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Capitalizing on ERP trends in 2024

SYSPRO Smarter ERP

ERP trends 2024 – achieving business success through the use of innovative technologies Now that Artificial Intelligence and Machine Learning are firmly established, we expect to see a massive take-up of these technologies by manufacturers in 2024. The other emerging area around AI in ERP focuses on trend analysis and forecasting.

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Trends Shaping the Chemical Industry

Trinity Logistics

Adapting to trends is crucial for chemical manufacturers to stay successful. The most profitable companies will be ones that work with business partners who keep them updated on these trends and embrace any changes that may come their way. For example, it can help automate manual tasks and analyze vast amounts of data faster.

Trends 102
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Top 10 SCM Trends for 2024

Logistics Business Magazine

Ralf Duester, board member of the Bochum-based SCM software specialist Setlog, shows which trends will be important in 2024. At a glance: The top ten SCM trends in 2024 1. Open-source software is increasingly convincing In detail: The ten most important SCM trends in 2024 1. Skilled labour shortage forces action 2.

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COVID Has Fundamentally Changed the Profession of Supply Chain Management

Logistics Viewpoints

The toilet paper shortage was one of the COVID era events that taught people what the term “supply chain management” meant. In warehouses, for example, one solution is labor management. The trend toward automation has never gone away. But these events were not predictable – they might happen, they might not.

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Generative AI in Supply Chain: How It Impacts Your Logistics

Trinity Logistics

Foundational Model This is where the training/learning takes place, where you’re teaching the AI how to look at things and look at input. Large Language Model (LLM) This model is trained on vast amounts of text, can interpret what you’re asking of it, and can put a response in words that you can understand.

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How Advanced Route Optimization Techniques can save you Time and Money

Log-hub

Type of Multi-Tier Supply Chain Analytics DESCRIPTIVE ANALYTICS : Involves analyzing historical data to understand past performance and identify trends. EXTERNAL DATA : Market trends, supplier performance data, and social media sentiment. Tools like dashboards and reports are commonly used. Here, standardization plays a vital role.

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How Advanced Route Optimization Techniques can save you Time and Money

Log-hub

Type of Multi-Tier Supply Chain Analytics DESCRIPTIVE ANALYTICS : Involves analyzing historical data to understand past performance and identify trends. EXTERNAL DATA : Market trends, supplier performance data, and social media sentiment. Tools like dashboards and reports are commonly used. Here, standardization plays a vital role.