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How Manufacturers Can Leverage AI & Analytics For Strategic Decision-Making

Silvon Software

This underscores the need for a unified approach to data management that transcends traditional departmental barriers, incorporating advanced technologies such as artificial intelligence (AI) and advanced analytics. This helps executives in planning inventory, staffing, and budget allocations.

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Harnessing Data Analytics to Fuel Business Growth

Silvon Software

Developing an Effective Data Analytics Strategy Crafting a data analytics strategy that propels a business towards its objectives is no small feat. It requires a nuanced understanding of what metrics truly matter, alongside an infrastructure that supports robust data analysis and insight generation.

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How to Define a Performance Measurement Strategy

Silvon Software

While clearly important in today’s constantly changing business environment, so many companies continue to struggle with how to measure and improve their performance – grappling with questions like: Which metrics really matter? Can we get the right resources needed to collect data for analysis before it’s too old?

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Unlocking Efficiency with AI in Business Process Automation

Elementum

Inventory Management: Precision and Efficiency through Automation AI and ML transform inventory management by predicting stock levels, automating reorder processes, and optimizing warehouse organization. Performance Metrics When looking at performance metrics , they must reflect efficiency gains and throughput increases.

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The 10 inventory management trends to watch for in 2022

Unleashed

It’s seen businesses adapting rapidly, with technology playing a key role in giving managers the flexibility and efficiency to thrive. Best practice inventory management – and the wider world of supply chain management – has played a big part in business survival through 2021. 10 inventory management for 2022: 1.

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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”

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Using Analytics To Address Supply Chain Challenges

Silvon Software

Supply chains also have the added complexity of numerous other data sources being generated from extended partners in outsourcing, logistics, and distribution. And for many, it’s a struggle to use this data to generate meaningful insights beyond top-level metrics. Let’s take product quality as an example.