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Get allocation right at the start, and everything downstream is easier. Get it wrong, and you're rebalancing, marking down, and returning for the rest of the season. Most systems push stock uniformly — Replenify allocates to where demand actually exists.
20% profit lost to size-curve errors industry-wide
If size 7 is always out of stock, it records zero sales. Your system reads this as low demand and allocates fewer next season. The stockout perpetuates — a vicious cycle hidden in your data.
0
Sales recorded
↓
System reads as “low demand”
Fewer
Allocated next season
Replenify detects and corrects for stockout bias — breaking the cycle before it costs you another season.
City stores peak at size 4-5; suburban at 7-8. Per-store size curves learned from history.
Which stores sell which styles, learned from actual sales data. Not guesswork.
Allocate to where demand exists — not uniform push across the network.
Optimized distribution planning for new season launches.
Uses the same data foundation and Store IQ analytics as Rebalancing.