Remove Forecasting Remove Management Remove Optimization
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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. Optimize workflows by redesigning processes based on data-driven insights. Establish and support continuous improvement initiatives.

Finance 130
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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them.

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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

This is no different in the logistics industry, where warehouse managers track a range of KPIs that help them efficiently manage inventory, transportation, employee safety, and order fulfillment, among others. Let’s dive in with the definition. What Is A Warehouse KPI? Making the use of warehousing metrics a huge competitive advantage.

Metrics 217
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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Join Claire Grosjean for a dynamic discussion on how finance leaders can leverage data-driven strategies to improve spend visibility, enhance forecasting accuracy, and drive cost optimization without losing sight of the human element that makes financial decision-making effective.

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The key to operational AI: Modern data architecture

CIO Business Intelligence

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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What AI already does well in supply chain management

CIO Business Intelligence

That’s because the current generation of AI is already very good at two things needed in supply chain management. The first is forecasting, where AI is used to make predictions about downstream demand or upstream shortages. Ultimately, AI will optimize supply chains to meet specific customer needs for any given situation.