AI-Driven Inventory Optimization for Cosmetics Retailers and Brands

Cosmetics retailers and brands face rapid product lifecycles, seasonal shade shifts, and unpredictable local trends, making a critical issue with overstock; inventory languishing on shelves, tying up capital and requiring costly markdowns. 

Overstocks are impacting financial resources and ability for retailers and brands to refresh their offerings and meet market demands. 

Dead stock doesn't just appear overnight; it's often the culmination of various missteps in the retail lifecycle. Understanding these root causes is the first step towards prevention. Dead stock could come from:

• Inaccurate Sales Forecasting

• High Minimum Order Quantities (MOQs)

• Overly broad “Marketing” assortment

• Optimistic merchandising decision

• Shift in consumer preferences

• Ineffective promotional strategies

A way to prevent dead stock is to redistribute inventory across the stores with store-to-store transferts, which bypasses the need for margin-killing discounts. By leveraging real-time data to economically transfer unsold cosmetics directly from low-demand stores to stores experiencing stockouts. The potential benefits of solving this problem are transformative for both the top line and the bottom line. 

Brands like Douglas have used this approach to eliminate 75% of dead stock and reduce working capital requirements by 12%. For more information please visit the Douglas Case Study.

Similarly, L'Occitane cut Excess & Obsolete (E&O) provisions by 50%, decreased store inventory value by 26%, and boosted incremental sales by 3%. For more information please visit the L’Occitane Case Study.

Ultimately, this strategy allows cosmetics retailers to sell previously stagnant items at full standard pricing, rather than marking them down, by leveraging AI-Driven Inventory Optimization.

For more information please visit YDISTRI.