See Inventory Clearly Across Every Retail Channel

Stockagile helps multichannel retailers forecast demand, spot stockout risk, prepare purchase orders, and rebalance inventory across locations.

Platform use cases

How Retail Teams Use Stockagile

Multi-location fashion retailer

Fashion retail - 6 locations - Shopify + Lightspeed

A fashion retailer connects Shopify and Lightspeed for a shared view of inventory across stores and online. Stockagile produces SKU-level daily forecasts by location, using the 90-day horizon for near-term replenishment and the 180-day horizon for seasonal planning. Reorder quantity suggestions support purchase order preparation, while the redistribution view highlights where slow-moving end-of-season stock could meet demand elsewhere before new units are ordered.

Outdoor sports retailer

Outdoor and sports retail - 4 stores + online - WooCommerce + Square

An outdoor and sports retailer brings WooCommerce and Square inventory into one daily sync instead of checking multiple back offices and spreadsheets. Stockagile creates a daily prioritized restock list from SKU-level forecasts, low-stock signals, and configurable days-to-stockout thresholds. Reorder quantity suggestions give the buying team a practical starting point for each purchase order, so Monday planning focuses on exceptions, supplier decisions, and upcoming demand rather than manual data gathering.

Seasonal home goods retailer

Home goods retail - 3 locations - WooCommerce

A seasonal home goods retailer uses Stockagile to model demand curves that are difficult to assess from last year's sales alone. The 90-day forecast horizon helps the team plan upcoming collections and replenishment windows, while configurable low-stock and days-to-stockout alerts surface risks early enough to review standard supplier lead times. Daily inventory sync keeps the forecast grounded in current stock, and the location view shows where seasonal units are building up or running short.

Early-access signals

Directional Signals From Early-Access Pilots

These directional signals are based on aggregate early-access pilot data and are not guaranteed outcomes for every retailer.

~12%

Average overstock reduction, based on aggregate early-access pilot data

~85 min

Saved per week on PO preparation, based on aggregate early-access pilot data

92%+

Forecast accuracy at 7-day horizon, based on aggregate early-access pilot data

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