Project Overview
The BD Bidding Assistant System is an intelligent bidding support platform developed for Baozun E-commerce’s internal BD team. Based on privately deployed large language models and fine-tuning technologies, the system automatically performs project analysis, industry research, and brand studies by uploading RFP documents and integrating internal company knowledge bases. It generates professional bidding proposals, presentation scripts, and retrieves successful case studies.
Core Features
- Intelligent RFP Parsing: Automatically extract key information and requirements from bidding documents
- In-depth Project Analysis: Comprehensive analysis of project background, requirements, and technical specifications
- Industry Research Reports: Automatically generate relevant industry market analysis and trend reports
- Brand Research Analysis: Target customer brand background and competitor analysis
- Knowledge Retrieval System: Quickly retrieve company historical projects and successful cases
- Bidding Proposal Generation: Automatically generate professional bidding documents based on analysis results
- Presentation Script Creation: Generate structured bidding presentation materials
Technical Architecture
Private LLM:
- Internal deployment and fine-tuning based on open-source models
- Optimization for business scenario terminology and expressions
- NVIDIA Triton inference server for high-performance inference
- Data security and privacy protection mechanisms
Knowledge Base System:
- Organization and vectorization of company historical project archives
- Industry reports and market data knowledge base
- Successful cases and best practices library
- Competitive analysis and customer profile data
RAG Enhancement:
- Elasticsearch for efficient full-text search
- Hybrid retrieval: keywords + semantic similarity
- Context relevance ranking and re-ranking
- Multi-turn dialogue and context understanding
Workflow Process
- RFP Upload Analysis: Upload bidding documents, AI automatically parses requirements
- Project Background Research: Analyze project industry, customer background, competitive environment
- Knowledge Base Retrieval: Match relevant historical projects and successful cases
- Proposal Framework Generation: Generate bidding proposal structure based on requirements and experience
- Detailed Content Writing: Generate complete bidding documents and technical proposals
- Presentation Material Creation: Create PPT outlines and presentation scripts
- Quality Review Optimization: Content review and format optimization
System Features
1. Private Deployment:
- Complete intranet deployment ensuring data security
- Autonomous and controllable model training and optimization
- Compliance with enterprise information security requirements
2. Deep Knowledge Base Integration:
- Comprehensive integration of 10 years of historical project data
- Industry expert experience and best practices accumulation
- Dynamic updates and continuous learning mechanisms
3. Professional Customization:
- Deep customization for Baozun’s business characteristics
- Specialization in vertical domains like e-commerce, retail, and branding
- Professional business language and expression methods
4. Full Process Coverage:
- Complete support from RFP analysis to final presentation
- Standardized bidding processes and quality control
- Multi-role collaboration and approval mechanisms
Application Scenarios
Major Client Bidding:
- Bidding for well-known brand e-commerce projects
- Complex technical solution design and demonstration
- Differentiated positioning in multi-party competitive environments
Government Procurement:
- Government digitalization project bidding
- Meeting compliance requirements and technical standards
- Demonstrating social responsibility and corporate values
Strategic Partnerships:
- Establishing long-term partnership relationships
- Deep business integration solution design
- Joint development planning and vision description
Innovation Highlights
- AI + Knowledge Base: Deep integration of AI capabilities with enterprise knowledge assets
- End-to-End Automation: Intelligent processing of the entire bidding workflow
- Experience Inheritance: Converting expert experience into reusable AI capabilities
- Quality Standardization: Ensuring professionalism and consistency of bidding documents
- Continuous Learning: Optimizing system capabilities based on bidding result feedback
Business Value
- Efficiency Revolution: Bid preparation time reduced from weeks to days (85% reduction)
- Quality Enhancement: Professional bidding documents and presentation materials (90% improvement in consistency)
- Success Rate Improvement: Proposal optimization based on historical successful experience (45% increase)
- Knowledge Management: Systematic utilization of enterprise knowledge assets (300% increase in utilization)
- Team Empowerment: Enhancing BD team’s professional capabilities and work efficiency (5x improvement)
