Use Cases For HIVERY Curate
HIVERY Curate provides fast store-level data insights and simulations to accelerate your retail strategy.
As your AI co-pilot, HIVERY Curate accelerates your time to value by providing rapid store-level data insight, strategy quantification, and optimization.
Explore use cases below, or discover features and benefits of HIVERY Curate.
Select your role type:

Category Management
Building Strong Retailer Relationships and Efficient Planning Strategies
As a category captain, an adviser, or someone leading your company's category development, you face significant challenges. You have to manage multiple categories, subcategories, and stores. You need to comprehend the impact of promotions and pricing, manage inventory, and ensure optimized space allocation. Besides, you must establish and maintain relationships with retailers and other internal teams. You also need to assess industry trends, conduct thorough category and brand performance analyses, and identify opportunities that inform joint business planning (JBP), Product Line Reviews (PLR), and other strategic planning processes.
These are a lot of variables to consider.
Use Cases
These are some of our most popular use cases:
New Item Performance Analysis: How HIVERY Curate Guides Your Decision.
Clustering Strategy: How AI-powered HIVERY Curate Can Help
Optimizing Days of Supply with HIVERY Curate: A Closer Look at Standard Deviation Reduction
6 Use Cases for Scenario Analysis & Effective Assortment Planning
Consumer & Shopper Insights
Leveraging Data to Drive Growth and Improve Shopper Experiences
Consumer & Shopper Insights professionals need to make data-driven decisions that can improve shopper experiences, drive revenue growth, and maximize efficiency and profitability. You focus on helping your sales and category teams understand hidden trends and insight shoppers and how they impact clustering, new item performance, assortment price pack architecture, and SKU rationalization optimization.
Use Cases
These are some of our most popular use cases:
Bridging the "Say-Do" Gap in Retail: How AI Transforms Decision-Making
Revenue Growth Management
Maximizing Revenue and Profitability through Strategic Data Analysis
Revenue Growth Management (RGM) is a business strategy that optimizes revenue growth by managing pricing, promotions, and product assortment. RGM is widely used by businesses to enhance overall revenue. It helps businesses optimize pricing strategies and promotions by analyzing customer behavior, market trends, and competitor pricing. RGM also helps businesses determine which products to stock and how much of each product to stock. By providing valuable insights into customer behavior, market trends, and competitor pricing, RGM helps businesses maximize revenue and profitability.
Sales and Sales Management
Juggling between SKU innovation and rationalization
Sales leaders and sales account executives must balance SKU innovation and rationalization, which requires a strategic approach, data analysis, and collaboration with retail buyers.
Use Cases
These are some of our most popular use cases:
Cluster Analysis: Retail Success Through AI-Driven Assortment Strategies
Sales Leader's Guide to Retailer-Centric Success
Efficiency and Profitability: How HIVERY Curate Optimizes SKU Rationalization
Leveraging HIVERY Curate for New Product Innovation with Precision and Impact
Contact HIVERY today
Explore HIVERY's advanced retail analytics, machine learning solutions, and retail optimization with our demos and case studies. Contact us today to schedule an online walkthrough and let's start a conversation.