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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

The question was, “How can I redefine demand planning processes to use channel data?” The Company focused primarily on retail planning and wanted to extend its capabilities into a consumer products manufacturing solutions offering. Let’s start with the basics. Bear with me.

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Fashion Industry Challenges Require Elegant Demand Planning

ToolsGroup

When you’re perusing luxury handbags online, or testing which cocktail dress suits you the best, you probably don’t pause to consider all the supply chain complexities and analytics required to ensure the fashion items you’re craving are in-stock. shorter product life cycles, and often protracted supply lead times. Hybrid models (i.e.

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Modern TMS Solutions: Driving Sustainability in Supply Chain Operations

Logistics Viewpoints

However, as carbon taxes and emissions reporting requirements continue increasing, supply chain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Sustainability is high on the list of favorite corporate buzzwords.

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Rethinking WMS: Why No-Code / Low-Code Solutions are Transforming Warehousing

Logistics Viewpoints

The average cost of a Warehouse Management System (WMS) install continues to rise each year, with implementations often reaching millions of dollars today. But heres the good news: this doesnt have to be the reality for your warehouse operations. Seasonal businesses with extreme peak demand (e.g.,

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Schneider Electric’s Supply Chain Design Journey

Logistics Viewpoints

Schneider Electric has been working to simplify its supply chain over the last few years. This French public multinational was selected as having the best global supply chain by a leading analyst firm. Schneider Electric’s supply chain operation is of great interest to other practitioners.

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Rapid adaptation to change and supply chain disruption. Greed for more data.

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Logistics Software: How to Make Handling Peak Times Easy

Logistics Viewpoints

During the summer months, in one sector the demand for sun cream explodes while in another, it’s the demand for mineral water. Everyone is familiar with such seasonal demands. The good news is that these peaks come at about the same time every year and can therefore be easily planned for. Peaks are all so different.