Remove Data Remove Shipping Remove Transportation
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How to Optimize Fulfillment with Unified Data

Logistics Viewpoints

Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management.

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The Emergence of Supply Chain Data Fabrics

Logistics Viewpoints

The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. Now companies are trying to collect data from multiple tiers of a supply chain in near real-time. Decisions need to be digitized.

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

Logistics Viewpoints

Physical Layer: Transmits data over a physical connection. Data Link Layer: Handles data transfer between connected nodes. Network Layer: Manages data routing. Transport Layer: Ensures dependable data transfer. Presentation Layer: Translates between data formats. These seven layers are: 1.

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Schneider Electric’s Supply Chain Design Journey

Logistics Viewpoints

Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. These facilities produce and ship 150,000 order lines per day. By 2014, the company had purchased the Coupa solution, developed an internal modeling team, and created data extraction and cleansing routines.

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Smarter Networks for Customer Fulfillment

Speaker: Hannah Testani, COO, Intelligent Audit

You've probably noticed that shipping costs are going up. Have you ever wondered if your transportation spend is as optimized as it could be? It's 2019, and consumers are expecting shipping to be cheap and quick, but that can turn into a real headache from the shipper's side of the equation if you don't make the appropriate changes.

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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

Fuel prices and a shortage of drivers are putting transport logistics under immense pressure. The biggest challenge in the transport sector today: there just aren’t enough drivers. This is where big data technologies come into play. Big data for real-time optimizations in transport logistics.

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Key Takeaways from SAP Spend Connect Live

Logistics Viewpoints

SCCN solutions allow trading partners to collaborate across defined trading partner processes based on a common data model. For example, a buyer might say, “You only shipped me 800 of the 1000 products I ordered.” And the supplier might reply, “I only agreed to ship 800.”

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