Case Study: Melinda Maria reduces inventory overstock and frees up cash with Conative AI

Within 9 months, Melinda Maria reduced inventory overstock costs by 50% - freeing up cash to stock faster-selling products

Melinda Maria, a fast-growing Los Angeles jewelry brand, faced significant challenges with inventory planning due to the trend-driven nature of its business. Using manual, annual Excel forecasts, the company struggled with accuracy, resulting in best-selling products being out of stock 30% of the year and cash being tied up in overstocked items. To address this, they turned to Conative AI for a solution.

Conative AI implemented a real-time inventory forecasting system for Melinda Maria. This solution enabled the brand to make quicker, more accurate inventory decisions, leading to a 50% reduction in overstock costs and a 64% reduction in overall SKUs. Revenue from replenished products grew to 79% of total revenue, and the identification of potential best-sellers increased revenue-by-product by up to 4x in the first month.

Melinda Maria