Remove Data Management Remove Logistics Remove Metrics Remove Procurement
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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

The Emergence of Logistics as Constraint. Initially, the output was published to procurement to design strategic buying strategies. Procurement became an island–isolated from the demand signal except for MRP. Procurement became an island–isolated from the demand signal except for MRP. Over time, this changed.

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Top 15 Logistics Blog Posts of 2014

GlobalTranz

We continue our top blog posts of 2014 from our main categories today by focusing on something at Cerasis we are experts in : Logistics. If you are familiar with the term logistics, then you undoubtedly know it conjures up a different meaning to different people , different countries, and different companies even. Read the full Post.

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7 Tips: A Guide to Mastering Procurement

Material Handling & Logistics

With the digitization of the source-to-pay process being a key initiative for many chief procurement officers, to the inherent automation which promises to accelerate innovations such as artificial intelligence (AI), digitization is growing. However, it is fundamental to empowering procurement success in the modern age.

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How Procurement Can Add Value To Supplier Master Data Management

ivalua

Jarrod McAdoo, Senior Product Marketing Manager, Ivalua. Master supplier data doesn’t just matter to Procurement. It plays a role in a number of necessary business functions and is a key enabler of automation throughout the Procure-to-Pay (P2P) process. Risk management. Operations.

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Unlocking Efficiency with AI in Business Process Automation

Elementum

The strategic application of artificial intelligence (AI) enhances these functions by automating tasks, analyzing data, and optimizing workflows. Procurement: Automated Procurement Processes AI enhances procurement by automating supplier selection, contract management, and purchase order processing.

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Using Analytics To Address Supply Chain Challenges

Silvon Software

Logistics disruptions, production delays, an over reliance on 3 rd parties, and labor market shortages are just some of these challenges. Supply chains also have the added complexity of numerous other data sources being generated from extended partners in outsourcing, logistics, and distribution.

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Using Data to Improve Supply Chain Operations

Material Handling & Logistics

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. Today’s supply chains are increasingly complex, driving logistics operations to invest billions in systems to manage all the moving parts.