AI Inventory Forecasting & Auto-Replenishment is a build-to-order Shopify app that ECOSIRE designs, builds, installs, and supports for your store. This is not an instant App Store download — after purchase, our team scopes your catalog, connects to your Shopify store via OAuth, and ships a working private app tuned to your locations, suppliers, and sales patterns.

The app reads your historical order and fulfillment data through the Shopify Admin GraphQL API and stays current using orders/create, inventory_levels/update, and products/update webhooks. It models sales velocity and seasonality per SKU per location, then computes dynamic reorder points and safety stock from lead time and demand variability. When stock crosses a threshold, it produces a suggested purchase order grouped by supplier, which your buyers review and approve.

Because it is multi-location aware, forecasts and replenishment respect Shopify's native multi-location inventory model — each location gets its own demand curve and reorder logic rather than a single blended number. Per-product configuration (supplier, lead time, MOQ, case pack) is stored in Shopify metafields, so settings travel with your products and survive theme or app changes.

You also get stockout and overstock alerts, trend and seasonality detection, and dead-stock plus markdown recommendations to free up working capital. Reports run in an embedded Polaris-styled admin UI inside Shopify Admin.

Honest scope: forecast quality depends on having enough order history — typically 8–12+ weeks per SKU/location. New SKUs fall back to category and manual baselines until data accrues. ECOSIRE provides the build, a walkthrough, and ongoing support. Suggested POs are recommendations for human approval, not blind auto-ordering, unless you explicitly request unattended automation.