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Online: 3K+ Agents Active
Digital Worker 10 AI Agents Active

AI Agentic Pricing Engine Digital Worker

Implements a multi-agent orchestration system using the ReAct pattern where ten specialized AI agents collaborate to analyze RFQs, optimize pricing, and generate intelligent quotes. The system processes market intelligence, inventory data, contracts, and demand forecasts in parallel to produce optimized quotes with win probability predictions.

10 AI Agents
4 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: ai-agentic-pricing-engine

Problem Statement

The challenge addressed

B2B distributors struggle to optimize pricing across thousands of SKUs while balancing competitive positioning, margin targets, inventory levels, and customer-specific contract terms. Manual pricing decisions are slow, inconsistent, and fail to captu...

Solution Architecture

AI orchestration approach

Implements a multi-agent orchestration system using the ReAct pattern where ten specialized AI agents collaborate to analyze RFQs, optimize pricing, and generate intelligent quotes. The system processes market intelligence, inventory data, contracts,...
Interface Preview 4 screenshots

RFQ Configuration Workflow - Select customers, configure RFQ complexity (25-200 line items), and view the 10 specialized pricing agents ready for orchestration

Agent Orchestration Dashboard - Real-time system metrics, multi-phase execution graph, live activity feed with tool executions, and agent performance tracking

AI-Optimized Quote Analysis - Optimized quote value with margin projection, win probability, AI confidence score, and actionable recommendations with key findings

Comprehensive Analysis Summary - Executive metrics, detailed agent performance overview for all 10 agents, and prioritized AI recommendations for quote optimization

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

10 Agents
Parallel Execution
AI Agent

Pricing Orchestrator Agent

Coordinating multiple specialized pricing agents with complex dependencies requires intelligent workflow management to ensure optimal execution order and result synthesis.

Core Logic

Coordinates all specialist agents through task delegation, manages execution flow across parallel and sequential phases, synthesizes final recommendations by resolving conflicts between agent outputs, and maintains the shared context for collaborative decision-making. Implements dependency resolution to ensure agents execute in optimal order.

ACTIVE #1
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AI Agent

Market Intelligence Agent

Pricing decisions made without competitive intelligence lead to lost deals or margin erosion. Organizations need real-time visibility into competitor pricing and market trends.

Core Logic

Analyzes competitor pricing across 500+ data sources, identifies market trends and pricing patterns, calculates competitive positioning for each SKU, and performs price benchmarking. Executes tools to fetch competitor prices, analyze market trends, and determine price position relative to competition with confidence scores.

ACTIVE #2
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AI Agent

Inventory Optimizer Agent

Static pricing fails to account for inventory positions, leading to overstock carrying costs and missed opportunities to clear slow-moving inventory through strategic discounting.

Core Logic

Performs multi-warehouse inventory analysis to identify slow-movers, overstock situations, and stock-based pricing opportunities. Executes tools to query real-time warehouse stock levels, calculate inventory age and days-on-hand, and recommend clearance pricing strategies that balance margin with inventory turn goals.

ACTIVE #3
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AI Agent

Contract Analyzer Agent

Customer-specific contracts with tier discounts, volume commitments, and special pricing are complex to apply consistently, leading to pricing errors and compliance violations.

Core Logic

Reviews customer contracts to extract pricing rules, validates proposed prices against contractual terms, analyzes volume tier progress and bonus eligibility, and ensures pricing compliance. Uses tools to load contracts, validate pricing rules, and calculate tier-based discounts with full audit trail.

ACTIVE #4
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AI Agent

Margin Optimizer Agent

Balancing profitability with competitive pricing requires sophisticated optimization that considers cost basis, price elasticity, and win probability across multiple scenarios.

Core Logic

Uses ML-based optimization to balance margin targets with competitive positioning. Executes tools to calculate cost basis, run margin optimization models considering price elasticity, and predict win probability using historical deal outcomes. Produces pricing recommendations that maximize expected value.

ACTIVE #5
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AI Agent

Demand Forecaster Agent

Pricing without demand visibility leads to stockouts on high-demand items and overstocking on declining products. Seasonal patterns and trend changes are often missed.

Core Logic

Predicts future demand using Holt-Winters time-series analysis and seasonal pattern detection. Executes tools to fetch sales history, run forecasting models, and assess stockout risk. Calculates safety stock requirements and recommends pricing adjustments to manage demand-supply balance.

ACTIVE #6
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AI Agent

Risk Assessor Agent

Pricing decisions carry multiple risks including margin erosion, contract violations, inventory exposure, and market volatility that require systematic assessment.

Core Logic

Identifies and quantifies risks across pricing, inventory, contract, and market dimensions. Scans for pricing vulnerabilities, assesses contract compliance risks, and quantifies potential financial impact. Produces risk scores with mitigation recommendations for each identified risk factor.

ACTIVE #7
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AI Agent

Supply Chain Intelligence Agent

Global supply chain disruptions, geopolitical risks, and logistics challenges impact product availability and costs but are rarely factored into pricing decisions.

Core Logic

Analyzes global supply chain dynamics including geopolitical risks, logistics routes, and supplier diversification. Evaluates alternate suppliers, calculates tariff impacts, and assesses supply route reliability. Provides pricing adjustments recommendations based on supply chain risk premiums and availability.

ACTIVE #8
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AI Agent

ESG & Sustainability Agent

Sustainability requirements increasingly influence B2B purchasing decisions, but pricing fails to account for ESG factors or offer green alternatives.

Core Logic

Evaluates environmental, social, and governance factors for pricing decisions. Calculates carbon footprint for Scope 1, 2, 3 emissions, assesses ESG scores, identifies green alternatives with carbon reduction potential, and evaluates supplier sustainability metrics. Recommends sustainability premiums or discounts based on ESG performance.

ACTIVE #9
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AI Agent

Regulatory Compliance Agent

International sales require compliance with export controls, sanctions, and data privacy regulations that vary by jurisdiction and product classification.

Core Logic

Ensures pricing and sales compliance with export controls (ECCN classifications), sanctions screening, GDPR/CCPA data privacy requirements, and industry regulations. Verifies export restrictions, screens customers against sanctions lists, validates data privacy compliance, and generates audit-ready compliance documentation.

ACTIVE #10
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The AI Agentic Pricing Engine is an enterprise-grade multi-agent system for dynamic B2B pricing optimization. The orchestrator coordinates specialist agents that analyze market conditions, inventory positions, contract terms, demand patterns, and risk factors to generate optimized quotes with transparent decision traces and configurable approval workflows.

Tech Stack

4 technologies

Multi-agent orchestration with dependency resolution

Claude AI integration for ReAct reasoning patterns

Real-time streaming of agent thoughts and tool executions

Integration with ERP, CRM, and market data APIs

Architecture Diagram

System flow visualization

AI Agentic Pricing Engine Digital Worker Architecture
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