Home goods, outdoor apparel, and specialty brands with 50–500 active SKUs. DTC and wholesale in parallel. Real allocation decisions, real weeks-of-stock numbers, real outcomes.
"We were sitting on 6 weeks of stock on our hero SKUs while simultaneously stocking out on our fastest colorways. The DC had the inventory — we just didn't know where it needed to go until it was too late. Stockvyne fixed both problems in the first month."
Brands across home goods, outdoor, apparel, and specialty retail — all running DTC and wholesale in parallel.
"The allocation recommendations are the first thing our ops team opens Monday morning. The SKU-level urgency ranking has replaced what used to be a 90-minute whiteboard session before we could even agree on what to ship where."
"We went from a 12-week replenishment cycle to 8 weeks. The lead time-aware PO suggestions factor in our in-transit inventory — something we were tracking in a separate spreadsheet before. That alone saved us from two overbuying decisions last spring."
"We had a Faire holiday push that could have turned into a full stockout on our top three SKUs. Stockvyne flagged the risk 6 weeks out — our sell-through rate was accelerating faster than our safety stock buffer. We reordered in time. That was $40K of revenue we would have missed."
"We've been selling the same core product lines for five years but never had a model that understood our Q4-to-Q1 demand shift. Every spring we'd overstock the carryover SKUs and understock the new colorways. The seasonal pattern detection in Stockvyne figured it out in the first forecast run. That Q1 was our cleanest inventory position in five years."
"I've looked at four inventory platforms over the past two years. Three of them gave me a number and expected me to trust it. Stockvyne shows me the forecast behind the transfer recommendation, the current weeks-of-stock at both locations, and what happens to the stockout risk if I delay by a week. That's what an ops director actually needs to make a decision."
"I connected Shopify and QuickBooks in 20 minutes and had the first SKU-level forecast the next morning. I'd blocked a full week in my calendar expecting an implementation project. The historical import ran overnight while I slept. I was not expecting that."
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