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Kurze Fakten
- Preis
- $799.00 USD
- dynamics_365_business_central-Versionen
- —
- Rüstzeit
- 45 Min
- Lizenz
- Einmalig und unbefristet
- Sprachen
- 11 Sprachen
Einmalkauf
AI Demand Forecasting for Retail
A build-to-order Business Central AL extension that applies AI/ML to your sales history to forecast demand by store and SKU, then drives replenishment suggestions and flags stockout and overstock risk. Built, installed per-tenant and supported by ECOSIRE.
$799.00USD
Keine Zahlung jetzt. Dies sendet eine Angebotsanfrage an unser Team – wir melden uns per E-Mail mit Preisen und nächsten Schritten.
Hauptfunktionen
AI/ML demand forecasting computed per store (Location) and per SKU (Item / Variant) from BC posted sales and item ledger entries
Seasonality, trend and promotional-uplift modeling so forecasts reflect real retail demand patterns
Forecast-driven replenishment suggestions aligned with BC requisition and planning worksheets
Stockout and overstock risk flags surfaced in factboxes on the Item and Location cards
New-product and event forecasting for items with little or no sales history (launches, promos, seasonal peaks)
Delivered as a per-tenant AL extension — table extensions, page extensions and a dedicated Demand Forecast list page
Event subscribers on sales posting routines keep the model continuously fed with fresh demand
Scheduled Job Queue entry runs forecasting unattended on a cadence you choose (nightly/weekly)
Configurable AI gateway: Azure OpenAI / Azure ML over outbound HTTP, or Dataverse / Power Platform scoring inside your tenant
Forecast data exposed via BC REST/OData API for Power BI dashboards and downstream reporting
Dedicated permission sets so planners, buyers and admins get exactly the access they need
Honors your company, dimension and location structure for multi-store retail chains
Über dieses Produkt
AI Demand Forecasting for Retail is a custom-built Microsoft Dynamics 365 Business Central extension (AL language, deployed as a per-tenant extension) that turns your historical sales into store-and-SKU demand forecasts — so buyers order to data, not gut feel.
Warum AI Demand Forecasting for Retail wählen
AI/ML demand forecasting computed per store (Location) and per SKU (Item / Variant) from BC posted sales and item ledger entries
Seasonality, trend and promotional-uplift modeling so forecasts reflect real retail demand patterns
Forecast-driven replenishment suggestions aligned with BC requisition and planning worksheets
Stockout and overstock risk flags surfaced in factboxes on the Item and Location cards
New-product and event forecasting for items with little or no sales history (launches, promos, seasonal peaks)
Delivered as a per-tenant AL extension — table extensions, page extensions and a dedicated Demand Forecast list page
This is not an instant AppSource download. ECOSIRE builds the extension to fit your item/location structure, installs it directly into your Business Central environment (cloud SaaS or on-prem), and supports it after go-live. We connect to your sales history through Business Central's posted sales lines and item ledger entries, model seasonality, trend and promotional uplift, and write forecast results back into BC tables you can act on.
The extension adds table and page extensions (e.g. forecast factboxes on the Item and Location cards, a dedicated Demand Forecast list page) and event subscribers on posting routines so new sales continuously refresh the model. Forecasting runs on a scheduled Job Queue entry; heavier ML scoring is handled through a configurable AI gateway — either Azure OpenAI / Azure ML reached over the BC REST/OData API and outbound HTTP, or Dataverse / Power Platform when you prefer to keep scoring inside your Microsoft tenant. Output feeds forecast-driven replenishment suggestions that line up with BC's requisition and planning worksheets, plus stockout and overstock risk flags surfaced where planners already work.
We scope permission sets, respect your company/location dimensions, and hand over documentation so your team owns the result. New-product and event forecasting (launches, promos, seasonal peaks) is included for items without long history. One-time build price covers design, AL development, installation and knowledge transfer; ongoing support and model tuning are available as an option.
Was Sie bekommen
- Scoped solution design mapping your item/location/dimension structure to a forecasting model
- Custom AL extension (.app) installed as a per-tenant extension in your Business Central environment
- Table and page extensions plus a Demand Forecast list page and Item/Location factboxes
- Configured Job Queue entry and AI gateway integration (Azure OpenAI/ML or Dataverse/Power Platform)
- Permission sets and role-tailored access for planners, buyers and administrators
- User documentation, admin handover notes and a knowledge-transfer session
Für wen das ist
Retail Planner / Demand Planner
Owns the forecast and replenishment cadence. Wants store-and-SKU demand numbers and risk flags inside Business Central instead of exporting to spreadsheets and guessing.
Buyer / Merchandiser
Places purchase orders against forecasts. Wants replenishment suggestions tied to BC requisition worksheets so ordering is data-driven and stockouts and markdowns drop.
Business Central Administrator
Manages the environment, extensions and integrations. Cares about a clean per-tenant AL extension, scoped permission sets, Job Queue scheduling and a supportable AI gateway configuration.
Installationsübersicht
Von ECOSIRE herunterladen
Kaufen Sie die Lizenz auf ecosire.com und laden Sie die ZIP-Datei des AI Demand Forecasting for Retail-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 Demand Forecasting for Retail“ 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 Demand Forecasting for Retail im Vergleich abschneidet
| Kriterium | ECOSIRE | Benutzerdefinierter Build | Konkurrent | Odoo Native |
|---|---|---|---|---|
| AI/ML forecasting by store and SKU | Im Lieferumfang enthalten | Teilweise Unterstützung | Teilweise Unterstützung | |
| Built to fit your exact item/location/dimension structure | Im Lieferumfang enthalten | Im Lieferumfang enthalten | Nicht im Lieferumfang enthalten | |
| Installed as a per-tenant AL extension and supported for you | Im Lieferumfang enthalten | Teilweise Unterstützung | Teilweise Unterstützung | |
| Seasonality, trend and promo-uplift modeling included | Im Lieferumfang enthalten | Teilweise Unterstützung | Teilweise Unterstützung | |
| Forecast-driven replenishment tied to BC requisition/planning worksheets | Im Lieferumfang enthalten | Teilweise Unterstützung | Teilweise Unterstützung | |
| Choice of AI gateway (Azure OpenAI/ML or Dataverse/Power Platform) | Im Lieferumfang enthalten | Teilweise Unterstützung | Nicht im Lieferumfang enthalten | |
| No in-house AL/ML developer required to build or maintain it | Im Lieferumfang enthalten | Nicht im Lieferumfang enthalten | Im Lieferumfang enthalten | |
| New-product and event forecasting for items with no history | Im Lieferumfang enthalten | Teilweise Unterstützung | Teilweise Unterstützung |
Häufig gestellte Fragen zu AI Demand Forecasting for Retail
How long does delivery take, and is this an AppSource app I download?
This is a build-to-order extension, not an instant AppSource download. After a short scoping call we typically deliver in roughly 3–6 weeks depending on your data volume, number of stores/SKUs and chosen AI gateway. ECOSIRE builds the AL extension, installs it as a per-tenant extension in your Business Central environment, and validates the forecasts against your history before sign-off.
What ongoing support and updates do I get after go-live?
The one-time build price covers design, development, installation and knowledge transfer. Ongoing support — bug fixes, BC version-upgrade compatibility (e.g. when Microsoft ships a new major release), model retuning as your assortment changes, and feature enhancements — is available as an optional support arrangement. We keep the extension current with your environment so it stays installable and supported.
Where does the AI scoring run, and is my sales data safe?
You choose the gateway. Scoring can run on Azure OpenAI / Azure ML reached over outbound HTTP from Business Central, or stay inside your Microsoft tenant via Dataverse / Power Platform. Only the sales-history features needed for forecasting are sent; we scope permission sets and follow your data-governance rules. Nothing is hardcoded to an ECOSIRE-owned service.
Does it work with multiple stores and item variants?
Yes. Forecasts are computed per Location (store) and per Item/Variant (SKU), and the extension honors your company, dimension and location structure. It is designed for multi-store retail chains where demand differs by store.
How does it connect to my existing ordering process?
Forecast-driven replenishment suggestions are aligned with Business Central's requisition and planning worksheets, so buyers act on them inside the standard ordering flow. Forecast data is also exposed via the BC REST/OData API for Power BI and downstream reporting.
Verwandte Module
Angebot anfordern
AI Demand Forecasting for Retail
A build-to-order Business Central AL extension that applies AI/ML to your sales history to forecast demand by store and SKU, then drives replenishment suggestions and flags stockout and overstock risk. Built, installed per-tenant and supported by ECOSIRE.
- AI/ML demand forecasting computed per store (Location) and per SKU (Item / Variant) from BC posted sales and item ledger entries
- Seasonality, trend and promotional-uplift modeling so forecasts reflect real retail demand patterns
- Forecast-driven replenishment suggestions aligned with BC requisition and planning worksheets
- Stockout and overstock risk flags surfaced in factboxes on the Item and Location cards