Intelligent B2B Order Processing & Risk Management Platform
Orchestrates 12 specialized AI agents through a 6-phase workflow covering order intake, validation, risk assessment, optimization, routing, and fulfillment. Each agent contributes domain expertise while the orchestrator ensures coherent decision-making with full audit trails.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Agent Orchestration dashboard with 6-phase execution workflow processing B2B orders through 12 specialized agents including validation, risk assessment, fraud detection, compliance, supply chain, and fulfillment routing with live activity feed showing real-time agent status
Order Analysis Results displaying approved status with 98% confidence score, LOW risk level, $35,842 order value with 24.5% expected margin, next steps workflow, AI recommendations for fulfillment optimization, and comprehensive agent score breakdown across all 12 agents
Agent Details panel showing all 12 specialized agents with individual performance scores, processing durations, and findings including Order Validation (95), Customer Risk (90), Fraud Detection (95), Compliance (100), Supply Chain Intelligence, Market Intelligence, Inventory, Fulfillment Routing, and ESG Sustainability agents
Technical Metrics dashboard displaying 113,274ms total processing time, 1.71x parallel efficiency, 162 MB peak memory usage, 65% cache hit rate, 4,928 data points analyzed, 468 rules evaluated, detailed agent timing breakdown visualization, and orchestration architecture overview
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Managing 12 specialized agents through complex order processing workflows requires intelligent coordination, phase sequencing, and aggregation of diverse agent outputs into coherent order decisions.
Core Logic
Controls the 6-phase order processing pipeline, triggering agents in optimal sequence, aggregating results, and managing phase transitions. Handles agent failures gracefully, maintains processing state, and generates consolidated order recommendations with explainable reasoning.
Order Validation Agent
Incoming orders contain errors, inconsistencies, and missing information that cause downstream processing failures and customer service issues.
Core Logic
Performs comprehensive order validation including SKU verification, quantity checks, address validation, pricing consistency, and specification completeness. Flags issues for correction and enriches orders with missing standard information from customer profiles.
Inventory Intelligence Agent
Order fulfillment requires real-time inventory visibility across multiple locations, with intelligent allocation considering availability, location proximity, and replenishment timing.
Core Logic
Queries real-time inventory across all warehouse locations, calculates optimal allocation strategies, predicts stock availability for future dates, and recommends substitutions or partial fulfillment when exact matches are unavailable.
Customer Risk Agent
Extending credit and fulfilling orders without assessing customer risk exposes the business to bad debt, payment delays, and fraudulent accounts.
Core Logic
Evaluates customer creditworthiness using payment history, credit bureau data, financial indicators, and behavioral patterns. Calculates risk scores, recommends credit limits, and flags high-risk orders for enhanced review or prepayment requirements.
Pricing Optimization Agent
Static pricing misses optimization opportunities from volume discounts, customer tiers, market conditions, and competitive positioning that could improve margins or win rates.
Core Logic
Analyzes order characteristics, customer tier, volume, competitive pricing, and margin targets to optimize pricing. Recommends discounts that maximize order probability while maintaining profitability, and identifies upsell opportunities.
Fraud Detection Agent
Fraudulent orders result in chargebacks, lost inventory, and operational costs. Traditional rule-based detection misses sophisticated fraud patterns.
Core Logic
Applies machine learning models to detect fraud indicators including unusual order patterns, velocity anomalies, shipping address mismatches, and device fingerprinting signals. Calculates fraud probability scores and recommends verification actions.
Fulfillment Routing Agent
Optimal order routing across multiple fulfillment centers requires balancing inventory availability, shipping costs, delivery times, and capacity constraints.
Core Logic
Evaluates all fulfillment options considering inventory location, carrier rates, transit times, and facility capacity. Recommends optimal routing with fallback options, and supports split-shipment decisions when beneficial.
Compliance Check Agent
Orders must comply with regulatory requirements, trade restrictions, product certifications, and contractual obligations that vary by customer, product, and geography.
Core Logic
Validates orders against compliance rule databases including export controls, product restrictions, licensing requirements, and contractual terms. Flags non-compliant orders and recommends remediation steps.
Supply Chain Intelligence Agent
Order commitments made without supply chain visibility risk delays from supplier issues, logistics disruptions, or capacity constraints.
Core Logic
Monitors supplier status, production capacity, logistics conditions, and lead times to assess fulfillment risk. Provides supply chain health scores and recommends adjustments to delivery promises based on current conditions.
ESG Sustainability Agent
Growing customer and regulatory requirements for sustainability reporting require tracking environmental, social, and governance metrics across order fulfillment.
Core Logic
Calculates ESG scores for order fulfillment options including carbon footprint, sustainable material usage, supplier labor practices, and packaging impact. Recommends sustainable alternatives and generates compliance documentation.
Market Intelligence Agent
Order decisions made without market context miss opportunities to optimize timing, pricing, and sourcing based on market conditions.
Core Logic
Provides market insights including commodity price trends, demand forecasts, competitive intelligence, and seasonal patterns. Informs pricing decisions, inventory recommendations, and strategic order prioritization.
Predictive Analytics Agent
Reactive order processing misses opportunities for proactive customer engagement, inventory positioning, and capacity planning.
Core Logic
Applies predictive models to forecast customer order patterns, identify cross-sell opportunities, predict fulfillment issues, and recommend proactive outreach. Generates actionable predictions with confidence intervals and business impact estimates.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
7 technologies
Architecture Diagram
System flow visualization