Supply Chain Resilience AI
See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent
Advanced Multi-Agent System
BOFU: Production LangGraph with Router → Specialized Agents → Aggregation
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
MCP Tool Use Pattern
TOFU: LLM calls supply chain tools via Model Context Protocol - see real tool execution
Automation Task
User query → LLM decides tool → Executes check_supplier_status() → Returns structured data
Terminal ready. Run simulation to begin.
RAG-Based Supply Chain Intelligence
MOFU: Search 100+ supplier contracts, risk reports, compliance docs with vector similarity
Search Query
"Search Force Majeure Clauses Across 100+ Contracts"
Embed query → Search contract vectors → Retrieve relevant clauses → Generate comparative analysis
RAG Vector Search Network
Search Results
Run visualization to see results
Multi-Tool Supply Chain Orchestration
MOFU: Multiple supply chain tools working together automatically - daily monitoring
ROI Analysis
Orchestrator calls: Supplier Monitor (500+ suppliers) + Risk Analyzer (25 sources) + Inventory Checker (1000+ SKUs) + Mitigation Planner (contingencies) + Report Generator (3 formats) → Parallel execution → Aggregation → Alert routing
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
Ready for Production Supply Chain Resilience System?
We'll build your custom system: MCP tools (TOFU - try supplier checks) → RAG search (MOFU - search 100+ contracts) → Multi-tool (MOFU - daily monitoring) → Multi-agent (BOFU - 24/7 autonomous system). From demos to deployment in 8 weeks. Prevent $8.6M+ in losses annually.
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