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Minimizing Supply Chain Disruption Through Analytics: A Brief Guide

Using analytics in the supply chain has the most potential to dramatically reduce costs of supply chain management, as well as minimizing supply chain disruption. Unfortunately, the upfront investment costs for deploying the technology necessary to use analytics can be difficult to justify, so Warehouse Managers need to know a few things about house analytics…

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Making Better C-Suite Decisions in the Supply Chain

The C-Suite is responsible for all decisions regarding the overall operation and success of warehouses, logistics networks, and supplier partnerships. C-Suite decisions in the supply chain can mean the difference between saving money or hemorrhaging profit margins. Warehouse Managers need to understand this fact, how disconnects between managers and executives adversely affect the supply chain,…

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Lean Inventory: Using Lean Initiatives To Manage Inventory

What is Lean Inventory Management? What techniques are applied to make it successful? More firms are implementing lean inventory management techniques to reduce costs, improve flexibility and have more time to focus on their customers. Lean supply chain and inventory management enable Small Medium Businesses (SMB) to improve efficiency and increase profits. As firms look to reduce waste, increase…

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A Predictive Analytics Mindset in Omnichannel Supply Chain Management

Knowing what will happen in the future of omnichannel supply chain management would be fantastic, and it would eliminate all concerns over inventory location and customer shopping habits. Clairvoyance is not possible, but the next best thing, predictive analytics with omnichannel supply chain management, is. Warehouse Managers need to take a predictive analytics mindset in…

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Descriptive, Predictive, & Prescriptive Analytics in the Supply Chain…Oh My!

The rise of the digital supply chain has allowed Warehouse Managers, transportation providers, and suppliers to work together in new, profound ways. Part of this new level of collaboration revolves around the use of data in the supply chain. Today, supply chains generate enormous sums of data, and the data can be transformed into predictive…

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Applied Analytics in the Warehouse

Applied analytics in the warehouse can make or break successful omnichannel supply chains, and today’s supply chain leaders have taken note of this trend. As found by a recent survey of more than 3,000 business executives (IBM Big Data and Analytics Hub), industry-leading companies are actively using applied analytics in the warehouse to reduce lead…

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Real-World Scenario: Best Practices for Warehouse Contracts

Who doesn’t love a good contract? Of course…everyone…right? Well, not entirely. When it comes to the logistics industry, whether it’s transportation management contracts or warehouse contracts, there are a million moving parts, and as many questions. In the below is a real-world example of a consultant coming to a third party logistics company with the…

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Big Data in Warehouse Management: How Using Big Data Leads to Proactive Warehouse Management

Big Data has been a hot-button topic in supply chain circles for years, and its implications are growing even faster. As noted by Bernard Marr of Forbes magazine, analytics are the latest-generation means of monitoring and forecasting in today’s supply chains. Using Big Data in warehouse management can effectively streamline the most important phase of…

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Data and the Supply Chain: What is a Data Warehouse and Why is it Important in Supply Chain Management?

Few factors affect the quality and success of supply chains more than the use of Big Data and supply chain management platforms. According to Bernard Marr of Forbes magazine, data and the use of analytics in the supply chain are now a fundamental, driving force in modern supply chains. Today’s systems generate more data in…

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[WHITE PAPER] WMS Implementation Pre-Design: Challenge the Status Quo

Design sessions in a WMS implementation cycle are often incomplete – requirements are missed, individuals attending may not be the right ones, others may not be adequately prepared, and system capabilities are not always known up front. This can lead to extended project timelines, additional costs, and implementations with a compromised “end” state. Pre-Design is…

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