A custom-built Shopify app that forecasts demand per SKU, calculates reorder points, and auto-generates purchase orders so you stop tying up working capital in stockouts and dead stock. Built, installed and supported by ECOSIRE. One-time license from $499.00 USD for Shopify (build-to-order) — includes 12 months of updates and support.

A custom-built Shopify app that forecasts demand per SKU, calculates reorder points, and auto-generates purchase orders so you stop tying up working capital in stockouts and dead stock. Built, installed and supported by ECOSIRE.
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。
AI Demand Forecasting & Replenishment is a build-to-order Shopify app that ECOSIRE designs, builds, installs into your store, and supports — it is not an instant App Store download. After purchase we scope your catalog, locations and supplier terms, then ship a private app wired into your Shopify Admin.
SKU-level 12-month rolling demand forecast generated from your Shopify order and fulfillment history via the Admin GraphQL API
Explicit seasonality and trend modelling so seasonal peaks and growth curves are reflected in reorder timing
Dynamic reorder-point and safety-stock calculation per SKU, factoring real supplier lead times and minimum order quantities
Automated draft purchase-order generation grouped by supplier, ready for buyer review and approval inside the admin
Dead-stock and overstock detection that flags SKUs trapping working capital before you reorder them again
Multi-location inventory support — forecasts and reorder points computed per Shopify location, not just store-wide
The app reads your historical orders, fulfillments and current stock through the Admin GraphQL API, then trains a per-SKU model that produces a rolling 12-month demand forecast with explicit seasonality and trend components. From those forecasts it computes dynamic reorder points and safety stock per SKU and per location, respecting your real supplier lead times and minimum order quantities.
When inventory crosses a reorder point, the app auto-generates a draft purchase order grouped by supplier, ready for your buyer to review and approve — no more spreadsheet guesswork. It continuously flags dead stock and overstock so you can mark down or stop reordering before capital is trapped.
It respects Shopify's real architecture: OAuth install, multi-location inventory, inventory_levels/update and orders/create webhooks for near-real-time recalculation, and metafields to store supplier lead times, costs and reorder configuration directly on products and variants.
Because every catalog, supplier setup and replenishment policy differs, we tailor the model and PO logic to your brand rather than forcing a generic template. You get a working app, a walkthrough, and ongoing support and updates from the team that built it. Pricing is a one-time build fee of $499; the deliverable is a functioning, installed app — honest scope, honest timeline, no fabricated guarantees.
Owns reorder decisions across hundreds of SKUs and multiple locations, and is tired of forecasting in spreadsheets. Needs trustworthy per-SKU reorder points and auto-drafted POs that respect supplier lead times.
Watching too much cash get tied up in slow-movers while best-sellers stock out. Wants a system that prevents both overstock and stockouts so capital is freed for growth.
Needs predictable purchasing and visibility into dead stock to plan cash. Values the overstock detection and the audit trail explaining why each PO quantity was recommended.
在 ecosire.com 上购买许可证并从您的帐户仪表板下载 AI Demand Forecasting & Replenishment 模块 ZIP。
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)。
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 AI Demand Forecasting & Replenishment,然后按安装。
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。
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。
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| SKU-level forecast tuned to your specific catalog and history | ||||
| Automated draft purchase-order generation grouped by supplier | ||||
| Reorder points respecting real supplier lead times and MOQs | ||||
| Multi-location per-location forecasting | ||||
| Dead-stock and overstock detection | ||||
| Available instantly with no build/install wait | ||||
| Built, installed and supported for you (no in-house dev needed) | ||||
| No recurring per-seat SaaS subscription required |
No. This is a build-to-order app. After purchase, ECOSIRE scopes your catalog, locations and supplier terms, then builds and installs a private app into your store via OAuth. You are buying a custom-built, installed and supported app — not a self-serve App Store listing.
Typical delivery is roughly 3 to 5 weeks depending on catalog size, number of locations, and how clean your historical order and supplier-lead-time data is. After purchase we confirm a concrete timeline during scoping, then keep you updated through build, install and the walkthrough.
The app is built and supported by the team that wrote it. We provide a support window after handover for fixes and tuning, and offer ongoing maintenance and update arrangements (Shopify API version upgrades, model retuning, new features). Specifics are agreed during scoping; we don't leave you with an unsupported black box.
Accuracy depends on how much sales history a SKU has — established SKUs with seasonal history forecast well, while brand-new SKUs start with conservative defaults and improve as data accumulates. We do not promise a specific accuracy percentage; we tune the model and safety stock to your service-level targets and review the results with you.
Yes. Forecasts and reorder points are computed per Shopify location, and draft purchase orders are grouped by supplier using lead times, costs and MOQs we store in metafields. It reads inventory and orders through the Admin GraphQL API and recalculates via webhooks when stock or orders change.
A custom-built Shopify app that forecasts demand per SKU, calculates reorder points, and auto-generates purchase orders so you stop tying up working capital in stockouts and dead stock. Built, installed and supported by ECOSIRE.