A build-to-order Magento 2 extension that forecasts demand from sales velocity, predicts shortages and overstock, and recommends replenishment dates and quantities — built, installed, and supported by ECOSIRE on your store. One-time license from $249.00 USD for Magento 2 / Adobe Commerce (build-to-order) — includes 12 months of updates and support.

A build-to-order Magento 2 extension that forecasts demand from sales velocity, predicts shortages and overstock, and recommends replenishment dates and quantities — built, installed, and supported by ECOSIRE on your store.
Aucun paiement maintenant. Ceci envoie une demande de devis à notre équipe — nous vous recontacterons par e-mail avec les tarifs et les prochaines étapes.
Inventory Planner & Demand Forecasting for Magento 2 turns your existing order history into forward-looking replenishment decisions, so your inventory team stops restocking by gut feel. It is a custom-built Magento 2 module delivered under app/code/Ecosire/InventoryPlanner — not a one-click Adobe Commerce Marketplace download. ECOSIRE builds it to fit your catalog, your sources, and your sales patterns, then installs and supports it on your store.
Automatic per-SKU demand forecasting from sales velocity (moving-average / exponential-smoothing), computed nightly via a dedicated Magento cron group
Replenishment recommendations: reorder date and reorder quantity derived from velocity, lead time, safety stock, and current MSI on-hand
Shortage and sold-out prediction with days-of-cover countdown per SKU and per inventory source
Overstock detection that surfaces slow movers and excess capital tied up in stagnant stock
Configurable reorder-point alerts shown as admin grid badges plus optional email notifications
ACL-protected admin 'Inventory Planning' grid built with Magento UI components, with filters, sorting, and CSV export
The extension reads sales velocity from sales_order_item and movement from the inventory tables (MSI inventory_source_item on Magento 2.3+/Adobe Commerce, or cataloginventory_stock_item on legacy single-source stores), computes a moving-average / exponential-smoothing forecast per SKU, and writes results to its own tables via service contracts and repositories. A cron group recalculates forecasts nightly so the data is ready each morning.
In the admin it adds an ACL-protected Inventory Planning grid (UI component listing + filters) showing each SKU's forecast, days-of-cover, recommended reorder date, and recommended quantity against its reorder point. Observers on order and shipment events keep velocity fresh; plugins/interceptors extend stock views without core edits. Shortage, sold-out, overstock, and reorder-point conditions raise alerts (admin grid badges plus optional email).
Results are exposed over REST and GraphQL service contracts, so your PIM, BI, or procurement tooling can pull forecasts directly. It works on Magento Open Source and Adobe Commerce, respects MSI multi-source/stock, and is built clean for upgrade safety. Because it is build-to-order, scope, forecasting method, and integrations are agreed up front — and ECOSIRE owns the install, the smoke test, and post-launch support.
Wants data-driven restocking instead of guesswork — clear reorder dates, quantities, and an early warning before SKUs sell out, all in the Magento admin they already use.
Needs fewer stockouts on best-sellers and less cash trapped in overstock, with forecasts that respect MSI multi-source setups and feed existing BI dashboards via API.
Wants a clean, upgrade-safe module — service contracts, di.xml, plugins, observers, db_schema.xml — that won't break on the next Adobe Commerce patch and exposes REST/GraphQL for integration.
Achetez la licence sur ecosire.com et téléchargez le module ZIP Inventory Planner & Demand Forecasting for Magento 2 depuis le tableau de bord de votre compte.
Extrayez le ZIP dans votre dossier de modules complémentaires personnalisés Odoo sur le serveur (ou téléchargez-le via Applications > Installer à partir du fichier sur Odoo.sh / runbot).
Activez le mode développeur, ouvrez les applications, cliquez sur Mettre à jour la liste des applications, recherchez Inventory Planner & Demand Forecasting for Magento 2 et appuyez sur Installer.
Ouvrez le nouveau menu, collez votre clé de licence ECOSIRE, connectez toutes les informations d'identification externes (Shopify, Amazon, Stripe, etc.) et enregistrez.
Exécutez le test de connexion intégré, synchronisez vos 10 premiers enregistrements et planifiez le cron récurrent. Contactez le support si quelque chose échoue.
| Critère | ÉCOSIRE | Construction personnalisée | Concurrent | Odoo natif |
|---|---|---|---|---|
| Tailored to your catalog, sources, and sales patterns | ||||
| Automatic demand forecasting from sales velocity | ||||
| Reorder date & quantity recommendations | ||||
| Overstock & slow-mover detection | ||||
| MSI multi-source aware out of the build | ||||
| REST & GraphQL service-contract API for forecasts | ||||
| Upgrade-safe (plugins/observers, no core edits) | ||||
| Vendor installs & supports on your store | ||||
| Instant self-service download |
No. This is a build-to-order extension. ECOSIRE builds the module to fit your catalog, sources, and sales patterns, then installs it on your Magento store. There is no one-click Marketplace download — you get a custom-built, installed, and supported module instead.
A typical build is delivered in about 2 to 4 weeks depending on scope: forecasting method, number of inventory sources, alert channels, and any REST/GraphQL integrations. After a short scoping call we confirm the timeline, build on our environment, then install on your staging instance for review before going to production.
Every build includes an agreed support and update window. Because the module uses plugins, observers, and service contracts rather than core edits, it survives Magento and Adobe Commerce patch releases cleanly. We retest after major version upgrades within your support window and can extend support on request.
Yes. It runs on both Magento Open Source and Adobe Commerce and is MSI-aware: forecasts and replenishment recommendations are computed per source and per stock, reading inventory_source_item. On legacy single-source stores it falls back to cataloginventory_stock_item automatically.
By default it computes per-SKU demand using moving-average / exponential-smoothing over your sales_order_item history, recalculated nightly via cron. The exact method is confirmed during scoping. All forecasts, recommendations, and alerts are exposed through service-contract REST and GraphQL endpoints so your BI, PIM, or procurement tools can read them directly.
A build-to-order Magento 2 extension that forecasts demand from sales velocity, predicts shortages and overstock, and recommends replenishment dates and quantities — built, installed, and supported by ECOSIRE on your store.