10x ROI & streamline your reset process by 80%

Let's explore how AI is changing category management, generating store-level "snowflake" assortment & space recommendations - in minutes, not months!

HIVERY Curate

The world’s first truly hyper-local category management solution

HIVERY Curate is a 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 hours. No more dreaded relay process and rapid category scenario planning.

The planograms generated by HIVERY Curate are all space-assortment aware and can incorporate your own unique business rules and constraints.

Augmenting your decisions instantly.

Lead category management transformation

With HIVERY Curate, its simple: Your data + Our AI = True store-level assortment & space recommendations

Industry research and insight

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.

Gartner Research: Emerging trends in retail and how artificial intelligence is accelerating this

Retail CIOs can leverage artificial intelligence to capture deeper insights, anticipate customer needs and proactively deliver across every touchpoint.

Future of Category Management: New capabilities needed to remain indispensable

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: The Supermarket Guru® on trends & changes in supermarket

Phil Lempert, also known as the Supermarket Guru, is an expert analyst on consumer behavior and the changing retail landscape for more than 25 years, shares his thoughts. 

Podcast: Shifts in category management and how AI is being used and more

Among other topics, Zach explores the "snowflake" effect of product categories and space; how each store is so different (as a snowflake), yet when it comes to space assortment, the retail industry continues treating each store and their SKU supply the same.

Podcast: Why food retailers need to embrace AI

Why Food Retailers Need To Embrace AI? In this Lost in the Supermarket episode, Phil Lempert talks with Jason Hosking, CEO & Co-Founder of HIVERY, The worlds first category management optimization solution.

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Novel approach to transferable demand

We have been at the leading edge of category management technology for few years now. 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.

Discussion & demo

Scott Anderson

Scott Anderson

Chief Revenue Officer

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Graduated from University of Tennessee-Knoxville with a Bachelor of Business Administration in Logistics and Transportation, as well as completing a food executive program at Cornell; before joining HIVERY I spent 20+ years working with some of the world's greatest companies including 6 years with The Campbell Soup Company as Director of Supply Chain for Walmart and National Accounts and 10 years with Kimberly-Clark in a variety of supply chain roles across the country. I soon realise the power of data and joined several smart retail analytical companies like Retail Solutions and InfoScout, so I understand the importance of making smart business decisions by leveraging data in new ways. What HIVERY has done is different. They are pioneering hyper-local retailing and I would love to show you how and why.

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