Key Inventory Challenges:

• Broken size sets (e.g., L and XL sold out, S and M overstocked)
• Seasonal demand spikes and dips
• Wide assortment planning across styles and drops

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How EasyReplenish Helps:

• Tracks size-level sell-through to avoid cut sizes and broken inventory
• Adjusts stock recommendations dynamically for seasonal events (e.g., Diwali, Winterwear)
• Detects styles with high conversion but low availability to prioritize reorders

Example:
Brand X launches a winter kurta set in 5 sizes. Within 10 days, M and L are stocked out while S and XL sit unsold. EasyReplenish flags the issue and auto-recommends a size-specific reorder, factoring in the remaining festive window and vendor lead time.