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NRF 2024: Supply Chain Data

Logistics Viewpoints

The usual themes were still very present as solution providers and retailers alike were more than happy to talk about omni-channel, mobility, robotics, and machine learning, to name a few. This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain.

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The Past, Present, and Future of Technology in the Warehouse

Logistics Bureau

For example: Paperwork and data entry: WMS has reduced the need for people to spend time completing paper forms or entering data from documents into spreadsheets and other data-management applications. Further examples can be seen if you look around. So let’s move on and do just that.

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What is Internal Logistics: Importance, Elements and Examples

3PL Links

What is Internal Logistics: Importance, Elements and Examples | Image Source: Google Images. For example, the operations manager. This includes, for example, everything related to warehouse and logistics. Computer resources: it is the set of software that allows the management of technical data.

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Real-life Examples of Supply Chain Optimization

Log-hub

By leveraging technology, data analytics, and innovative strategies, companies can streamline their supply chains and achieve significant improvements. Here are some real-life examples of successful supply chain optimization across various industries. These initiatives include water recycling systems, rainwater harvesting, and so on.

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

Logistics Viewpoints

This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Logistics and transport service providers create enormous data records as they manage the flow of goods. These data include information such as types of goods, location, weight, size, origin, and destination.

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Forklift Telematics Data – Vital Statistics

Logistics Business Magazine

Forklift telematics systems deliver the vital statistics data that every warehouse or distribution centre manager needs to get the most from their materials handling equipment budget. For example, how busy are they during their working day? Are more drivers needed to run the operation smoothly or is the opposite the case?

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Data Everywhere: AI in Logistics

Logistics Business Magazine

Most shippers, carriers and logistics service providers understand the importance of data collection and data-driven decision-making. Data collected over time provides intelligence, enabling companies to enhance long-term decision-making. Artificial intelligence is a potent tool that helps companies get the most from their data.