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Inventory Planner & Demand Forecasting for Magento 2 — A build-to-order Magento 2 extension that forecasts demand from sales  — 1/1Aperçu illustratif

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.

Qu'est-ce que Inventory Planner & Demand Forecasting for Magento 2 ?

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. Built to order by ECOSIRE for Magento 2 / Adobe Commerce (build-to-order) — indicative price from $999.00 USD; request a quote for a scoped proposal.

Fonctionnalités clés

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
Multi-Source Inventory (MSI) aware — forecasts and recommendations per source and per stock, with a legacy single-source fallback
Service contracts (repositories + interfaces) plus REST and GraphQL endpoints so BI, PIM, or procurement tools can read forecasts
Observers on order placed and shipment events keep sales velocity current without polling
Plugins / interceptors extend stock and product views with no core file edits, keeping the store upgrade-safe
Works on both Magento Open Source and Adobe Commerce, with config under Stores > Configuration gated by system.xml
Built, installed, smoke-tested, and supported by ECOSIRE on your Magento environment

Fait sur commande, clé en main

Aucune configuration à faire vous-même — une app fonctionnelle conçue, installée et prise en charge par ECOSIRE.

  1. 1

    Vous commandez

    Commencez par un prix de développement unique. Nous cadrons le projet avec vous au lancement.

  2. 2

    Nous développons et installons

    ECOSIRE la développe, la configure et l'installe sur votre Magento 2.

  3. 3

    Mise en ligne + assistance

    Vous êtes en ligne en une semaine ouvrée environ, avec deux semaines d’assistance après la mise en production. Les défauts du code que nous livrons sont corrigés gratuitement.

À propos de ce produit

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.

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.

Ce que vous obtenez

  • Custom Magento 2 module under app/code/Ecosire/InventoryPlanner, composer-installable, with registration.php and module.xml
  • Database schema (db_schema.xml) for forecast, recommendation, and alert tables plus data/schema patches for safe install/upgrade
  • Admin Inventory Planning grid (UI component listing, di.xml wiring, ACL in acl.xml) and a Stores > Configuration section via system.xml
  • Cron configuration (crontab.xml) for nightly forecast recalculation, with a manual 'recalculate now' admin action
  • REST and GraphQL service-contract endpoints exposing forecasts, recommendations, and alerts
  • Observers and plugins for order/shipment events and stock view extension, with no core-file modifications
  • Installation on your Magento environment (staging then production), setup:upgrade / di:compile / cache flush, and a post-deploy smoke test
  • Technical handover doc, admin user guide, and an agreed support and update window

Pour qui c'est

Inventory / Purchasing Manager

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.

eCommerce Operations Lead

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.

Magento Solution Architect / Developer

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.

Comment Inventory Planner & Demand Forecasting for Magento 2 se compare

CritèreÉCOSIREConstruction personnaliséeConcurrentNatif Magento 2
Tailored to your catalog, sources, and sales patternsInclusInclusNon inclusNon inclus
Automatic demand forecasting from sales velocityInclusPrise en charge partiellePrise en charge partielleNon inclus
Reorder date & quantity recommendationsInclusPrise en charge partiellePrise en charge partielleNon inclus
Overstock & slow-mover detectionInclusPrise en charge partiellePrise en charge partielleNon inclus
MSI multi-source aware out of the buildInclusPrise en charge partiellePrise en charge partiellePrise en charge partielle
REST & GraphQL service-contract API for forecastsInclusPrise en charge partiellePrise en charge partielleNon inclus
Upgrade-safe (plugins/observers, no core edits)InclusPrise en charge partielleInclusInclus
Vendor installs & supports on your storeInclusNon inclusPrise en charge partielleNon inclus
Instant self-service downloadNon inclusNon inclusInclusInclus

Foire aux questions sur Inventory Planner & Demand Forecasting

Is this an instant download from the Adobe Commerce Marketplace?

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.

How long does delivery and installation take?

A typical build is delivered in about one working week 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.

How does it handle ongoing support and Magento updates?

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.

Does it work with Multi-Source Inventory (MSI) and Adobe Commerce?

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.

What forecasting method does it use, and can I access the data via API?

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.

Demander un devis

Inventory Planner & Demand Forecasting

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.

  • 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

Demander un devis

Décrivez vos besoins pour Inventory Planner & Demand Forecasting et nous vous enverrons les tarifs, les options de licence et une proposition sur mesure, généralement sous un jour ouvré.

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.