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What are Digital Twins and How Can They Drive Warehouse Efficiency?

Logistics Viewpoints

The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. To define what exactly it is, a digital twin is a virtual replica of a physical asset, process, or system. Simulation is the most widely used benefit of a digital twin.

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The smart factory Part 1: Digitization, digitalization and digital

SYSPRO Smarter ERP

The digital transformation of the operations and processes of factories and supply chains is based upon digitization of carefully selected machines and digitalization of the related business processes. To understand this question, we will need to understand what are the differences between digitization and digitalization?

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Why manufacturers should integrate business intelligence tools into their ERP software

SYSPRO Smarter ERP

Here’s an example. After all, data is the foundation of digital transformation, and according to McKinsey the pandemic caused companies to accelerate their digital transformation plans by three to four years. Mid-market manufacturers need a tool that’s tailored to their needs.

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Digital technology helps mitigate climate change risk

Logistics Business Magazine

For example, in a future that includes raw material scarcity and trade uncertainty, organisations that rely on more resilient inputs such as drought resistant crops can gain a competitive advantage,” Wheatley said. Only 19% of surveyed companies are using digital technology to help understand climate change risks.

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6 Crucial steps to starting your digitalization Process

SYSPRO Smarter ERP

Part of the solution is to have an ERP system that is already set up for the future and which can offer the capabilities and information needed for digitalization – enabling the digital transformation process. Here are the steps to guide you along the digitalization journey. But where do you start?

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Generative AI in Supply Chain: How It Impacts Your Logistics

Trinity Logistics

That is one example of a public version of Generative AI. There are advances in the works to help “fact check” the tool, but you must remember whatever Generative AI does today is opaque. But you must make sure you’re on the right (private) version of the tool. Another feature is enables tools to call digital actions.

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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Another example of data normalization is accounting for lost sales due to stockouts or waste of perishable products due to overstocking of inventory. For example, the demand for the Chocolate Peanut Butter Cup will behave much more similarly to the flavor of Chocolate than Rainbow Sherbert. Wouldn’t it be cool to know within minutes?