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Demand Forecasting & Auto-Replenishment for ERPNext — A build-to-order ERPNext application that forecasts demand with statist — 1/1イメージプレビュー

A build-to-order ERPNext application that forecasts demand with statistical models,

calculates dynamic safety stock and reorder points, and auto-generates purchase orders and material requests across all your warehouses.

ECOSIRE builds, installs, and supports it — quotation-based, not an instant download.

Demand Forecasting & Auto-Replenishment for ERPNextとは?

A build-to-order ERPNext application that forecasts demand with statistical models, calculates dynamic safety stock and reorder points, and auto-generates purchase orders and material requests across all your warehouses. ECOSIRE builds, installs, and supports it — quotation-based, not an instant download. Built to order by ECOSIRE for ERPNext v15, v16 — indicative price from $999.00 USD; request a quote for a scoped proposal.

主な機能

Holt-Winters exponential smoothing with additive and multiplicative seasonality computed per item-warehouse pair from Stock Ledger consumption history
Dynamic safety-stock calculation driven by target service level, demand variability, and supplier lead-time variance — recalculated on schedule, not typed once
Rolling reorder-point engine that replaces ERPNext's static Item Reorder Level with a demand-aware threshold
Multi-warehouse replenishment planning that nets on-hand, reserved, and incoming quantity across your full warehouse tree
Auto-generated draft Material Requests for inter-warehouse transfers and Purchase Orders for external procurement via ERPNext's standard document builders
Supplier-and-warehouse grouping so a single Replenishment Run consolidates shortfalls into the fewest correct orders
What-if simulation up to 24 months flexing growth, seasonality, and lead-time assumptions before any document is committed
Custom DocTypes (Forecast Profile, Demand Forecast, Replenishment Run) with full list/report/dashboard views inside ERPNext
Scheduler events registered in hooks.py for hands-off nightly or weekly recompute, plus on-demand runs
Whitelisted server methods exposed over the Frappe REST API for triggering runs and pulling forecast data into external BI
hooks.py doc events and server scripts that keep forecasts in sync when Items, BOMs, or lead times change
Client scripts adding an approve/adjust review step so planners edit quantities before submit — no blind auto-submit unless enabled
Forecast-accuracy tracking (MAPE/bias) per profile so planners can see and tune model performance over time
Role-profile and permission-aware access so buyers, planners, and warehouse managers see only what they should
ABC/velocity classification to apply different service levels and review cadences to A, B, and C items

受注生産、すべておまかせ

自分での設定は不要 — ECOSIRE が構築・インストール・サポートする実働アプリです。

  1. 1

    ご注文

    一回限りの構築料金から始めます。キックオフで一緒に範囲を決めます。

  2. 2

    構築とインストール

    ECOSIRE がお客様の ERPNext 上で構築・設定・インストールします。

  3. 3

    本番稼働 + サポート

    約1週間(営業日ベース)で稼働し、本番稼働後2週間のサポートが付きます。納品したコードの不具合は無償で修正します。

技術仕様

ERPNext互換性
—
ライセンス
ライセンスの確認が必要です
Python要件
Python 3.10+
データベース
MariaDB 10.6+

この製品について

Distributors and retailers running ERPNext know the trap: stockouts on your fastest movers while cash sits frozen in slow-moving overstock. ERPNext core gives you a static Reorder Level on each Item and a basic Reorder Report, but those thresholds are hand-typed and go stale the moment demand shifts. There is no native seasonality modelling, no service-level-driven safety stock, and no way to see the replenishment picture across ten warehouses at once. Planners end up exporting Stock Ledger data to spreadsheets every week and guessing — which is exactly where the errors and the tied-up capital come from.

ECOSIRE builds a proper Frappe application (a custom app in your bench with its own module) that closes this gap. We add DocTypes such as Forecast Profile, Demand Forecast, and Replenishment Run that sit alongside your existing Item, Warehouse, and Stock Ledger Entry data. A scheduler event (registered in hooks.py under scheduler_events) periodically pulls consumption history and computes forecasts using exponential smoothing with additive/multiplicative seasonality (Holt-Winters), so each item-warehouse pair gets a demand curve rather than a fixed number. From that curve and your chosen service level, the app derives dynamic safety stock and a rolling reorder point, then compares them against projected available quantity (on-hand less reserved plus incoming).

When a line falls below its dynamic reorder point, the Replenishment Run groups the shortfalls by supplier and warehouse and drafts the right documents — a Material Request for inter-warehouse transfer or a Purchase Order for outside procurement — using ERPNext's standard document APIs so lead times, default suppliers, and UoM conversions all flow through natively. Whitelisted methods (exposed over the Frappe REST API) let planners trigger an ad-hoc run or pull forecast data into dashboards, and a client script adds an approve/adjust step so nothing is auto-submitted without a human unless you want it to be. A what-if simulator lets planners flex growth, seasonality, and lead-time assumptions up to 24 months out and see the resulting order plan before committing. Everything respects ERPNext role profiles and permissions, and is built for Frappe/ERPNext v15 and v16.

Because this is build-to-order, we start with a scoping call to confirm your item classes, warehouse topology, service-level targets, and supplier rules, then build against your exact ERPNext version on a staging bench. Typical delivery is one working week from confirmed scope. You get the full installable source, UAT on staging with a rollback plan, documentation, a training session, and a post-go-live support window — plus the git repository so the app is yours to keep and extend.

得られるもの

  • Installable Frappe app source code built and pinned to your ERPNext version (v15 or v16)
  • Installation and configuration on your bench, including scheduler-event setup and forecast-profile seeding
  • Technical documentation covering DocTypes, whitelisted methods, hooks, and the forecasting model
  • Planner user guide plus a live training session for your buying/planning team
  • UAT on a staging bench with a documented rollback plan before production cutover
  • Post-go-live support window for bug fixes and tuning after launch
  • Git repository handover so the app is yours to own, host, and extend
  • Configuration workbook capturing service levels, lead times, supplier rules, and warehouse topology

これは誰のためのものですか

Distribution planning manager

Runs replenishment for a multi-warehouse distributor on ERPNext and is tired of exporting Stock Ledger data to spreadsheets. Needs demand-aware reorder points and one consolidated order plan across all sites, not per-item static thresholds.

Retail inventory / buying lead

Manages seasonal, fast-moving SKUs across stores and a central DC. Needs seasonality-aware forecasts, service-level-driven safety stock, and auto-drafted POs and transfer requests so buyers approve rather than hand-calculate.

ERPNext operations / IT owner

Owns the ERPNext instance and wants a properly-built Frappe app with clean DocTypes, hooks, and REST endpoints on v15/v16 — installed on staging first, permission-aware, and handed over as a git repo they can maintain.

Supply-chain / finance controller

Wants working capital freed from overstock without risking stockouts. Needs the what-if simulator and forecast-accuracy metrics to justify service-level and safety-stock policy before committing to order plans.

Demand Forecasting & Auto-Replenishment for ERPNext の比較方法

基準エコシエールカスタムビルド競合他社ERPNext 標準機能
Forecasting methodHolt-Winters exponential smoothing with seasonality per item-warehouseWhatever you build; usually starts as spreadsheet logicBasic moving-average, rarely seasonalNone — you type a static Reorder Level
Reorder point & safety stockDynamic, service-level and lead-time-variance driven, auto-recalculatedPossible but you design and maintain the mathOften a fixed value or simple min/maxStatic Item Reorder Level, manually maintained
Multi-warehouse planningNets on-hand/reserved/incoming across the full warehouse treeBuild the netting logic yourselfUsually single-warehouse or limitedPer-item Reorder Report, no cross-site view
Order generationAuto-drafts grouped POs and Material Requests via ERPNext APIsYou wire up the document creationMay create draft orders, less grouping logicManual creation from Reorder Report
What-if simulationUp to 24 months, flex growth/seasonality/lead timeRarely built — extra effortTypically absentNot available
ERPNext fit & handoverNative Frappe app, DocTypes/hooks/REST, git repo handover, v15/v16Depends on your team's Frappe disciplineThird-party app, limited source accessN/A
Support & ownershipPost-go-live support window; you own the sourceYou own it and all maintenanceVendor-controlled updates and roadmapCommunity ERPNext support only
Time to valueBuilt to your scope, typically one working week, tested on stagingMonths of in-house design and testingFast install but often needs heavy tailoringImmediate but manual and error-prone

Demand Forecasting & Auto-Replenishment に関するよくある質問

Is this a ready-made app I can download and install today?

No. This is a build-to-order ERPNext application. ECOSIRE builds it against your exact ERPNext version and your warehouse, item, and supplier setup, then installs and supports it. There is no instant download — it starts with a scoping call and a confirmed scope.

How long does delivery take?

Typical delivery is one working week from confirmed scope. The timeline depends on the number of item classes, warehouse topology, supplier rules, and how much what-if and BI integration you need. We confirm a firm schedule after the scoping call and build on a staging bench before production cutover.

How are updates, ERPNext upgrades, and support handled?

Every engagement includes a post-go-live support window for bug fixes and tuning. Because we hand over the full git repository, the app is yours to maintain. We build for Frappe/ERPNext v15 and v16, and offer optional retainers to keep the app compatible as you upgrade ERPNext or change your forecasting policy.

Which forecasting models do you use?

The default is exponential smoothing with additive or multiplicative seasonality (Holt-Winters), chosen per item based on demand pattern, with safety stock derived from your service-level target and lead-time variance. During scoping we can add ABC-driven model selection or plug in specific methods your team already trusts.

Will it change or break my existing ERPNext data?

No. The app adds its own DocTypes (Forecast Profile, Demand Forecast, Replenishment Run) and reads your Stock Ledger, Item, and Warehouse data without altering core records. It drafts Material Requests and Purchase Orders using ERPNext's standard document APIs, and we test everything on a staging bench with a rollback plan before touching production.

Does it work across multiple warehouses and companies?

Yes. Replenishment planning nets on-hand, reserved, and incoming quantity across your full warehouse tree, and consolidates shortfalls by supplier and warehouse. Multi-company setups are handled during scoping so each company's suppliers, service levels, and permissions are respected.

Can planners review orders before they are placed?

Yes. By default the app drafts documents and adds an approve/adjust review step via a client script, so planners edit quantities before submitting. Fully hands-off auto-submit is available as an option per item class if you want it, gated by role permissions.

見積もりを依頼

Demand Forecasting & Auto-Replenishment

A build-to-order ERPNext application that forecasts demand with statistical models, calculates dynamic safety stock and reorder points, and auto-generates purchase orders and material requests across all your warehouses. ECOSIRE builds, installs, and supports it — quotation-based, not an instant download.

  • Holt-Winters exponential smoothing with additive and multiplicative seasonality computed per item-warehouse pair from Stock Ledger consumption history
  • Dynamic safety-stock calculation driven by target service level, demand variability, and supplier lead-time variance — recalculated on schedule, not typed once
  • Rolling reorder-point engine that replaces ERPNext's static Item Reorder Level with a demand-aware threshold
  • Multi-warehouse replenishment planning that nets on-hand, reserved, and incoming quantity across your full warehouse tree

見積もりを依頼

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