Business Central ships with a basic Sales & Inventory Forecast (the Azure ML extension) and standard requisition/planning worksheets, but most supply-chain teams quickly hit its ceiling: it forecasts at a single granularity, ignores promotions and multi-location nuance, and leaves safety stock as a manually typed number on the Stockkeeping Unit card. Demand Forecasting & Inventory Optimization is a build-to-order AL extension that closes those gaps for your specific item catalog, locations, and replenishment policies.

We build it as a per-tenant extension (not a generic AppSource listing) so it can use your actual table structure, dimensions, item categories, and vendor lead times. The app reads sales history through BC's native posted-document tables, runs statistical baselines (moving average, exponential smoothing) alongside an AI model that captures seasonality and trend, then writes optimized reorder points, safety-stock quantities, and maximum levels back onto your Stockkeeping Units. Forecast and replenishment runs are scheduled through the BC Job Queue, and planners review AI-generated purchase proposals inside a dedicated page before releasing them to the requisition worksheet.

Because ECOSIRE delivers this as a service, scope is honest: we scope against your environment, build the AL objects (table/page extensions, the forecasting codeunit, event subscribers, permission sets), validate forecasts against your real history, install it to sandbox then production, and support it after go-live. Optional Dataverse / Power Platform integration surfaces forecasts in Power BI and Power Apps. Pricing is a one-time build fee; ongoing support and model tuning are quoted separately. No instant download, no fabricated benchmarks — a working extension on your tenant, delivered on an agreed lead time.