Platform

Four modules. One daily planning routine your team will actually use.

Demand forecasting, DC-to-store allocation, replenishment signals, and sell-through reporting — tightly integrated for brands managing 50–500 active SKUs across DTC and wholesale.

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50–500
SKU sweet spot
<2 wks
to first forecast
Daily
recommendations
01 — Demand Forecasting

SKU-level demand sensing — not aggregate forecasts pushed down

Most tools build a top-down forecast and divide it across your catalog. Stockvyne models each SKU independently, factoring in your specific channel mix, seasonal demand curves, promotional lift, and velocity anomalies by location.

  • Daily forecasts with 8, 12, and 16-week horizons depending on plan
  • Seasonal pattern detection using 18+ months of order history
  • Promo-lift adjustments when you flag upcoming campaigns or site events
  • Confidence intervals surfaced at SKU level — so you know which forecasts to act on and which to watch
Demand forecasting trend chart showing seasonal inventory patterns
02 — Allocation Engine

Which 12 SKUs to Store #47 — this Thursday, not next planning cycle

The allocation engine reads current weeks-of-stock at every location, weights it against the demand forecast, and generates ranked transfer recommendations with the urgency and quantities your ops team needs to act immediately.

  • DC-to-store transfer recommendations ranked by stockout risk and transfer window
  • Store-to-store rebalancing for slow-moving inventory sitting in the wrong location
  • Open-to-buy awareness — recommendations respect your channel allocation targets
  • One-click export to your WMS, fulfillment team, or 3PL portal
Illustration of inventory allocation across distribution center and retail stores
03 — Replenishment Signals

Dynamic safety stock — not a static reorder point set two years ago

A fixed safety stock formula set when your brand was doing 30% less volume will underprotect your fastest movers and overprotect your slow ones. Stockvyne recalculates safety stock weekly using actual demand variability and current lead times per vendor.

  • Safety stock recalculated weekly using real demand standard deviation
  • Lead time-aware PO suggestions by vendor, accounting for in-transit inventory
  • Slack or email alerts when a SKU crosses its reorder point
  • Overstock prevention mode — flags PO quantities that would push weeks-of-stock above your target ceiling
Safety stock Reorder Week 1 Week 6 Week 12 Inventory Level — SKU-1847
04 — Reporting Dashboard

The four reports your buying team actually opens every morning

Stockvyne is not a BI platform. We built four specific views: sell-through by channel, weeks-of-stock by location, SKU classification by ABC-XYZ, and dead stock aging. Those four reports cover 90% of what a planning team needs for their daily review.

  • Sell-through rate by SKU, channel, and time period — updated daily
  • Weeks-of-stock heatmap across all DC and store locations
  • ABC-XYZ classification recalculated weekly as velocity and predictability shift
  • Dead stock aging report flagging SKUs approaching 90+ days on hand, with suggested recovery actions
Sell-Through Rate — This Week Shopify DTC 79% Faire Wholesale 61% Store Network 33% Stockout Risk ⚠ SKU-1847 • Store #12 ⚠ SKU-0392 • Store #7 ✓ SKU-2211 • All stores ✓ SKU-0881 • DTC
Platform architecture

One connected system: POS data in, transfer order out

Stockvyne pulls from your ecommerce channels, wholesale platform, and ERP, runs the forecasting and allocation logic, and delivers SKU-level recommendations to your planning team every morning — before the day's decisions are made.

Shopify Ecommerce Faire Wholesale Amazon Marketplace Stockvyne Engine Forecasting · Allocation · Replenishment · Reporting Daily Recs Planning team Slack Alerts Reorder signals WMS Export Transfer orders
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Replace the planning spreadsheet. Keep the muscle memory.

No credit card required. Your first SKU-level forecast ready within two weeks of connecting your channels.