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 

Whitepapers

At HIVERY, we love sharing our knowledge with our readers. View our range of reports.

At HIVERY, we love sharing our knowledge with our readers. View our range of reports on assortment strategy and category planning

Whitepapers offered by HIVERY

Want to understand your customers' behavior and make informed decisions about your product assortment? Check out HIVERY's Demand Transfer Model! This cutting-edge technology uses data analysis techniques and machine learning algorithms to identify shopper behavior patterns and comparable group products into categories based on their competition for sales. Learn how to optimize your sales strategy and unlock the secrets of latent shoppers with HIVERY's Demand Transfer Model.

Unlocking the Secrets of Latent Shoppers: HIVERY's Demand Transfer Model Explained

At HIVERY, we love sharing our knowledge with our readers.

Resources

At Hivery, we love sharing our knowledge with our readers.

Whitepapers

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