SKU-level forecasting to replenishment orders
Three steps from connection to your first replenishment recommendation. No data team. No SQL. Just plug in your store and go.
Connect your e-commerce stack
Stockorlo connects to the platforms your brand already uses. Our OAuth-based connectors pull in order history, current inventory levels, product catalog, and channel-level sales data — without any custom development work on your side.
Supported platforms at launch: Shopify, WooCommerce, BigCommerce, Amazon Seller Central, Walmart Marketplace, NetSuite, QuickBooks, and Cin7. API access is available for any platform not on the native list.
Stockorlo builds a demand model for every SKU
Once your data sources are connected, Stockorlo ingests your full sales history and runs a demand model at the SKU and location level. The model accounts for:
- Seasonality — annual and sub-annual demand patterns, peak weeks, post-holiday dips
- Trend — growing, stable, or declining SKU-level demand over time
- Channel mix — separate demand signals for Shopify, Amazon, and wholesale channels
- Lead time awareness — forecasts account for your supplier lead times, so reorder timing is right, not just quantity
Forecast output is updated every 24 hours as new sales data comes in. Horizon: 4, 8, or 12 weeks forward.
Get replenishment recommendations — or push orders automatically
When a SKU's projected inventory crosses its reorder threshold, Stockorlo creates a replenishment recommendation. Each recommendation includes:
- Recommended order quantity (based on forward demand + lead time)
- Suggested order date (to arrive before projected stockout)
- Supplier or vendor routing (based on your configured suppliers)
You can review and approve recommendations one by one, bulk-approve a queue, or configure auto-push rules that send purchase orders directly to NetSuite, QuickBooks, or Cin7 without a manual step.
What powers the forecasting engine
Purpose-built for the realities of mid-market e-commerce — not retrofitted from enterprise planning software.
Forecast demand separately for each warehouse, 3PL, or retail location — and roll up to total inventory position automatically.
Shopify DTC, Amazon, wholesale, and retail store demand are modeled separately and reconciled to a single inventory position — no averaging across channels.
Configure lead times per supplier and SKU. Stockorlo adjusts reorder timing so purchase orders arrive before you go below safety stock — not after.
Override defaults at the SKU, category, or supplier level. Set minimum order quantities, rounding rules, and safety stock buffers to match your operational constraints.
See Stockorlo with your own data
Request early access and we'll set up a walkthrough using your catalog and sales history — not a generic demo.