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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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RFID Enables Nearly 100% Order Accuracy for Retail

Material Handling and Logistics

Using RFID, companies can triple their order accuracy and reduce chargebacks. Line item RFID is showing the capability to increase supply chain efficiency. . This study should cause retail industry stakeholders to consider the immediate positive impact item-level RFID can have on supply chain efficiency. percent order accuracy.

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. Integration allows seamless transitions from data insights to purchase approvals and execution.

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RFID: The Key to Improving Visibility

20Cube Logistics

RFID (Radio Frequency Identification) is one such innovation which is widely used in Supply Chain and Logistics as it’s efficient and saves time. What’s RFID? RFID is a tool to read & understand digital data encrypted in RFID tags through a reader via radio waves. RFID for container tracking.

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Infor Analyst Innovation Summit 2025: A Look at the Future of Industry Cloud

Logistics Viewpoints

Innovation Pillars: Diagnose: primarily powered by Infor Process Mining, this capability helps organizations gain visibility into business processes, uncover non-conforming variants, identify critical bottlenecks, and optimize operations based on data. This involves a Network Data Mesh for unlocking insights.

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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.

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Supply Chain Automation – Is Australia Ready?

Logistics Bureau

Smart Inventory Management – Smart inventory systems use IoT sensors and RFID tags to monitor stock levels in real time. Predictive Analytics and Demand Forecasting – Modern supply chain systems analyse historical data, market trends and even weather patterns to predict future demand.