Use Cases

Space Optimization Strategies: How AI-Driven Analytics Can Help

September 07, 2023 | By HIVERY

In the fast-paced world of retail, optimizing shelf space is akin to uncovering hidden treasure. Every square inch of retail space should contribute to sales and profitability, and this is where AI, specifically HIVERY Curate, steps in as your trusted partner. In this deep-dive exploration, we'll take you on a journey through the innovative world of space optimization strategies with HIVERY Curate.

Unlocking the Power of Data

Effective space optimization requires understanding data and merchandise constraints, such as fixtures. HIVERY Curate is an expert at leveraging this information. By comprehending the impact of store-level fixtures and merchandising styles on sales and demand, retailers can avoid out-of-stock problems and accurately interpret demand data. Fixtures, including bunkers, capping, peg bars, gondolas, and merchandising styles (e.g., trays, cases, capping, nesting), are critical in assortment planning and optimization. However, the situation becomes more complex when considering store clusters, store-level operations, and churn requirements. Retailers and CPG manufacturers can make data-driven decisions that maximize space efficiency by utilizing machine learning models, applied mathematics techniques, and store-level data. With HIVERY Curate, your space optimization strategies are informed by robust insights, eliminating trial-and-error.

DOS Modeling: The Key to Precision

One of the cornerstones of space optimization is Days of Supply (DOS) modeling. HIVERY Curate takes this to the next level by helping you understand the optimal balance between stock levels and shelf space. We'll delve into how DOS modeling works and how it can fine-tune your inventory management, reducing waste and ensuring products are always available when your customers need them.

Packout Modeling: Putting Products in the Right Place

The placement of products on the shelf can make or break a sale. With HIVERY Curate's packout modeling capabilities, we'll explore how to position products to maximize visibility and sales potential strategically. You'll discover the art and science behind effective packout strategies and how it influence shopper behavior.

Reducing Complexity with Pack Size Modeling

Pack size matters, and HIVERY Curate understands this implicitly. We'll show you how pack size modeling simplifies decision-making, helping you determine the optimal pack sizes for different products and market segments. This data-driven approach ensures you're meeting customer demand, minimizing waste, and increasing profitability.

Singles vs. Trays: A Tactical Approach

Regarding product presentation, singles vs. trays can significantly impact your sales. We'll delve into how HIVERY Curate's insights help you decide when to use singles, trays, or a combination. The goal is to drive sales and enhance the customer shopping experience by making informed decisions.

Are Multiple Sizes of the Same Product Needed?

Variety can be a double-edged sword. While offering multiple sizes of the same product can cater to different customer preferences, it can also lead to unnecessary complexity. We'll explore how HIVERY Curate aids in making the right choices regarding product sizes, ensuring you strike the perfect balance between variety and simplicity.

Growth in Consideration of Shelf Physical Constraints

In the ever-evolving world of retail, physical constraints can be a challenge. HIVERY Curate doesn't just optimize for space; it optimizes within the constraints of your shelves. Space optimization is no longer a guessing game; it's a precision science, and HIVERY Curate is your compass in this retail journey. Learn how using AI-driven analytics solutions like HIVERY Curate can unlock the full potential of your retail space, driving sales, increasing efficiency, and ensuring your customers always find what they need. We.

Related resources you might be interested in:

Subscribe to HIVERY updates