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Aim to reduce overstocking by 50%
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Synchronize inventory with marketing
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Replenish fast-sellers efficiently
Both Melinda Maria and Chan Luu aimed to leverage data analytics to align their inventory management with real market demand and optimize marketing strategies. Their goal was to reduce overstocking, increase efficient product restocking, and improve overall revenue. This involved utilizing AI-driven insights to identify low-performing SKUs for markdowns, replenishing fast-selling items promptly, and ensuring that marketing investments were not wasted on products that were not in high demand. By synchronizing inventory data with marketing efforts, the companies intended to ensure a harmonious approach that maximized both stock efficiency and sales performance.