesses that resolve labor shortages and create inclusive employment opportunities.