Produktdetails werden auf Englisch angezeigt. Übersetzungen folgen in Kürze.
Kurze Fakten
- Preis
- $499.00 USD
- shopify-Versionen
- —
- Rüstzeit
- 30 Min
- Lizenz
- Einmalig und unbefristet
- Sprachen
- 11 Sprachen
Einmalkauf
AI Inventory Forecasting & Auto-Replenishment
A custom-built Shopify app that predicts demand per SKU and location, calculates reorder points and safety stock, and auto-generates suggested purchase orders. Built, installed, and supported by ECOSIRE.
$499.00USD
Keine Zahlung jetzt. Dies sendet eine Angebotsanfrage an unser Team – wir melden uns per E-Mail mit Preisen und nächsten Schritten.
Hauptfunktionen
Demand forecasting per SKU and per Shopify location using sales-velocity and seasonality models
Dynamic reorder-point and safety-stock calculation from lead time and demand variability
Suggested purchase orders grouped by supplier, exportable to CSV for review and approval
Stockout and overstock alerts via email and in-admin notifications
Seasonality and trend detection that adapts forecasts to recurring demand cycles
Dead-stock identification with markdown and clearance recommendations to recover working capital
Multi-location inventory awareness aligned with Shopify's native location model
Per-product supplier, lead time, MOQ, and case-pack settings stored in Shopify metafields
Live data sync via Admin GraphQL API plus orders, inventory, and product webhooks
Embedded Polaris-styled admin dashboard inside Shopify Admin with forecast and replenishment views
Secure OAuth installation as a private/custom app scoped to your store
Configurable forecast horizon, service level, and reorder cadence per location
Über dieses Produkt
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.
Warum AI Inventory Forecasting & Auto-Replenishment wählen
Demand forecasting per SKU and per Shopify location using sales-velocity and seasonality models
Dynamic reorder-point and safety-stock calculation from lead time and demand variability
Suggested purchase orders grouped by supplier, exportable to CSV for review and approval
Stockout and overstock alerts via email and in-admin notifications
Seasonality and trend detection that adapts forecasts to recurring demand cycles
Dead-stock identification with markdown and clearance recommendations to recover working capital
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.
Was Sie bekommen
- A custom Shopify app built to your catalog, locations, and supplier setup, installed via OAuth on your store
- Forecasting engine configured with your service-level targets, lead times, and reorder cadence
- Metafield schema for per-product replenishment settings (supplier, lead time, MOQ, case pack)
- Embedded admin dashboard for forecasts, reorder suggestions, alerts, and dead-stock reports
- Webhook and Admin GraphQL API integration for continuous data sync
- Onboarding walkthrough plus written admin and configuration documentation
- Post-launch support window with bug fixes and tuning, and an optional ongoing support plan
Für wen das ist
Multi-Location Retail Operations Manager
Runs replenishment across several stores or warehouses and needs per-location forecasts and reorder points instead of one blended number, so each location holds the right stock without tying up cash.
Inventory / Demand Planner
Owns purchasing and working capital. Wants velocity- and seasonality-driven reorder points, supplier-grouped suggested POs, and dead-stock alerts to cut both stockouts and overstock.
Ecommerce Founder / Operations Lead
Scaling a growing Shopify catalog and tired of manual spreadsheets. Wants an automated, human-approved replenishment workflow built around their actual suppliers and lead times.
Installationsübersicht
Von ECOSIRE herunterladen
Kaufen Sie die Lizenz auf ecosire.com und laden Sie die ZIP-Datei des AI Inventory Forecasting & Auto-Replenishment-Moduls von Ihrem Konto-Dashboard herunter.
Auf Odoo hochladen
Extrahieren Sie die ZIP-Datei in Ihren Odoo-Ordner für benutzerdefinierte Add-ons auf dem Server (oder laden Sie sie über „Apps“ > „Aus Datei installieren“ auf Odoo.sh/Runbot hoch).
Installieren Sie das Modul
Aktivieren Sie den Entwicklermodus, öffnen Sie „Apps“, klicken Sie auf „Apps-Liste aktualisieren“, suchen Sie nach „AI Inventory Forecasting & Auto-Replenishment“ und klicken Sie auf „Installieren“.
Einstellungen konfigurieren
Öffnen Sie das neue Menü, fügen Sie Ihren ECOSIRE-Lizenzschlüssel ein, verbinden Sie alle externen Anmeldeinformationen (Shopify, Amazon, Stripe usw.) und speichern Sie.
Verifizieren und live gehen
Führen Sie den integrierten Verbindungstest aus, synchronisieren Sie Ihre ersten 10 Datensätze und planen Sie den wiederkehrenden Cron. Wenden Sie sich an den Support, wenn etwas fehlschlägt.
Wie AI Inventory Forecasting & Auto-Replenishment im Vergleich abschneidet
| Kriterium | ECOSIRE | Benutzerdefinierter Build | Konkurrent | Odoo Native |
|---|---|---|---|---|
| Forecasts demand per SKU and per location | ||||
| Tailored to your exact suppliers, lead times, and MOQs | ||||
| Available as an instant self-serve install | ||||
| Suggested purchase orders grouped by supplier | ||||
| Dead-stock and markdown recommendations | ||||
| No ongoing per-month subscription fee | ||||
| Owned by you with source available on request | ||||
| Maintained without your own dev team |
Häufig gestellte Fragen zu AI Inventory Forecasting & Auto-Replenishment
+Is this an instant App Store install?
No. This is a build-to-order app. After purchase, ECOSIRE scopes your catalog, locations, and suppliers, then builds and installs a custom private app on your store via OAuth. You receive a working, tuned app rather than a generic download.
+How long does delivery take?
Typical delivery is about 2 to 4 weeks after the kickoff call, depending on catalog size, number of locations, and supplier complexity. We confirm a firm timeline during scoping. You will need to grant API access to your store and provide supplier lead times and any historical order data export we request.
+What ongoing support and updates do I get?
The price includes a post-launch support window covering bug fixes and forecast tuning. After that, an optional ongoing support plan covers Shopify API version upgrades, webhook maintenance, new feature requests, and model adjustments as your catalog grows. Because it is your own app, there is no public marketplace to push breaking changes to you.
+How much sales history do I need for accurate forecasts?
Forecast quality improves with data. We generally recommend 8 to 12 or more weeks of order history per SKU and location for reliable seasonality and velocity signals. New or low-volume SKUs fall back to category baselines and manual reorder settings until enough history accumulates.
+Does it automatically place purchase orders with my suppliers?
By default it generates suggested purchase orders grouped by supplier for a human to review and approve, which protects against bad data and demand spikes. If you specifically want unattended ordering or direct supplier integration, we can scope that as an add-on rather than enabling it blindly.
+Does it work with multiple Shopify locations?
Yes. It is built around Shopify's native multi-location inventory model. Each location gets its own demand curve, reorder point, and safety stock, so replenishment reflects where demand actually occurs instead of a single store-wide average.
Warum Kunden ECOSIRE vertrauen
SOC 2 ausgerichtet
DSGVO-konform
Sichere Stripe-Zahlung
30 Tage Geld-zurück-Garantie
Lebenslange Updates
LGPL-3.0-Lizenz
Verwandte Module
Angebot anfordern
AI Inventory Forecasting & Auto-Replenishment
A custom-built Shopify app that predicts demand per SKU and location, calculates reorder points and safety stock, and auto-generates suggested purchase orders. Built, installed, and supported by ECOSIRE.
- Demand forecasting per SKU and per Shopify location using sales-velocity and seasonality models
- Dynamic reorder-point and safety-stock calculation from lead time and demand variability
- Suggested purchase orders grouped by supplier, exportable to CSV for review and approval
- Stockout and overstock alerts via email and in-admin notifications