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Bridging the Supply Chain Planning & Execution Gap

Talking Logistics

Historically, there has been a disconnect between Supply Chain Planning and Supply Chain Execution processes and applications. As a result, companies tend to plan, optimize, and execute their inventory, labor, transportation, and warehousing operations separately (that is, in a siloed manner).

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Supply chain disruptions have become a persistent operational risk. Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Amazon is a leader in AI-driven supply chain management.

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Automated Guided Vehicles (AGVs) and AMRs: Redefining Warehouse Automation

Logistics Viewpoints

As supply chains adapt to rising complexity, automation has moved from an optional investment to a core operational strategy. While both AGVs and AMRs transport materials within a facility, they differ in navigation, adaptability, and system architecture. AMRs: What’s the Difference?

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

It has led supply chain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supply chain solutions is eager to explain the ongoing investments they are making in artificial intelligence. AI is not a new technology in the supply chain realm; it has been used in some cases for decades.

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Autonomous Drones and Robotics: The Future of Warehousing and Last-Mile Delivery

Logistics Viewpoints

The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery. Automated Guided Vehicles (AGVs) follow predefined routes and are well-suited for repetitive, fixed-path material transport.

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Interoperability in the Supply Chain: Leveraging the OSI Model for Seamless Logistics

Logistics Viewpoints

In the rapidly evolving world of global supply chains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Transport Layer: Ensures dependable data transfer. Here’s how each layer translates to the supply chain context: 1.

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

The adoption of AI in supply chain automation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. AI in supply chain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics.