In this  Retail Maverick Shorts episode, we delve into assortment management and the impact of deletions and additions to your product lineup. Discover how HIVERY Curate's advanced AI-driven insights empower retailers to make informed decisions, optimize their assortment, and enhance customer satisfaction.  Key learnings include predictive analysis, risk mitigation, customer-centric approaches, and leveraging data-driven recommendations for strategic category management.

Podcast - How does AI help with assortment deletions and additions?

HIVERY Curate is a robust platform that leverages AI-driven analytics to optimize retail assortment strategies. It provides data-driven recommendations, store-level insights, and scenario planning capabilities to help businesses make informed decisions in the ever-changing retail landscape.  Learn how it works.

In the dynamic world of retail, every inch of shelf space counts. Retailers and manufacturers constantly seek ways to optimize their shelves for maximum efficiency and profitability.

Shelf Efficiency: AI-Driven DOS modeling with HIVERY Curate

The success of any consumer packaged goods (CPG) manufacturer or retailer hinges on the ability to make data-driven decisions that cater to specific store needs. This is where HIVERY Curate offers a unique value proposition that unlocks store-specific insights like never before.

Unlocking Store-Specific Insights With HIVERY Curate

In the ever-evolving world of retail, making decisions about which products to keep, remove, or introduce to your assortment is a critical part of category management. These decisions can profoundly impact your bottom line, customer satisfaction, and overall store efficiency. In this use case, we'll delve into the world of assortment planning, specifically focusing on the crucial aspects of deletions and additions and how HIVERY Curate provides invaluable insights to help you confidently navigate these choices

Assortment Deletions and Additions: How HIVERY Curate Can Help

In the ever-changing retail environment, sales, category management, and shopper insights professionals continuously seek avenues to refine strategies and enhance in-store and online customer experiences. Analyzing store-level data can yield online and offline retail insights, informing omnichannel assortment strategies that resonate with individual stores and local shopping behavior.

Omnichannel Assortment Optimization - Understanding Retail through Online and Offline Synergies

HIVERY is honored to announce its selection as a finalist in the prestigious Premier's NSW Export Awards 2023, marking our 5th consecutive nomination. This nomination symbolizes our commitment to excellence and innovation in international trade.

HIVERY Named as a Finalist in the Premier’s NSW Export Awards 2023 for 5th year running.

In a retail landscape where every inch of shelf space matters, addressing over-assorted sub-categories is crucial for success. HIVERY Curate offers a clear path to efficient assortment planning and optimization.

Over-Assorted Sub-Categories? HIVERY Curate Offers Solutions

Remaining attuned to customer preferences is paramount. While product trends like plant-based products sweep the market, effectively incorporating them into your assortment strategy requires more than just following the hype. Let's delve into a real-world use case involving HIVERY Curate, shedding light on the power of data-driven decisions to validate strategies and shed new insights that would rarely be considered.

Data-Driven Hypothesis Testing: Optimizing Plant-Based Assortments in Retail

HIVERY Curate holds the answers to these questions. By combining advanced AI algorithms and store-level data analysis, HIVERY Curate demystifies the intricacies of category growth. It provides insights that were once elusive, enabling retailers to make informed decisions with confidence.

Category Growth Strategies Through Better Strategic Questions 

Robert, AI is changing category management

Drive new incremental profits at store-level for each of your household SKUs in minutes, not months

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

HIVERY Curate (Laundry) -  AI Category Management Solution with powerful rapid category scenario planning

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

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

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? 

New category management capabilities required to remain indispensable to your shoppers

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

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

Church & Dwight_Product_Flyer_Curate_FNL.pdf

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. 

Product information

Since it launched in 2015, we have been at the leading edge of category management technology. We help some of the world’s biggest consumer package goods manufacturers and retailers 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.

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Heather Martin, Vice President of Sales 
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Please select a time with Heather Martin, Vice President of Sales at HIVERY North America, to see a live demo, answer any questions.

Church & Dwight - Robert Steed - HIVERY Curate & AI-driven category management

Taking this opportunity to explain HIVERY Curate and what it can do in retail

Robert, AI is changing category management

Drive new incremental profits at store-level for each of your household SKUs in minutes, not months

Industry research and insights

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

New category management capabilities required to remain indispensable to your shoppers

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

HIVERY Curate for Church & Dwight

Novel approach to transferable demand

Me, Church & Dwight & AI - Lets chat

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