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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Another example of data normalization is accounting for lost sales due to stockouts or waste of perishable products due to overstocking of inventory. For example, the demand for the Chocolate Peanut Butter Cup will behave much more similarly to the flavor of Chocolate than Rainbow Sherbert. Wouldn’t it be cool to know within minutes?

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Orchestrate and Operate Sustainable Transportation by Leveraging Logistics Data

Logistics Viewpoints

Meeting today’s logistics challenges of the three C’s – customer service, carbon, and cost – companies are not just looking at gathering data, but also how to better interpret and understand this data, and then use it to drive additional value. How about your need for a seamless corporate transportation analysis?

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8 Inventory Management KPIs for Effective Inventory Analysis

EazyStock

Inventory Management KPIs for Effective Inventory Analysis. But with a wealth of inventory KPIs available to choose from to include in your inventory analysis methods, which ones are the most important to ensure you’re on the right track to optimum efficiency? Managing inventory is a complex business. Inventory turnover ratio.

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3 Warehouse Insights for Supply Chain Leaders from the Wall Street Journal’s Industry Analysis

Stord

The Wall Street Journal’s recent analysis of retailers’ logistical challenges highlights the appeal and success of alternative solutions to traditional warehousing in retail and beyond. All of these factors are stressors on traditional warehousing models. We’ve rounded up the key insights from the article below.

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Vendor Managed Inventory Model for Supply Chain Cost Reductions

GlobalTranz

Below I will outline how a vendor managed inventory model, in conjunction with reverse marketing, value analysis, and collaboration will achieve supply chain cost reductions. Vendor Managed Inventory Model for Supply Chain Cost Reductions. Reverse marketing starts first with Value Analysis. Complete one-on-one meetings.

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Companies Improve their Supply Chains with Artificial Intelligence

Logistics Viewpoints

Lead times, for example, are a critical form of master data for planning purposes. In process industries the supply chain models used for optimization are much more complex than those used in other industries. The processing units in an oil refinery, for example, operate at high temperature and high pressure.

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Omnichannel Retail and the Cost to Serve Online Customers

Logistics Bureau

For example: Compared to selling a product in-store, the cost to deliver that same item as a small parcel can be several times higher. The above examples reflect costs that include picking, packing, and last-mile delivery. The list above is not exhaustive but merely provides some notable examples of cost drivers.