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Beyond The Data with William Sandoval

The Logistics of Logistics

Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.

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Modernizing MRO using AI with Paul Noble

The Logistics of Logistics

Verusen utilizes advanced data science and artificial intelligence to harmonize disparate material data across multiple enterprise systems to provide complex supply chains with material truth for supply and inventory planning and procurement intelligence. The Greenscreens.ai

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Order Visibility Is Critical Amid Low Inventories

Logistics Viewpoints

But shippers looking to avoid disruptions and ensure that tight inventory levels don’t lead to missed sales opportunities pulled their orders forward. As companies look ahead to the next three to six months, they’re weighing costs, risks, and demand as they plan and adapt their inventory strategies.

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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

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Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). Focusing on this information once per month during the S&OP meeting is too late for all business units to align.

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The role of inventory management and inventory optimization in ERP

SYSPRO Smarter ERP

Inventory management is important because it provides a buffer to balance out the uncertainties between demand and supply. However, while it can be viewed positively, holding inventory also creates problems. As an asset on a company’s balance sheet, reduced inventory results in a higher return on assets.

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Editor’s Choice: AI in Supply Chains: Which Data is ‘Just Right’ for Your Business?

Logistics Viewpoints

Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.