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حقائق سريعة
- السعر
- $249.00 USD
- إصدارات أودو
- —
- وقت الإعداد
- 30 دقيقة
- الترخيص
- مرة واحدة دائمًا
- اللغات
- 11 لغات
شراء لمرة واحدة
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.
$249.00USD
لا حاجة للدفع الآن. يؤدي هذا إلى إرسال طلب عرض سعر إلى فريقنا — وسنتواصل معك عبر البريد الإلكتروني بالأسعار والخطوات التالية.
الميزات الرئيسية
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
عن هذا المنتج
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.
لماذا تختار Inventory Planner & Demand Forecasting for Magento 2
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.
ما تحصل عليه
- 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
لمن هذا
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.
نظرة عامة على التثبيت
تحميل من ECOSIRE
قم بشراء الترخيص من موقع ecosire.com وقم بتنزيل وحدة Inventory Planner & Demand Forecasting for Magento 2 ZIP من لوحة تحكم حسابك.
تحميل إلى أودو
قم باستخراج ملف ZIP إلى مجلد إضافات Odoo المخصصة على الخادم (أو تحميله عبر التطبيقات > التثبيت من ملف على Odoo.sh / runbot).
قم بتثبيت الوحدة
قم بتنشيط وضع المطور، وافتح التطبيقات، وانقر فوق تحديث قائمة التطبيقات، وابحث عن Inventory Planner & Demand Forecasting for Magento 2، ثم اضغط على تثبيت.
تكوين الإعدادات
افتح القائمة الجديدة، والصق مفتاح ترخيص ECOSIRE الخاص بك، وقم بتوصيل أي بيانات اعتماد خارجية (Shopify، وAmazon، وStripe، وما إلى ذلك)، ثم احفظها.
التحقق والبدء في البث المباشر
قم بتشغيل اختبار الاتصال المدمج، وقم بمزامنة أول 10 سجلات لديك، وقم بجدولة عملية cron المتكررة. اتصل بالدعم إذا فشل أي شيء.
كيف يقارن Inventory Planner & Demand Forecasting for Magento 2.
| المعيار | ECOSIRE | بناء مخصص | منافس | أودو الأصلي |
|---|---|---|---|---|
| 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 |
الأسئلة المتداولة حول Inventory Planner & Demand Forecasting for Magento 2
+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 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.
+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.
لماذا يثق العملاء في ECOSIRE
تمت محاذاة SOC 2
متوافق مع اللائحة العامة لحماية البيانات
تأمين الشريط الدفع
استرداد الأموال لمدة 30 يومًا
تحديثات مدى الحياة
ترخيص LGPL-3.0
طلب عرض سعر
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.
- 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