Sizes go out of stock in waves.
M and L sell out by week three; S and XL sit. By the time you notice, the season is half over. We track sell-through per size and ping you when the reorder window opens — usually at 85% sell-through.
signall.store reads which sizes move, which fabrics stall, and how the week bends around festivals and paydays — so your next buying trip is a decision, not a guess.
M and L sell out by week three; S and XL sit. By the time you notice, the season is half over. We track sell-through per size and ping you when the reorder window opens — usually at 85% sell-through.
Linen dies in August, velvet peaks for Diwali. Every fabric is its own season. We learn your fabric curves and tell you when to mark down, when to push, and when to let it run.
The Saturday before Diwali is a different shop than a regular Saturday. Pay-day week is different from end-of-month. We learn those curves and forecast the next one.
If half of your XL shirts come back for alteration, the size chart is the problem — not the customer. We cluster alteration reasons and surface patterns.
Yes. Saree shops have strong fabric lifecycles and festival curves — two of the most useful things we track. We support both per-piece and per-metre billing.
Yes. We model age/size as its own dimension so you can see sell-through per age bracket.
Returns and exchanges are tracked with reason codes. Over time you see which items have the highest return rate — and whether the reason is fit, color, or quality.
Before the trip we generate a reorder sheet based on sell-through velocity per SKU per size, plus the upcoming festival forecast. You walk into the wholesale market with a list, not a hunch.
Yes. Per-shop and consolidated views, per-shop and consolidated signals. Stock transfers between shops are tracked.
Free during private beta. Five-minute setup. Works with your current billing — no new till, no new hardware.