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Data-driven decision making in manufacturing

SYSPRO Smarter ERP

Data-driven decision making is the process of collecting the data that a company uses, and transforming it into actionable insights. Using data to find patterns, inferences, and insights ensures that your company goals and plans are based on evidence and that decisions made are balanced and objective.

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How to Optimize Your Customer Experience With Enhanced Optimized Routing

WorkWave

Advanced route planning software utilizes real-time data, predictive analytics and machine learning algorithms to create efficient delivery schedules tailored to each driver’s route. FreshPath Logistics FreshPath’s routing software provides a data-rich experience, enabling them to track deliveries with precision.

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Customer Relationship Management for Ecommerce Brands

Ship Monk

Today’s CRM platforms have adapted and expanded their tools to meet the needs of ecommerce businesses. Let’s take a look at CRM systems, the tools they provide, and the benefits they offer to ecommerce businesses. Here are some of the tools CRM systems offer.

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Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Cloud-based supply chain management tools, the Internet of Things (IoT), artificial intelligence (AI) and machine learning are expected to figure prominently in future supply chain operations. More data is coming in than ever before.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Don’t have the right tools/tools are too complex or expensive. Lack of skilled resources. Lengthy time to plan/execute.

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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. Generative AI is first trained on a foundational model and then fine-tuned with human feedback and additional data. That is one example of a public version of Generative AI.

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Logistics Software: How to Make Handling Peak Times Easy

Logistics Viewpoints

Transparent data prepared especially for your logistics operation will get you easily through your peaks. In this context, the magic words are clear logistics data and integrated software systems. Before the peaks – using data analytics to make the right decisions. The data can be used to make a precise forecast.

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Building AI to Unlearn Bias in Recruiting

This eBook covers these issues & shows you how AI can ensure workplace diversity. Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology.