Case Introduction
Customer Pain Points
Manual tender information collection is time‑consuming and prone to omissions, with over 60% of retrieved data being invalid. Interpreting multi‑hundred‑page tender documents is labor‑intensive, and non‑compliance risks that could cause bid rejection are easily overlooked. Sales follow‑ups rely on manual checks, leading to missed to‑do items. Hidden delivery risks are hard to detect, and inexperienced new staff frequently make errors.
Solution
This solution addresses three major challenges: difficult customer acquisition with low‑quality tender leads; fragmented follow‑up with missed action items; and bidding difficulties with hidden risk identification gaps.
1.Core Products
- Intelligent Tender Aggregation Engine：Powered by LLM‑driven web crawlers, this tool retrieves the latest tender information from over 30,000 online bidding sources based on pre‑configured filters including target industries, project types, regions, project amounts, and qualification requirements. Leveraging LLM‑based NLP, it extracts key tender data and builds feature tags. Combined with historical bidding records and business scope, it performs precise analysis and matching, then pushes well‑matched tenders to the corresponding sales and bidding teams. It enables end‑to‑end automated workflows covering tender retrieval, analysis, matching, push, and bid evaluation, empowering full‑process efficiency gains for enterprise bidding and lead acquisition.
- AI‑Powered Customer Follow‑up Assistant：Based on LLM NLP capabilities, the system automatically interprets sales follow‑up inputs, structures information, and extracts key insights. It intelligently generates business‑oriented follow‑up plans, shifting the paradigm from "people chasing tasks" to "tasks pushing people." This effectively prevents pending‑task omissions and stalled follow‑ups caused by heavy sales workloads.
- Intelligent Bidding Analysis & Risk Identification System：Applying LLM‑based NLP and multi‑dimensional risk‑assessment models, the system performs deep semantic parsing and comprehensive compliance checks on uploaded bid documents. It outputs assessment results on bid‑issuer credibility, full‑process bidding compliance notes, lists of high‑risk non‑compliance and disqualification items, and full‑cycle delivery risk‑warning reports — supporting bidding compliance monitoring, non‑compliance alerts, and delivery risk control.
2.Key Technologies
- AI Web Crawler: Real‑time data retrieval from over 30,000 sources covering government, industry, and corporate bidding platforms.
- Natural Language Processing (NLP): Extracts tender metadata, structures sales follow‑up outputs, and maintains feature tag libraries.
- Model Algorithms: Customer‑quality and bid‑delivery risk‑assessment models enable precise tender matching and targeted push based on business scope and historical bidding records.
- Semantic Parsing & Entity Alignment Engine: Uses prompt engineering to identify critical entities within sales colloquial inputs and auto‑structure customer requirements, follow‑up actions, and core pain points.
- Follow‑up Plan Generation Agent: Summarizes follow‑up content to generate next‑step plans and calls APIs to create structured to‑do items.
3.Technical Metrics
- ● Tender matching accuracy ≥90%
- Non‑compliance and disqualification item detection accuracy ≥98%
- Delivery risk warning accuracy ≥95%
- 80% faster bid‑document parsing versus manual review
- Semantic recognition accuracy ≥90%
- 100% relevance and fitness of generated follow‑up plans
- Multi‑terminal compatibility (PC and mobile)
4.Solution Highlights
- Multi‑source data validation mechanism to guarantee tender data accuracy
- Competitive‑intelligence auxiliary functions to support bidding decision‑making
- End‑to‑end intelligent early‑warning that auto‑highlights non‑compliance and high‑risk clauses, and predicts risks such as delivery cycles and resource sufficiency
- Traceable output with source references for human‑AI collaborative verification to mitigate AI hallucinations
- No changes to existing sales communication habits — natural‑language input improves usability
- No mandatory form‑filling for sales: AI acts as a "translator" converting verbal inputs into structured data
- Eliminates unmonitored plans and management blind spots by linking follow‑up content with actionable plans
Project Value
Upon deployment, the solution resolves core bottlenecks across customer acquisition, sales follow‑up, and bidding.
1.Smart Bid Sourcing: Cut Costs & Boost Efficiency
Enterprises no longer need dedicated tender‑search and screening staff, delivering 30% lower labor costs, 300% higher tender‑acquisition efficiency, 80% faster target‑opportunity capture, and 70% reduced filtering overhead for irrelevant tenders.
2.Revolutionizing Bidding with Precision & Efficiency
It reshapes the full bidding workflow: average manual bid‑document review time drops from 45 minutes to 8 minutes, bid‑winning rate rises by 10%, and delivery‑risk warning accuracy reaches 95%.
3.Sales Efficiency, Focused on Business Expansion
It also improves both the efficiency and quality of sales lead follow‑up. Average time spent on a single follow‑up log is reduced from 10 minutes to under 3 minutes, freeing up at least one extra hour per day for each sales representative to focus on actual business development.