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The Smart Report - Get the latest insights on the global AI in retail research study

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Replenishment Optimization: A Fresh Opportunity

Machine learning can reduce out-of-stock rates by 80%

To find out how, book a meeting with our leadership team at this year’s NRF.

On the 15-17th January 2017, retails greatest minds will once again be meeting in New York at the NRF.
Blue Yonder is delighted to be part of this annual event and has placed the focus of our attendance on providing attendees with dedicated meeting times.

Our pricing and replenishment solutions are driven by proprietary machine learning algorithms, developed by one of the largest teams of PhD-level data scientists in retail.

Blue Yonder experts will be on hand at booth #816 to answer any questions you may have. If you would like to explore this in more detail, and benefit from a relevant in depth case study we are also currently booking meetings - please fill in the form below. We will endeavour to book this in within 48 hours of your request.

We look forward to meeting you soon.

The Blue Yonder Team

Register your interest in meeting with the Blue Yonder team


Replenishment Optimization at Kaiser's Tengelmann

"Out of stock goes to zero and the forecasts are very good": Mark Michaelis , Head of Retail Systems and Services at Kaiser's Tengelmann, about Predictive Applications in retail.

Case Study

Blue Yonder’s AI technology dramatically improves demand planning at Morrisons

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McKinsey: The secret to smarter fresh-food replenishment? Machine learning

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