Recently, INT Network officially released its self‑developed product — **INT AI Business Opportunity Assistant Decision‑Making System**. This product marks an important attempt in our AI application practice. Combined with our real‑world business experience, it integrates large‑model capabilities into bidding scenarios to deliver intelligent tool support for daily business operations.
When handling bidding work, either for in‑house market expansion or serving industry customers, we have observed common industry pain points. Tender information comes from scattered sources with huge data volume. Manual retrieval and screening of announcements cost substantial manpower. Valid business leads are hard to identify from massive documents. Without standardized lead management, teams spend much time on information sorting, which slows down business progress.
To address these real‑world pain points, our internal R&D team built INT AI Business Opportunity Assistant Decision‑Making System. The system aggregates public bidding data sources and leverages large‑model AI for intelligent tender parsing and opportunity mining. It supports multi‑dimensional filtering by region, industry, project type and time frame. Both on‑demand search and scheduled background capture tasks are available for automatic opportunity collection. Original tender source links are fully preserved. Projects can be marked as pending‑verification, and project lists support one‑click bulk export in CSV format for offline follow‑up.
Compatible with mainstream LLMs such as DeepSeek, the system invokes AI to intelligently interpret tender documents and extract key business information, converting raw announcements into high‑value leads and reducing repetitive manual screening work. Enterprise‑grade encrypted data protection is implemented. Multiple login options including account‑password, email verification‑code and WeChat OAuth are provided to balance usability and data security.
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> **Key Product Highlights**
1. Intelligent Opportunity Mining: AI parses full‑volume tender data and auto‑collect public bidding information
2. Multi‑dimensional Filtering: Combined search by region, industry, time and project type for precise target project matching
3. Automated Scheduled Task: Custom schedules for background automatic data collection to save manpower
4. LLM‑Powered Document Analysis: Large‑model AI extracts key business information from tender texts
5. Closed‑loop Lead Management: Pending‑verification marking, source‑link traceability, CSV bulk export for full‑cycle lead follow‑up
6. Enterprise‑grade Security: Multi‑mode login and encrypted storage to secure business data
INT Network states that this system targets enterprises with tender‑lead acquisition demands. It frees marketing teams from tedious repetitive information‑gathering work, allowing staff to focus more on project evaluation and business negotiation, and practically improve lead‑acquisition efficiency and decision‑making quality.
As our practical achievement in AI application, this product will keep iterating and optimizing based on real‑world user feedback. Meanwhile, the company will keep focusing on our core IoT positioning hardware business. Industry insights accumulated from hardware projects will feed into software tool polishing, so as to deliver more practical products for customers.
The system is now officially available. Enterprise clients can visit our product page for further information and business consultation.
