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.

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.