The secret to building your product brand is being store specific
With advanced data science methods such as Artificial intelligence (AI) and machine learning along with novel mathematical approaches in Operations research, we now have the ability to scale and augment human judgment. With HIVERY Curate, we can move from heavy data analysis and guesstimating, to a highly accurate and hyper localized recommendations. By discovering the fingerprint of each store, this enables brand marketers to achieve that Perfect Shelf.
In this paper you will learn about three use cases of how AI can help product brand and category professional drive new incremental revenue through being store specific.
The perfect shelf is a fingerprint
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If you get the fundamentals right, everything else often falls into place. And in retail analytics, there are a number of fundamentals to grasp.
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