Stockorlo connects your Shopify, NetSuite, and Cin7 data into SKU-level replenishment recommendations that your buying team can approve in one click.
Six capabilities that work together to turn your existing ERP and storefront data into daily replenishment decisions.
Stockorlo scores each SKU on a 0-100 stockout risk index updated every morning before the operations team starts their day. The score integrates current on-hand inventory, in-transit receipts, trailing 30-day velocity, and upcoming promotions from the calendar.
SKUs crossing a configurable risk threshold surface in a priority queue so operations managers see the three highest-risk items without opening a single spreadsheet.
When an operator adds a planned sale or influencer campaign to the Stockorlo promotions calendar, the demand model recalculates affected SKU forecasts within two hours using historical promotion lift data from past comparable events.
Operators see a before-after forecast comparison so they can approve the adjusted reorder quantity before it enters the purchase order queue.
Stockorlo ingests confirmed purchase order dates and actual receipt timestamps from Anvyl or manual import to build a rolling lead-time accuracy profile per supplier. When a supplier drifts more than 15% above their stated lead time, the system automatically inflates the safety stock buffer for that supplier's SKUs.
Operators can accept the adjusted buffer or override it with a supplier-specific note.
When Stockorlo identifies a replenishment need, it assembles a purchase order draft with vendor details, SKU quantities, and target receipt dates drawn from the operator's existing supplier records in NetSuite or Cin7.
The draft is staged for one-click approval rather than requiring manual entry. Operators review, edit quantities if needed, and approve inside their existing OMS.
For e-commerce operators running parallel channels across DTC Shopify, wholesale accounts, and Amazon, Stockorlo consolidates demand signals before running SKU-level forecasts. Channel weights are configurable so operators can reflect confidence differences.
The consolidated forecast prevents the common failure mode where wholesale and DTC teams each run separate spreadsheet forecasts for the same SKU pool.
Stockorlo pulls active return authorizations from Shopify and ShipBob to estimate expected re-sellable inventory arriving within the next 14 days. This restockable return pool is reflected as a discount to the gross replenishment recommendation.
Operators can review the estimated returns pool and exclude specific SKUs if condition inspection is required before re-sell.
Stockorlo connects to the tools your team already uses and builds a repeatable replenishment workflow on top of them.
Authorize the Shopify Admin API, NetSuite SuiteScript, or Cin7 REST API. Stockorlo pulls historical order data, on-hand inventory, and promotions calendar on the first sync.
Every night Stockorlo runs gradient-boosted time-series decomposition on a rolling 90-day window, producing SKU-level risk scores and replenishment quantities ranked by stockout probability.
Each morning your buying team opens a prioritized queue of SKUs crossing the risk threshold, with full context on current stock, in-transit receipts, and upcoming promotions.
One-click approval pushes the purchase order draft into NetSuite, Cin7, or ShipBob. Stockorlo tracks the resulting receipt against the forecast to improve future recommendations.
The average mid-market buying team spends four hours each Monday manually reconciling inventory spreadsheets across three systems before they can make a single reorder decision.
A Seattle outdoor gear retailer lost an estimated $140,000 in peak-season revenue on a single rain jacket SKU after their manual spreadsheet process missed the reorder signal two weeks before demand peaked.
After connecting Shopify and NetSuite, Stockorlo typically identifies the first high-priority replenishment candidate within two weeks of initial data sync, before a stockout occurs.
Stockorlo connects to your existing Shopify or NetSuite instance and starts producing replenishment recommendations within the first two weeks. No migration required.
