Whole Foods, AI is changing category management. Let me explain...

Determine which Whole Foods markets should carry what specific category SKUs. Drive new incremental profits at store-level all in minutes, not months
Product information

HIVERY Curate for Whole Foods

HIVERY Curate is a retail category management tool that leverages artificial intelligence and operations research techniques to optimize shelf space and assortments – reducing the time involved in category relays from months to minutes.

HIVERY Curate incorporates your own unique business rules and constraints.

Augmenting your decisions instantly.

How HIVERY Curate thinks about category management

The world’s first truly hyper-local category management solution, offering the simultaneous optimization of assortment and space at store-specific level and rapid scenario planning. For the first time you can, either at a national and or store-specific level, generate rapid category scenarios while factoring the impact of events like transferable demand and merchandising constraints

Industry research and insights

Forrester Research: AI In retail needs to start at the backend with smart automation

According to Forrester Research, retailers & CPGs should focus on backend operations and augment decision making with smart analytics to frequently asked questions.

New capabilities required to remain indispensable to your shopper

We often hear that the future of Consumer Packaged Goods and retail sectors begins with Artificial Intelligence (AI), but how exactly can AI shift category management?

Podcast: Phil Lempert - The Supermarket Guru® on trends & changes in supermarket

Phil Lempert, an expert analyst on consumer behavior and the changing retail landscape for more than 25 years, shares his thoughts. 

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Novel approach to transferable demand

Since it launched in 2015, we have been at the leading edge of category management technology. We help some of the world’s biggest manufacturers predict how shopper demand will transfer when products are added to or deleted from a store’s shelf. The key is deciphering a store’s unique purchase behavior. 

Borrowing ideas from deep learning method, HIVERY is able to generate data from random noise (i.e. random numbers) to infer incrementality and demand transferability. It's the world’s first AI driven cannibalization model, and it drives Hivery's assortment recommendations.

Me, Whole Foods & AI

David Buckley, Vice President of Retail
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Please select a time with David Buckley, Vice President of Retail at HIVERY North America, to see a live demo or answer any questions.

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