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Maximizing retail sales & margins? Dive into strategic merchandise assortment planning with #HIVERYCurate. Leverage AI for hyper-local insights, simulate scenarios, & make data-driven decisions. The future of retail is here. #RetailInnovation #ProfitGrowth

How can retailers increase sales and profit margins through merchandise assortment planning?

Once the realm of large food conglomerates, supermarket shelves are now opening up to small, independent brands like never before. The catalyst behind this shift? A deep dive into shopper behaviors and transaction data.

Why are niche brands in supermarkets receiving more shelf space?

HIVERY's Curate 1.0 is a revolutionary AI-powered SaaS platform for advanced assortment and planogram generation. It simplifies retail strategy, offering dynamic planograms, predictive KPIs, and advanced simulations for effective portfolio optimization. This platform is a significant leap in retail and CPG brand strategy, enabling businesses to access powerful AI models for maximum revenue opportunities. Test drive Curate 1.0 today at hivery.com/testdrive.

HIVERY Curate 1.0 is Democratizing AI for Brands & Retailers

Retail and CPG professionals must make strategic decisions about product assortment and space, considering multiple variables. One solution is to use machine learning. In this blog, we'll explore this approach.

How Machine Learning Transforms Assortment Optimization Approaches

"Retail space is vital for customer engagement and sales. Effective space planning significantly influences shopper behavior, enhances brand presence, and optimizes product performance. By optimizing assortments at a granular level, we can make an impact at the macro level." —VP of Category Management, American Multinational Food Manufacturing Company.

Retail Space Optimization: Strategies for Successful Space Planning

revolutionizing several industries. One such field that AI is transforming is category management. In this article, we will explore the marvelous ways in which AI is reshaping category management and helping businesses stay ahead of the competition.

10 Marvellous Ways Artificial Intelligence is Revolutionizing Category Management

Unlocking consumer preferences in pack size & product assortment is key in retail. 🛒 Leveraging advanced data analytics like HIVERY Curate reveals what customers truly want, ensuring brands stay ahead in a dynamic market. 

#RetailAnalytics #ConsumerBehavior #DataDrivenDecisions #RetailAnalytics #Assortment #categorymanagament #PackSize

Leveraging Store-level Data Insights to Decode Consumer Preferences in Pack Size and Product Assortment

Data is more than just numbers in retail – it's the lifeblood of strategic decision-making. That's where HIVERY and our flagship SaaS platform, HIVERY Curate, come in, transforming this rich data into actionable, dynamic decisions.

Here are seven (7) reasons why HIVERY and HIVERY Curate are not just different but game-changers in the retail industry.

Mastering the Retail Balancing Act: Discover how leading retailers effectively allocate space between innovative products & core offerings. Insights from our customers reveal the power of data-driven decisions & the need for dynamic assortment planning

Balancing Innovation and Core Offerings in Retail Space Allocation: 7 Lessons from the Frontline

Discover how HIVERY Curate transforms assortment planning into an engaging, interactive, and insightful experience, much like playing with Lego bricks. This powerful retail analytics tool enables retailers and manufacturers to optimize store-level assortments, align strategies with local market needs, and predict the impact of assortment changes. Dive into the world of retail success with HIVERY Curate, where data-driven decision-making meets fun and creativity.

Making Assortment Planning Engaging, Interactive, and Insightful with HIVERY Curate: Lego for Retail Success

With advanced data science methods such as Artificial intelligence (AI) and machine learning along with novel mathematical approaches in Operations research, we now have the ability to scale and augment human judgment.  With HIVERY Curate, we can move from heavy data analysis and guesstimating, to a highly accurate and hyper localized recommendations.  By discovering the fingerprint of each store, this enables brand marketers to achieve that Perfect Shelf.  

In this paper you will learn about three use cases of how AI can help product brand and category professional drive new incremental revenue through being store specific.

The secret to building your product brand is being store specific

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If you get the fundamentals right, everything else often falls into place. And in retail analytics, there are a number of fundamentals to grasp.

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The secret to building your product brand is being store specific

The perfect shelf is a fingerprint

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