A per-tenant AL extension that brings machine-learning demand forecasting and dynamic safety-stock/reorder-point optimization to Dynamics 365 Business Central. Built, installed, and supported by ECOSIRE on your own BC environment. Built to order by ECOSIRE for Dynamics 365 BC (build-to-order) — indicative price from $499.00 USD; request a quote for a scoped proposal.
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A per-tenant AL extension that brings machine-learning demand forecasting and dynamic safety-stock/reorder-point optimization to Dynamics 365 Business Central. Built, installed, and supported by ECOSIRE on your own BC environment.
Sin configuración por tu cuenta: una app funcional creada, instalada y con soporte de ECOSIRE.
Empieza con un precio único de desarrollo. Definimos el alcance contigo en el arranque.
ECOSIRE la crea, la configura y la instala en tu Dynamics 365 Business Central.
Sales en vivo en unas 2–4 semanas, con un periodo de soporte posterior al lanzamiento.
AI Demand Forecasting & Inventory Optimization is a custom Dynamics 365 Business Central extension that replaces guesswork and stale min/max levels with machine-learning forecasts driven by your real sales, consumption, and seasonality.
This is not an instant AppSource download. ECOSIRE builds the extension to fit your item catalog, locations, and planning policies, then installs it as a per-tenant extension (PTE) directly on your Business Central environment (cloud SaaS or on-prem) and supports it afterward. Typical delivery is a few weeks, not minutes — because it's tailored to your data.
The extension reads posted Item Ledger Entries, sales, and consumption history through the BC application layer, then generates statistical and ML forecasts with explicit seasonality and trend decomposition. From those forecasts it computes dynamic safety stock and reorder points per item/variant/location, tuned to a target service level rather than a fixed buffer everyone copied years ago.
Under the hood it ships as AL table and page extensions (new forecast, accuracy, and policy tables surfaced on the Item Card and a dedicated "AI Planning" role center part), event subscribers that hook the requisition/planning worksheet so suggestions flow into native replenishment, and job queue entries that recompute forecasts on a schedule. Forecast computation can run inside BC or call out to an ECOSIRE-managed ML scoring gateway over the BC REST/OData v4 API; Dataverse/Power Platform sync is optional for Power BI dashboards.
You also get forecast accuracy and bias tracking (MAPE, bias, tracking signal) so planners can see where the model is trusted and where manual overrides still win. Permission sets, telemetry, and an upgrade-safe codeunit structure are included so the app survives BC's monthly updates. ECOSIRE owns the build, the install, and ongoing support.
Owns the forecast and replenishment plan. Wants ML-driven forecasts with visible accuracy and bias, plus the ability to override for promotions and new products — instead of maintaining hundreds of manual min/max levels in Business Central.
Accountable for service levels and working capital. Needs dynamic safety stock tied to a target service level so stockouts and dead stock both come down, with suggestions flowing into the planning worksheet they already use.
Responsible for the BC environment. Wants a clean per-tenant extension with proper permission sets, job queue scheduling, telemetry, and upgrade-safe code — not unmanaged customizations that break on the next monthly update.
| Criterio | ECOSIRE | Construcción personalizada | Competidor | Odoo Nativo |
|---|---|---|---|---|
| ML demand forecasting with seasonality & trend decomposition | Incluido | Apoyo parcial | Apoyo parcial | |
| Dynamic safety stock & reorder points tied to a target service level | Incluido | Apoyo parcial | Apoyo parcial | |
| Suggestions written into native requisition/planning worksheets | Incluido | Incluido | Apoyo parcial | |
| Forecast accuracy & bias tracking (MAPE, bias, tracking signal) | Incluido | Apoyo parcial | Apoyo parcial | |
| Built, installed & supported for you on your tenant (no in-house AL team needed) | Incluido | No incluido | No incluido | |
| Tailored to your item catalog, locations & planning policies | Incluido | Incluido | No incluido | |
| Upgrade-safe per-tenant extension with telemetry & permission sets | Incluido | Apoyo parcial | Incluido | |
| Manual override & forecast locking for promotions / NPI | Incluido | Apoyo parcial | Apoyo parcial |
It is not an instant AppSource download. ECOSIRE builds the extension to fit your item catalog, locations, and planning policies, then installs it as a per-tenant extension on your Business Central environment. Typical delivery is a few weeks depending on data quality and the number of item/location combinations. We confirm a firm lead time after a short scoping call and a look at your sales and consumption history.
After go-live ECOSIRE provides support and keeps the extension compatible with BC's monthly platform updates under an agreed support window. The code uses an upgrade-safe codeunit and interface structure plus Application Insights telemetry so we catch failed forecast runs or scoring-latency issues early. Fixes, model retuning, and minor enhancements are handled as part of the support arrangement; larger new capabilities are scoped separately.
Both options are supported. Lighter statistical and seasonal models can run inside BC on a job queue schedule. For heavier machine-learning models, the extension calls an ECOSIRE-managed ML scoring gateway over the BC REST/OData v4 API and writes results back into your forecast tables. We choose the approach based on your catalog size, accuracy needs, and data-residency requirements.
It reads posted Item Ledger Entries, sales lines, and consumption history already in Business Central, so no external data warehouse is required to start. More history (ideally 18–24 months) and clean item/variant/location structure produce stronger seasonality detection. During scoping we assess your history depth and flag any data gaps that would affect forecast quality before we build.
It complements native planning rather than replacing the engine. Forecasts and dynamic safety-stock/reorder-point suggestions are written into the standard requisition and planning worksheets via event subscribers, so your team keeps the BC workflow they know. You can run it alongside existing reordering policies and adopt suggestions item group by item group, with manual override and forecast-locking for events the model can't see.
Yes. The extension tracks forecast accuracy and bias (MAPE, bias %, tracking signal) on a dedicated table and an Item Card factbox, so planners can see exactly where the model is reliable. Planners can override any suggestion and lock forecasts for promotions or new product introductions, and those overrides are preserved on the next recompute.
A per-tenant AL extension that brings machine-learning demand forecasting and dynamic safety-stock/reorder-point optimization to Dynamics 365 Business Central. Built, installed, and supported by ECOSIRE on your own BC environment.