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Cost to Serve Analysis—And the Costs of Neglecting It

Logistics Bureau

Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.

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IoT in Logistics “The Maersk Case Study”

Logistics at MPEPS at UPV

According to the article “ How IoT can improve the logistic pro ces s ” the internet of things (IoT) provides data, which describes objects “physical assets” for example a good to be transported and distributed worldwide. Security : IoT offers security for both the company and the customer.

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Maximize Ecommerce Supplier Relationships

Ship Monk

Of course, it wouldn’t be a business strategy if there weren’t a couple more acronyms to learn. SRM is more than a one-and-done analysis. For example, evaluate processes including invoicing, payment, tech integrations, communications, timely approvals, and customer service responses. If so, good on you!

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6 Critical Success Factors in Distribution Network Design

Logistics Bureau

Quality and Detail of Data and its Analysis In some of our earlier posts, we’ve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It’s not a short list, so we’ll set it down here as a summary to help you with plans for analysis.

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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.

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Demand Forecasting: How It Enhances Ecommerce Operations

Ship Monk

Accurate data forecasting requires accurate data, robust data analysis tools, and people who understand how to use them. Of course, the more data you need and the more sophisticated your methods are, the more expensive demand forecasting becomes. The amount of data available usually depends on the maturity of the product.

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Companies Improve their Supply Chains with Artificial Intelligence

Logistics Viewpoints

In the course of updating our annual research on the supply chain planning market , I talked to executives across the industry. Lead times, for example, are a critical form of master data for planning purposes. The processing units in an oil refinery, for example, operate at high temperature and high pressure.