AI Agent

Supply Chain Monitoring AI Agent

Detect supply chain disruptions before they impact customers

"Why didn't we know sooner?" — the question you'll stop asking. Real-time alerts for delays, shortages, and quality issues.

Benefits

Prevent Disruptions Before They Impact Customers

Supply chain problems discovered too late cause stockouts and delivery delays. Manual monitoring of suppliers, carriers, and inventory is reactive. Root cause analysis takes days. This agent detects issues in real time.

80%

Earlier issue detection

60%

Fewer stockouts

Real-time

Supply chain visibility

Agentic Flows

Complete Supply Chain Visibility

Automated workflow: real-time data collection from suppliers and carriers, anomaly detection with ML models, issue identification and severity scoring, stakeholder alerting with details, mitigation recommendation and tracking.

How it works

Intelligent Supply Chain Monitoring

The agent monitors suppliers, carriers, and inventory levels continuously, detects delays, quality issues, and capacity constraints automatically, alerts stakeholders with root cause analysis and impact assessment, recommends mitigation actions.

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Integrations

Connects Your Supply Chain Systems

Direct integration with SAP, Oracle SCM, Blue Yonder, and supply chain platforms. Carrier tracking from FedEx, UPS, Maersk, and freight systems. Supplier connections via EDI, APIs, and portals for visibility.

Implementation

Monitoring Supply Chain in 10 Days

Connect your SCM, ERP, and carrier tracking systems. Configure alert thresholds and escalation rules. Most teams have real-time monitoring running within 2 weeks.

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Supply Chain Intelligence

Real-Time Monitoring

Tracks orders, shipments, and inventory across the entire supply chain. Detects issues instantly.

Predictive Alerts

ML models predict delays and shortages before they occur. Proactive notifications with lead time.

Impact Analysis

Calculates customer and revenue impact of disruptions. Prioritizes response by business criticality.

Demo

See Supply Chain Monitoring in Action

Watch the agent monitor 500 orders in real time, detect 3 carrier delays, identify 2 supplier capacity issues, calculate customer impact, and recommend mitigation actions.