Proactive Supply Chain Crisis Prevention

AI Agentic Supply Chain Crisis Prevention Configuration - Comprehensive crisis input interface displaying workflow progression stages (Input → Orchestration → Workspace → Decisions → Execution → Outcomes) with AI Predictive Alerts showing 3 active alerts: CRITICAL alert for high probability stockout of part PN-4472 within 72 hours due to port congestion and increased Kia demand requiring immediate action (72h to impact), and WARNING alert for typhoon system approaching Vietnam causing 48-72 hour port delays starting in 5 days with pre-positioning inventory recommendation (120h to impact). Features Affected Part section detailing PN-4472 (Door Panel Bracket) with current stock of 247 units, daily consumption of 82 units, and unit cost of $25 USD. Displays Real-Time Market Intelligence with LIVE status showing market sentiment indicators (Overall +15, Mfg +22, Auto -28, Elec +8, Logistics -12) and commodity pricing trends (Steel HRC $892 rising with medium volatility, Aluminum $2,340 falling with high volatility, Copper $8,450 rising with medium volatility, Plastic Resin PP $1,125 falling with low volatility, Rare Earth Nd $82,500 rising with high volatility) with 7-day and 30-day price changes. Shows Real-Time Risk Metrics with critical indicators: Days of Supply 3.0 (red), Stockout ETA 72h (red), Potential Loss $99,390 (red), and Risk Level HIGH (orange progress bar at 90%). Includes Disruption Details form capturing Supplier Delay at Posco Steel (Vietnam) with Critical severity and 5-day impact, describing port congestion at Haiphong due to typhoon aftermath causing delays on incoming shipments. Displays Customer Context showing Kia Assembly Plant-2 as Critical priority customer with $2,400,000 contract value and $50,000 penalty/day. Features Optimization Constraints with $15,000 max budget and 3-day max lead time, plus Enable Autonomous Execution checkbox for auto-execution at >90% confidence. Lists AI Agents to Deploy: Orchestrator Agent, Supply Chain Analyzer, Supplier Intelligence Agent, Logistics Optimizer, Decision Optimizer, Execution Agent, and Compliance Validator. Shows Technical Config panel with Claude 3.5 Sonnet model, ~45,000 token budget, P95 <8s target latency, and $0.35 estimated cost

Agent Orchestration - Multi-Agent Collaboration in Progress - Interactive visualization displaying Agent Collaboration Graph with network topology showing 7 AI agents coordinating crisis response: Orchestrator at center hub connecting to Supply Analyzer, Supplier Intel, Logistics Optimizer, Decision Optimizer, and Compliance Validator nodes, with status indicators (Idle in gray, Working in yellow, Complete in green) showing 6/7 agents complete. Features detailed Agent Reasoning trace panel displaying real-time AI decision-making with thinking states and confidence scores: Supply Chain Analyzer observation analyzing equipment health data to assess failure risks and maintenance implications (confidence 95%), Data Collector tool call calculating health scores for affected equipment with SP-400 Health Score 34/100 (Critical), Korea Line-3 Health Score 87/100 (Good), MTBF degradation detected with recommended PM within 2 weeks (confidence 98%), Digital Twin Synchronizer observation analyzing digital twin synchronization with 2,847 entities and 12,483 relationships showing Physical-digital deviation 0.3% (confidence 94%), and Supply Analyzer tool call predicting remaining useful life for SP-400 transfer scenario including RUL analysis with 720 hours (Good+ confidence), PM recommendations, and Korea transfer scenario analysis. Displays Live Activity Feed showing timestamped agent actions: Master Orchestrator validating solutions against compliance rules and policies (15:37:25), Decision Optimizer running multi-objective optimization with CPLEX solver (15:37:24), Logistics Optimizer analyzing transportation options and lead times (15:37:25), Supply Analyzer evaluating supplier risk profiles and alternative sources (15:37:25), and Supply Analyzer querying ERP for inventory levels and consumption patterns (15:37:25). Shows Agent Status panel with completion indicators: Orchestrator Agent (claude-3, Done), Supply Chain Analyzer (gpt-4, Done), Supplier Intelligence Agent (claude-3, Done), Logistics Optimizer (gpt-4, Done), Decision Optimizer (claude-3, Done), Execution Agent (gpt-4, Idle), and Compliance Validator (claude-3, Done). Includes Real-time Metrics displaying LLM Calls: 6, Tool Calls: 11, Tokens Used: 22,043, and Cost (USD): $0.35. Features Protocol Details showing h2c gRPC Message Protocol, JSON-RPC 2.0 Serialization, Queue Depth: 0, and Avg Latency: 127ms in green. Displays Context Window Utilization bar chart showing 8,817 / 12,128K with episodic memory enabled indicator. Shows Latency Percentiles performance metrics: P50 (149ms in green), P75 (232ms in green), P95 (240ms in yellow), and P99 (246ms in yellow)

Agent Workspace - LLM Inference Traces and Tool Execution Details - Comprehensive observability dashboard with tabbed interface (LLM Inference selected, Tool Execution, Memory/RAG, Observability) displaying detailed execution traces for all 7 AI agents with color-coded agent icons. Shows Orchestrator Agent (claude-3, chain-of-thought enabled, temp=0.3, max_tokens=4096) with SYSTEM PROMPT defining role as supply chain crisis orchestrator responsible for coordinating multi-agent workflow, analyzing crisis parameters, and synthesizing results. Displays CHAIN OF THOUGHT reasoning showing comprehensive inventory analysis (Current stock: 247 units, Daily consumption: 82 units, Days of supply: 3.0 days, Safety threshold: 7 days, CRITICAL: Stockout risk identified within 72 hours) and recommended action for immediate supplier evaluation and alternative sourcing. Features Logistics Optimizer (gpt-4, chain-of-thought, temp=0.1, max_tokens=4000) with URGENT priority tag showing SYSTEM PROMPT for expedited transportation optimization using TMS APIs, analyzing carrier performance, and route alternatives. Includes AVAILABLE TOOLS section listing track_shipment, book_carrier, and analyze_routes with detailed JSON parameter specifications. Shows Supply Chain Analyzer (gpt-4, chain-of-thought, temp=0.2, max_tokens=4000) with URGENT priority displaying debugging inventory analysis output with PN-4472 data, consumption patterns, lead time variability analysis, and days-of-supply calculations. Presents Supplier Intelligence Agent (claude-3, chain-of-thought, temp=0.2, max_tokens=3500) with URGENT priority showing SYSTEM PROMPT for evaluating supplier alternatives, analyzing risk profiles using ML-based scoring, and assessing contract terms, with AVAILABLE TOOLS including query_supplier_portal and analyze_supplier_risk. Displays Decision Optimizer (claude-3, chain-of-thought, temp=0.0, max_tokens=3500) showing optimization execution details. Lists all agent cards with token usage and latency metrics, execution status, and tool parameters with JSON formatting showing input/output structures for supply chain crisis resolution tools

Tool Execution Observability - Comprehensive Tool Calls Audit Trail - Detailed execution log displaying 11 successful tool invocations across 5 agent types (Logistics, Supply, Supplier, Decision, Compliance) with complete observability including agent identity, tool name, input parameters (JSON), output results (JSON), latency metrics, retry counts, and success status. Shows Logistics agent executing track_shipment tool (pn_number: PN-4472, carrier: DHL) returning shipment status with delays, current_location, estimated_delay in hours, and pickup/route details (366ms latency, 0/3 retries, SUCCESS). Displays Supply agent calling tool-erp-inventory (part_numbers: [PN-2023-0841]) returning current stock information with available quantity 380 units, reserved 81, safety_stock level 150, and reorder_point 200 (318ms latency, 0/3 retries, SUCCESS). Shows Supply agent invoking book_carrier tool for expedited freight booking (carrier_id: KE-0400, service_level: express_air, origin: Vietnam_Plant-2) with booking_ref confirmation, pickup_date, delivery_date in green, cost $892, and ETA success status (212ms latency, 0/3 retries, SUCCESS). Presents Supplier agent executing tool-supplier-api (supplier_id: PS-STEEL-VN, fields: [part_availability]) returning available quantity 380 units, lead_time_days 10, unit_price $25, and next_available_list with dates and quantities (932ms latency, 0/3 retries, SUCCESS). Displays Supply agent calling run_demand_forecast tool (part_number: PN-4472, horizon_days: 30, include_external_signals: true) generating forecast daily average 89 units, peak 94, trend rising with surge_detected and confidence_interval details (1135ms latency, 0/3 retries, SUCCESS). Shows Supplier agent using calculate_risk_score (supplier_id: POSCO-VN) returning risk_score 18 (low), on_time_delivery rate 96.2%, financial_health good, and factors analysis (417ms latency, 0/3 retries, SUCCESS). Includes Supply agent search_knowledge_base tool (query: similar supply chain disruptions, top_k: 5) returning 5 matched documents with titles, similarity scores 0.94-0.71, and impact summaries (179ms latency, 0/3 retries, SUCCESS). Displays Supply agent search_knowledge_base with vector search for similar supply chain disruptions (top_k: 5) showing similar incidents and mitigation strategies (167ms latency, 0/3 retries, SUCCESS). Shows Decision agent running run_optimization_solver (solver: CPLEX, objective: min_cost) generating 4 optimal solutions found with iterations 1247 and recommended solution achieving 94% cost reduction at $8,500 (3465ms latency, 0/3 retries, SUCCESS). Presents two Decision agent search_knowledge_base queries for supplier supply chain disruptions returning 3 matched documents each with similarity scores and summaries (157ms and 152ms latency, 0/3 retries, SUCCESS). Shows Compliance agent executing search_knowledge_base verifying compliance rules and SOX controls (167ms latency, 0/3 retries, SUCCESS). Displays performance summary: Total Calls: 11, Success Rate: 100.0%, Avg Latency: 860ms with colored latency indicators, Total Retries: 0. Includes OpenTelemetry tracing metadata showing trace execution span and observability integration for complete audit compliance