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.

"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.

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.

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

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

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.

The shift from a sales-centric to a gross margin-focused approach in retail space optimization represents a significant advancement in retail strategy. By leveraging the power of AI and analytics tools like HIVERY Curate, retailers, and CPG companies can navigate this shift effectively, ensuring that each square foot of shelf space generates sales and, more importantly, drives profitability. This transition is not just about adapting to a new metric; it's about embracing a more sophisticated, data-driven approach to retail success in the 21st century.

The evolution of planogram efficiency reflects a broader trend in the retail industry: the need to adapt to a dynamic landscape where consumer preferences, technological advancements, and market conditions are in constant flux. Further, the process of planogram creation, even when hyper-local, can be inefficient and costly. Teams often develop 'averages of averages' approaches and strategies, including larger cluster sizes, exacerbating the challenge and leading to overstocking in some stores and understocking in others. In this article, we'll explore the recent developments in planogram efficiency and how retailers can stay ahead in this changing environment.