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Supply Chain Management:The Upcoming 2011 Holiday Buying.

Infosys Supply Chain Management

Logistics and Distribution. Cloud & Big Data. Distribution. Main | Demand Planning in CPG industry - Practising the Best Practices » The Upcoming 2011 Holiday Buying Season will again Test Retailer MCO and Supply Chain Capabilities. What therefore should retailers expect in the upcoming 2011 season?

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Inventory Management Excellence: Some Companies to Learn From

Logistics Bureau

It’s a random approach in which, for example, a consignment of electric blenders might find a home in a storage location between bottles of shampoo on one side, and dog collars on the other. As you can deduce from Amazon’s example, there is no standard for an optimal warehouse layout.

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Supply Chain Management:Dynamic Pricing : Is it really worthy

Infosys Supply Chain Management

Logistics and Distribution. Cloud & Big Data. Distribution. For example, a hotel might charge couple of hundred rupees more if the booking is for a weekend. One more disadvantage of dynamic pricing is that the decisions have to be taken so fast that the data to drive the decision may not always be accurate.

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Supply Chain Management:Maintenance Practice- A standard to be.

Infosys Supply Chain Management

Logistics and Distribution. Cloud & Big Data. Distribution. For example, preventive maintenance are either time based or meter based and it appears that it has got nothing to do with equipment dynamics in itself. December 2011. November 2011. October 2011. September 2011. August 2011.

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How to get more from an EAM Implementation - Infosys Blogs

Infosys Supply Chain Management

Logistics and Distribution. Cloud & Big Data. Distribution. One such reason was lack of quality data in the EAM systems. Also, very often, I see clients mentioning about data cleansing, data enrichment and master data management issues in their existing EAM applications. Communication Services.

Blog 24
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Use of Predictive Analytics in Supply Chain - Infosys Blogs

Infosys Supply Chain Management

Logistics and Distribution. Cloud & Big Data. Distribution. For example, predictive technology can help determine the number of customers that would come to a coffee store based on the current temperature. This can be arrived at through data collected in the past where similar temperatures were recorded.

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Safety in Work and Asset Management- Part I - Infosys Blogs

Infosys Supply Chain Management

Logistics and Distribution. Cloud & Big Data. Distribution. Lets consider an example of a work requiring safety and work management team to work in tandem and discuss on bringing in the coordination part in the important areas of safety. December 2011. November 2011. October 2011. September 2011.

Blog 27