What was the impact of the AI solution?

The solution improved scheduling reliability and operational throughput even during staffing gaps. It preserves expert knowledge and enables scalable intelligent automation across operations. Resulted in enhanced operational resilience and efficiency for the logistics company.

Source

MicrosoftProductionEvidence: Low40/100

Composabl Platform: AI Multi-Agent Orchestration for Industrial Logistics Automation

Use case typeWorkflow orchestrationUpdated Jun 13, 2026

Composabl Platform is an end-to-end industrial AI SaaS platform built to orchestrate, train, benchmark, and deploy multi-agent systems in real-world industrial environments.

Organization: A Fortune 50 logistics company
Industry: Logistics
Location: United States
Published: April 2026

Reported outcomes

Strategic outcomes

Speed & agilityEnabled real-time autonomous schedulingScale & capacityEnabled scalable intelligent automationCustomer experience & trustImproved scheduling reliabilityCost efficiencyEnhanced operational efficiency

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: A Fortune 50 logistics company
Provider: Microsoft
Maturity: Production
Linked source: Microsoft Marketplace

Legacy scheduling systems in a Fortune 50 logistics company were fragile and overly dependent on human operators, leading to throughput issues especially during staffing gaps and operational disruptions

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Multi-Agent AI Orchestration
2Industrial Automation
3AI-driven Scheduling

Implemented a multi-agent AI system using Composabl Platform on Azure that replaces legacy scheduling with real-time autonomous decision-making.
The system integrates with existing control systems such as SCADA, MES, HMI, and ERP.
Agents are trained using simulation-based machine teaching to replicate expert operator logic and adapt to changing conditions.

Technologies

Composabl Platform Azure

The solution improved scheduling reliability and operational throughput even during staffing gaps.
It preserves expert knowledge and enables scalable intelligent automation across operations.
Resulted in enhanced operational resilience and efficiency for the logistics company.

Architecture

Composabl Platform uses multi-agent AI systems connected to control and operational systems like SCADA, MES, HMI, and ERP. It enables no-code agent orchestration and simulation-based machine teaching for training agents in realistic environments.

Sources & evidence1

Evidence: Low40/100Evidence strength