Penske Logistics Launches AI Platform to Unify Supply Chain Data

Penske Logistics has launched Supply Chain Insight (SCI), an AI-enabled platform designed to provide a unified, real-time view of supply chain operations across transportation and warehousing. The system consolidates operational data into a single interface, allowing customers to track loads, orders, and inventory while monitoring performance across their networks.

The platform is built on Microsoft Azure with Snowflake as its core data layer and is designed to integrate data from internal systems as well as external partners, including carriers and warehouses. Penske said the system enables continuous operational monitoring and faster decision-making by connecting data that is typically distributed across multiple systems.

The launch builds on earlier efforts by the company to embed AI into supply chain workflows, including automation and operational decision support.

Platform Design Focuses on Data Integration and Performance

Supply Chain Insight is designed to address fragmentation across logistics systems. The platform creates a unified data layer that connects transportation, warehousing, and third-party systems to provide end-to-end visibility.

The system includes more than 85 pre-built and customizable performance metrics, allowing users to monitor long-term trends and operational efficiency in real time. Instead of focusing only on

shipment tracking, the platform is structured to evaluate overall supply chain performance.

An embedded AI assistant enables users to query operational data using natural language, allowing teams to retrieve insights without relying on dashboards or analytics teams. This approach reflects a broader shift toward AI agents that interact directly with enterprise systems.

“Our goal with the launch and development of Supply Chain Insight is to help our customers accelerate supply chain performance,” Jeff Jackson, President of Penske Logistics, said in a statement.

Vishwa Ram, Vice President Data Science and Analytics at Penske Logistics, said during a preview that the issue facing supply chains is not a lack of visibility but fragmentation across systems, which limits how data is used operationally. That challenge has been identified across the freight sector, where disconnected systems continue to slow AI deployment.

Expanding Visibility Beyond Internal Operations

A key component of SCI is its ability to integrate data beyond Penske-managed operations. The platform incorporates information from third-party providers to create a comprehensive view of a customer’s full supply chain network.

This broader visibility allows organizations to identify disruptions, manage exceptions, and coordinate across multiple stakeholders in real time. Penske said the platform is designed to improve collaboration and control across supply chain networks, particularly as operations become more complex.

The development reflects a wider shift in logistics technology, where companies are building systems that unify planning, execution, and analytics into a single operational layer. Similar approaches are emerging across the sector, including AI-driven logistics platforms focused on optimization and network visibility.

“Our customers increasingly need greater visibility and more flexible ways to view their operations,” Mike Medeiros, Executive Vice President of Operations at Penske Logistics, said in a statement.

Penske said it plans to continue expanding the platform by integrating additional systems and extending AI capabilities. The company positioned the platform as part of a broader effort to improve efficiency and resilience as supply chains face rising costs, regulatory changes, and operational complexity.

The shift toward unified, real-time systems aligns with broader changes in logistics operations, where faster execution and tighter coordination are becoming standard requirements.