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Using Predictive Analytics For Better Supply Chain Resilience

Blue Grace Logistics

Simple Examples of Predictive Analytics. Amazon shopping is a clear example of how your historical shopping trends are churned to predict what you would require in the future. Many such tools are tailored to meet the needs of specific enterprises. Check out our July Webinar! Predictive analytics is used in every industry.

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Bekaert Corporation: Dock Scheduling improves logistics planning

Transporeon

Some are limited on staff and have to bring in support to meet certain volumes per day since our shipping schedule is very volatile throughout the week and month, so if they know ahead of time—and they would by looking at the dock schedule—they can clearly plan for that. facilities. How has it impacted your customers?

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20 Manufacturers Describe ERP Software Benefits in their Own Words

GlobalTranz

For example, we’re looking at one set of numbers – one version of truth. Donnie Steward, Chief Information Officer at ACH Foods , on using SAP at their food manufacturing company. The capacity planning screen is a good visual tool to help better planning and scheduling, and obviously meet the customer needs at the same time.

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[INFOGRAPHIC] 5 More Supply Chain Trends To Watch Out for in 2016

GlobalTranz

Most of them center around reducing costs (if you’re using SAP or Oracle, you know SCM can be extremely costly), efficiency (apply same methodologies, processes and tools across different vendors), and scalability (whether you’re working with 5 or 500 factories, being able to manage quality and cost is critical).

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This Week in Logistics News (September 24-28, 2018)

Talking Logistics

Adobe, Microsoft and SAP announce the Open Data Initiative to empower a new generation of customer experiences. Back in June, I wrote about how companies are transforming their physical supply chain networks to adequately meet the more demanding challenges of this new market where speed of delivery and inventory reduction are paramount.