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The 411 on Social Proof

Ship Monk

Take us, for example. Social proof can come from all sorts of places, but the below examples have proven to be some of the most effective. Customer Testimonials & Case Studies. User reviews provide plenty of value, but more complicated operations can greatly benefit from customer testimonials and case studies.

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Kinaxis Kinexions ’22: Ready. Together.

Logistics Viewpoints

This was my first in-person event in over two years, and it did not disappoint. You could feel the energy in the air as 450+ people seemed to really enjoy being back at an in-person event. This includes weather events, port strikes, capacity shortages, and unexpected demand spikes. The releases of Planning.AI

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Digital Transformation Journey in Supply Chain Planning

Logistics Viewpoints

Maintaining all past and future promotional events in a database. Maintaining outlier events that have influenced demand patterns or supply availability . Modeling the impact of weather events. Automatic identifying and removing outlier events from the historical data. Having accurate stock-out data. and Europe.

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Highlights from Gartner’s Supply Chain Executive Conference 2015

AIMMS

The theme of the event was “ The Art of Supply Chain: Creative Solutions for the Next Generation.” In almost every way this is a large and very professionally run conference with over 1500 attendees, everything you would expect from a Gartner event. A compelling case for Supply Chain Analytics. Logistics’ next frontier.

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What is the Biggest Blind Spot in Your Supply Chain?

Talking Logistics

A lot of data/information is communicated in batch and serial mode, sometimes hours or days after a transaction or event occurs. Take BMW as the latest example. What is happening to BMW today is another case study in supply chain risk management. At 9:05am today, an earthquake of magnitude 7.0 struck Vietnam.

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Blue Yonder ICON: Preparing for a New Tomorrow

Logistics Viewpoints

For example, trading partners can give read-access to each other to access data on the data cloud. Predictive AI is focused on analyzing data and making predictions about future events, and generative AI is focused on creating new content based on existing data.

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Case Study: Cloud-based WMS Works for Media Provider

Logistics Business Magazine

But in the event, thanks to their preparation, Intermedia needed very little training and almost no handholding at go-live, other than occasional reference to the ProSKU helpdesk. He cites this as one example of how they have matched their processes to suit the system, and as a result, those processes have been improved.