Navigating retail negotiations and assortment planning can be complex, but AI-powered tools like HIVERY Curate simplify the process. With real-time strategy simulation, you can analyze the financial impact of decisions and defend your position with transparency. By leveraging store-level data, HIVERY Curate helps fine-tune assortment-space strategies to align with shopper preferences, increasing confidence in your plans and achieving mutual alignment quickly. It's time to break down traditional barriers and adopt a data-driven approach for a retail space that delights shoppers and boosts performance.

Want to understand your customers' behavior and make informed decisions about your product assortment? Check out HIVERY's Demand Transfer Model! This cutting-edge technology uses data analysis techniques and machine learning algorithms to identify shopper behavior patterns and comparable group products into categories based on their competition for sales. Learn how to optimize your sales strategy and unlock the secrets of latent shoppers with HIVERY's Demand Transfer Model.

Optimize Your Shelves for Maximum Sales: Achieving the Perfect Assortment Space Contribution Index. The Space Contribution Index is a key metric in the field of assortment planning and optimization. It is used to measure the proportion of linear shelf space a product occupies relative to its sales performance. Getting this right and fine-tuned to each category at each store is a tough task. It also can take some effort to get right with the accuracy and speed to respond to shopper trends and retailer requirements.

How AI-enabled rapid decision-making can help optimize retail clusters, planograms, and assortments and reforming resets. 

AI technology can help optimize your assortment planning and inventory management. Discover how AI can help identify customer preferences, predict demand, and suggest successful products. Learn how to respond to trends and reduce the risk of understocking or overstocking with AI-driven assortment planning software like HIVERY.

A McKinsey & Company study shows that retailers using assortment optimization can boost sales by up to 20% and reduce out-of-stock items by 10%. Retailers balance planograms and inventory to avoid sacrificing profit, but the real cost is not knowing the financial impact.

SKU rationalization removes or consolidates "stock-keeping units" (SKUs) from the supply chain. The challenge here is that many different variables, datasets, and constraints make this task very complex and time-consuming. This is how AI can accelerate the benefits of SKU rationalization.

How AI will enable rapid decision-making in a highly volatile and complex world through demand sensing.

Merchandise planning is crucial for running a successful business, but it can be time-consuming and complex. The good news is that AI can help automate the process and provide data-driven insights