10x ROI & streamline reset process by 80%
Let's explore how AI is changing category management, generating store-level "snowflake" assortment & space recommendations - in minutes, not months!
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 client's 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: Science of retail optimization & methods we use
Mark Lawrenson has graduated with honours in mathematical applications and was previously a researcher at CSIRO/Data61. In this podcast he explains the science of optimization methods; the science of finding the best alternatives from many alternatives and impact to retail.
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
Heather Martin, Vice President of Sales
With a background in big data analytics and shopper and category insights by way of InfoScout (now Numerator), my customers have consistently asked for two things throughout my career: fast & actionable insights at the most granular level possible. I joined Hivery because I love helping my customers use data to answer big questions in simple ways, and at Hivery we do this at the most granular level - by store and UPC. HIVERY is democratizing the power of predictive and prescriptive AI to put it in the hands of your category management professionals and brand teams; let's schedule time to chat about your initiatives and whether HIVERY can help!