产品详细信息以英文显示。翻译即将推出。
速览
- 价格
- $499.00 USD
- dynamics_365_business_central 版本
- —
- 设置时间
- 30分钟
- 许可证
- 一次永久
- 语言
- 11 语言
一次性购买
Demand Forecasting & Inventory Optimization
A custom-built Dynamics 365 Business Central extension that converts your BC sales history into AI-driven demand forecasts, optimized safety-stock and reorder points, and automated purchase proposals — engineered, installed per-tenant, and supported by ECOSIRE.
$499.00USD
现在无需付款。此操作会向我们的团队发送报价请求——我们会通过邮件跟进价格和后续步骤。
核心功能
Statistical baselines (moving average + exponential smoothing) combined with an AI demand model trained on your BC sales history
Seasonality and trend modeling per item / item-category / location, configurable to your planning calendar
Safety-stock, reorder-point, and maximum-inventory optimization written directly to Stockkeeping Unit records
AI-generated purchase and transfer proposals reviewed on a dedicated BC page before release to the requisition worksheet
Stock-out and excess-inventory alerts surfaced via Business Central notifications and a planner role-center cue
Scheduled forecast and replenishment runs orchestrated through the BC Job Queue with run logs
Delivered as a per-tenant AL extension using table extensions, page extensions, codeunits, and event subscribers
Vendor lead-time and order-multiple (lot-sizing) awareness so proposals respect real purchasing constraints
Dedicated permission sets so planners, buyers, and admins get least-privilege access to forecasting features
Forecast accuracy tracking (actual vs. forecast) so you can monitor and improve model quality over time
Optional Dataverse / Power Platform sync to expose forecasts in Power BI dashboards and Power Apps
Optional OData/REST API endpoints to feed forecast and replenishment data to external systems
关于此产品
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.
为什么选择 Demand Forecasting & Inventory Optimization
Statistical baselines (moving average + exponential smoothing) combined with an AI demand model trained on your BC sales history
Seasonality and trend modeling per item / item-category / location, configurable to your planning calendar
Safety-stock, reorder-point, and maximum-inventory optimization written directly to Stockkeeping Unit records
AI-generated purchase and transfer proposals reviewed on a dedicated BC page before release to the requisition worksheet
Stock-out and excess-inventory alerts surfaced via Business Central notifications and a planner role-center cue
Scheduled forecast and replenishment runs orchestrated through the BC Job Queue with run logs
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.
你得到什么
- A per-tenant Business Central AL extension (.app) built for your item catalog, locations, and replenishment policies
- Installation to your BC sandbox for validation, then promotion to production after sign-off
- Custom permission sets for planner, buyer, and administrator roles
- Configured Job Queue entries for scheduled forecast and replenishment runs
- Forecast validation report comparing model output against a holdout window of your real sales history
- Source AL code and a deployment/runbook document, plus optional Dataverse/Power BI integration if scoped
- Knowledge-transfer session for your supply-chain team and a defined post-go-live support window
这是给谁的
Supply-Chain Planner
Owns the replenishment cycle and wants reorder proposals that already account for seasonality, lead time, and safety stock instead of recalculating in spreadsheets each week.
Inventory / Warehouse Manager
Needs to cut stock-outs and dead stock simultaneously, and wants reliable safety-stock and reorder-point targets pushed onto Stockkeeping Units automatically.
Operations / Finance Director
Wants working capital tied up in inventory reduced without service-level risk, and a transparent, auditable forecasting process that lives inside Business Central rather than off-system.
安装概述
从ECOSIRE下载
在 ecosire.com 上购买许可证并从您的帐户仪表板下载 Demand Forecasting & Inventory Optimization 模块 ZIP。
上传至Odoo
将 ZIP 解压到服务器上的 Odoo 自定义插件文件夹中（或通过“应用程序”>“从 Odoo.sh / runbot 上的文件安装”上传）。
安装模块
激活开发者模式，打开应用程序，单击更新应用程序列表，搜索 Demand Forecasting & Inventory Optimization，然后按安装。
配置设置
打开新菜单，粘贴您的 ECOSIRE 许可证密钥，连接任何外部凭据（Shopify、Amazon、Stripe 等），然后保存。
验证并上线
运行内置连接测试，同步前 10 条记录，并安排定期 cron。如果出现任何问题，请联系支持人员。
Demand Forecasting & Inventory Optimization 如何比较
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| Tailored to your exact item catalog, locations, and replenishment policies | 包含 | 包含 | 部分支持 | |
| AI seasonality & trend modeling beyond a single-granularity forecast | 包含 | 部分支持 | 部分支持 | |
| Optimizes safety stock & reorder points and writes them to Stockkeeping Units | 包含 | 部分支持 | 部分支持 | |
| Automated purchase/transfer proposals into the requisition worksheet | 包含 | 部分支持 | 部分支持 | |
| Installed, validated, and supported by the vendor on your tenant | 包含 | 不包括在内 | 部分支持 | |
| No in-house AL developer required to build or maintain it | 包含 | 不包括在内 | 包含 | |
| Source AL code handed over to you | 包含 | 包含 | 不包括在内 | |
| Optional Dataverse / Power BI forecast integration | 包含 | 部分支持 | 部分支持 |
关于Demand Forecasting & Inventory Optimization的常见问题
Is this an instant AppSource download?
No. This is a build-to-order extension. ECOSIRE scopes it against your Business Central environment, builds the AL objects, validates forecasts against your real sales history, then installs it as a per-tenant extension to your sandbox and production. You get a working, tailored app on your own tenant — not a one-click marketplace install.
What is the typical delivery lead time?
A standard build is usually delivered in roughly 3 to 6 weeks after we confirm scope and gain access to your BC sandbox. Lead time depends on catalog size, number of locations, data quality of your sales history, and whether Dataverse/Power BI integration is included. We give you a firm timeline in the scoping call before any work starts.
How does ongoing support and updates work?
The $499 is a one-time build fee. After go-live we offer a support window for defect fixes, and an optional ongoing plan covering BC version upgrades, model re-tuning as your demand patterns change, and enhancements. Because we hold the source AL, we can also re-compile and re-deploy the extension when Microsoft ships new BC major versions.
Does it work alongside Business Central's standard planning?
Yes. The extension is additive — it writes optimized reorder points, safety stock, and maximum levels onto your Stockkeeping Units and feeds proposals into the standard requisition worksheet, so your existing planning and purchasing workflows still apply. We don't replace BC's MRP/MPS engine; we make its inputs smarter.
What data and access do you need to build it?
We need access to a BC sandbox containing representative posted sales history (posted sales invoice/shipment lines), your item and Stockkeeping Unit setup, location structure, and vendor lead-time data. The more history and the cleaner the data, the more accurate the seasonality and trend modeling. All access is scoped and removed after handover per your security policy.
相关模块
申请报价
Demand Forecasting & Inventory Optimization
A custom-built Dynamics 365 Business Central extension that converts your BC sales history into AI-driven demand forecasts, optimized safety-stock and reorder points, and automated purchase proposals — engineered, installed per-tenant, and supported by ECOSIRE.
- Statistical baselines (moving average + exponential smoothing) combined with an AI demand model trained on your BC sales history
- Seasonality and trend modeling per item / item-category / location, configurable to your planning calendar
- Safety-stock, reorder-point, and maximum-inventory optimization written directly to Stockkeeping Unit records
- AI-generated purchase and transfer proposals reviewed on a dedicated BC page before release to the requisition worksheet