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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

This Retail Maverick Shorts podcast episode focuses on Product Line Reviews (PLRs) and the role of AI, particularly HIVERY Curate, in overcoming common challenges. 

PLRs, crucial for retailer-supplier collaboration, often suffer from transparency gaps, resource limitations for small suppliers, alignment dilemmas, and withheld information. 

AI solutions like HIVERY Curate serve as a solution by using data to foster transparency, enabling real-time simulation of shopper strategies and outcomes. It aids small suppliers by understanding shoppers and highlighting products effectively. Acting as a retail GPS, it guides alignment by suggesting growth paths based on data-backed insights. With AI's assistance, collaborative scenario planning becomes possible, driving informed decisions. 

The podcast highlights the transition towards data-driven solutions, where AI tools like HIVERY Curate initiate productive discussions, benefiting retailers, vendors, and shoppers alike.

Podcast - Common Pitfalls in Product Line Reviews (PLR) and How AI can help

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Navigating Common Pitfalls in Product Line Reviews (PLR): A Guide to Success with HIVERY Curate

Breaking the Doom Loop: Leveraging AI to Transform Data Abundance into Actionable Insights for Retail Assortment Decisions

Discovering 'Sleeper Stores': How AI is Redefining Retail Insights and Shaping Buying Behaviors

HIVERY's AI uncovers latent shopper insights & gains industry recognition

This Retail Maverick Shorts podcast episode focuses on Product Line Reviews (PLRs) and the role of AI, particularly HIVERY Curate, in overcoming common challenges.

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

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

Podcast - Common Pitfalls in Product Line Reviews (PLR) and How AI can help

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