Скачать или смотреть Are Current Assortment Optimization Methods Store Sacrificing?

Retailers balance planograms and inventory to avoid sacrificing profit, but the real cost is not knowing the financial impact.

Retailers are constantly striving to find and maintain the best selection of products to sell in their stores, which is a crucial part of their business. However, with a growing number of options, limited shelf space, store and neighborhood differences, and supply chain challenges, especially during the post-COVID-19 bullwhip effect, retailers face increased pressure to make the right choices.

With the rise of omnichannel, supermarket chains and retailers must ensure they have the right products in stock to meet customer demands and stand out from the competition. One solution to this problem is assortment optimization. According to a study by McKinsey & Company, retailers that use assortment optimization can see up to a 20% increase in sales and a 10% reduction in out-of-stock items. Additionally, it can lead to more efficient use of shelf space, allowing retailers to showcase more products and increase customer engagement.

Assortment optimization is a data-driven process that helps retailers make informed decisions about the products they carry in their stores. With the traditional method, the process of assortment optimization can be very complicated, time-consuming, and lacking real-world implications.