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AI Production Forecasting & Demand Planner — AI demand forecasting for Odoo MRP — predicts requirements, feeds MPS/MRP, and f — 1/1Illustrative preview

AI demand forecasting for Odoo MRP — predicts requirements, feeds MPS/MRP, and flags bias.

Built-to-order for Odoo 17/18/19.

What is AI Production Forecasting & Demand Planner?

AI demand forecasting for Odoo MRP — predicts requirements, feeds MPS/MRP, and flags bias. Built-to-order for Odoo 17/18/19. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $999.00 USD; request a quote for a scoped proposal.

Key Features

ML demand forecasting from your Odoo sales order and delivery history, automatically decomposing trend and multi-period seasonality (weekly/monthly/annual)
Intermittent-demand handling (Croston-style logic) for slow-moving and lumpy SKUs where naive averages fail
Direct forecast feed into Odoo's Master Production Schedule (MPS) — machine-generated demand lines replace manual typing
Replenishment integration: forecasts inform `stock.warehouse.orderpoint` reordering rules and MRP procurement so POs and MOs size to predicted need
SKU-level and product-category-level forecasts, with category rollups reconciled down to individual products
Forecast accuracy tracking with MAPE and bias computed automatically per SKU via `@api.depends` compute fields on the `demand.forecast` model
Bias alerts: automated Discuss/activity notifications and email when a SKU consistently over- or under-forecasts beyond a configurable threshold
Scenario planning — optimistic / base / pessimistic forecast variants a planner can compare and promote into MPS
Scheduled retraining via `ir.cron` automated action (nightly or weekly), so the model always learns from the latest actuals
Interactive forecast-vs-actual dashboards using Odoo pivot, graph, and a custom OWL chart component, filterable by warehouse, category, and horizon
Per-warehouse and per-location forecasting so multi-site manufacturers plan each facility independently
QWeb PDF forecast and accuracy reports for planning reviews and S&OP meetings
Manual override + audit: planners can adjust any forecast line, with the change logged in the chatter for traceability
Role-scoped security via `ir.model.access.csv` and record rules — planners see only their assigned warehouses; managers see all
Configurable forecast horizon and time bucket (daily/weekly/monthly) matched to your production cadence
Optional JSON-RPC/XML-RPC endpoints so external BI or S&OP tools can read forecasts and post actuals back

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

  1. 1

    You order

    Start with a one-time build price. We scope it with you at kickoff.

  2. 2

    We build & install

    ECOSIRE builds, configures and installs it on your Odoo.

  3. 3

    Go live + support

    You go live in about one working week, with two weeks of go-live support. Defects in the code we deliver are fixed free of charge.

Technical Specifications

Odoo Compatibility
Odoo 17, Odoo 18, Odoo 19
Editions
Enterprise & Community
License
Licence confirmation required
Python Requirement
Python 3.10+
Database
PostgreSQL 12+

About this Product

Most SMB manufacturers still plan production the same way they did a decade ago: a spreadsheet, a gut-feel safety stock, and a monthly scramble when a bestseller runs dry or a slow mover fills the warehouse. Odoo's Master Production Schedule (MPS) and MRP are excellent execution engines, but they only replenish against the demand numbers you feed them — and if those numbers are a manual guess, MRP faithfully propagates the guess into purchase orders and manufacturing orders.

The AI Production Forecasting & Demand Planner closes that gap. It's a build-to-order Odoo module that learns demand patterns from your own sales history — trend, seasonality, promotions, and intermittent SKUs — and writes machine-generated forecasts directly into Odoo's planning layer. Instead of a planner typing "forecasted demand" by hand into the MPS, a scheduled forecast run populates it, so MRP and reordering rules replenish against a statistically grounded prediction rather than an educated guess.

This is not an app you download and self-install from apps.odoo.com. ECOSIRE designs, builds, and deploys the module against YOUR Odoo database, YOUR product catalog, and YOUR sales patterns. Over a typical one working week engagement we model your data, tune the forecasting logic to your SKUs, wire it into MPS/MRP, and hand you a documented, tested, supported module you own.

Under the hood it's real Odoo engineering, not a bolt-on. A custom demand.forecast model (a proper models.Model with stored and @api.depends computed fields) holds forecasts per product, location, and period. An ir.cron automated action runs the ML pipeline on a schedule you choose (nightly or weekly). Forecast values are pushed into product.mps / the MPS demand line and made available to stock.warehouse.orderpoint so replenishment reflects the prediction. Every record is governed by ir.model.access.csv plus record rules so planners see only their warehouses, and dashboards use standard views (list/pivot/graph) plus OWL components for the forecast-vs-actual chart. Accuracy metrics (MAPE, bias) are computed automatically and surfaced as QWeb PDF reports and Discuss/activity alerts when a SKU's forecast drifts.

The result: fewer stockouts on the products that actually sell, less cash frozen in overproduced slow movers, and a planning process that improves every month as the model retrains on fresh actuals. It runs on Odoo 17, 18, and 19, on Community or Enterprise (MPS itself is a Community feature), and integrates with the Manufacturing, Inventory, Sales, and Purchase apps you already run.

What you get

  • Complete, installable Odoo module (with `__manifest__.py`, models, views, security, reports, and the ML forecasting pipeline) targeting your Odoo 17, 18, or 19 version
  • Data modeling and tuning against your real sales history — seasonality, trend, and SKU classification calibrated to your catalog
  • MPS/MRP integration configured and validated in your database, so forecasts drive actual replenishment
  • Deployment to your environment (staging first, then production) including the `ir.cron` schedule and access-control setup
  • Technical documentation: module architecture, data model, configuration guide, and a runbook for retraining and troubleshooting
  • Live training session for your planning team on reading forecasts, running scenarios, applying overrides, and acting on bias alerts
  • A defined post-go-live support & warranty window for bug fixes and tuning adjustments
  • Source code ownership — you receive the full module code in your repository, no vendor lock-in or per-seat licensing

Who this is for

SMB Manufacturing Planner / Demand Planner

Owns the monthly production and purchasing plan and is tired of guessing safety stock in spreadsheets. Wants Odoo's MPS to be fed by a defensible forecast instead of gut feel, and needs visibility into which SKUs the model gets right or wrong.

Operations / Supply Chain Manager

Accountable for service levels and working capital at the same time. Fights the stockout-vs-overstock trade-off constantly and needs SKU- and category-level forecasts, scenario planning, and accuracy metrics to defend inventory decisions in S&OP reviews.

Odoo IT / ERP Administrator

Responsible for the Odoo instance and wary of unsupported third-party apps. Wants a clean, documented module that respects Odoo conventions (proper models, security records, crons), installs across 17/18/19, and comes with a support contact rather than a mystery zip file.

How AI Production Forecasting & Demand Planner Compares

CriterionECOSIRECustom BuildCompetitorOdoo Native
Forecasting methodML on your sales history — trend, seasonality, and intermittent-demand handling, tuned to your SKUsWhatever your developer builds; quality depends entirely on their forecasting expertiseFixed statistical method baked into the app, not tuned to your dataNot included
Feeds Odoo MPS/MRP automaticallyYes — machine-generated forecasts written into MPS demand lines and reordering rulesPossible, but you pay to design and build the integration from scratchSometimes; varies by app and often needs manual export/importPartial support
Forecast accuracy & bias trackingBuilt in — MAPE and bias per SKU via compute fields, plus automated drift alertsOnly if explicitly scoped and builtBasic or absent in most marketplace appsNot included
Scenario planning (optimistic/base/pessimistic)Included — compare variants and promote one into MPSExtra build effort on top of base forecastingRarely offeredNot included
Fit to your catalog & processesPurpose-built against your data, warehouses, and cadence during a one working week engagementFully bespoke, but you carry all specification and QA riskGeneric — you adapt your process to the app's assumptionsPartial support
Support, ownership & version coverageFull source ownership, documentation, training, warranty window; runs on Odoo 17/18/19You own it but also own all future maintenance and bugs aloneVendor-dependent; may lag Odoo version upgrades or be abandonedPartial support
Time to valueBuilt, integrated, and supported in ~one working week — no self-implementationMonths, plus hiring or diverting a skilled Odoo/ML developerFast to install but slow to trust; tuning and integration are on youPartial support

Frequently Asked Questions about AI Production Forecasting & Demand Planner

How long until the module is delivered and live?

This is a build-to-order engagement, not an instant download. Typical delivery is one working week from kickoff, depending on the state of your sales history and how deep the MPS/MRP integration needs to go. We work in stages: data assessment and forecast modeling first, then module build, then deployment to a staging database for your sign-off, and finally production go-live. You'll have checkpoints along the way rather than a single hand-off at the end.

What support and updates do I get after go-live?

Every engagement includes a defined post-go-live support and warranty window for bug fixes, forecast tuning, and questions from your team. Because you receive the full source code, the module is yours to keep and extend. We also offer ongoing support and Odoo version-upgrade retainers (for example, moving your build from Odoo 17 to 18 or 19) as a separate arrangement so the forecasting logic keeps working across future Odoo releases.

Does this work on Odoo Community or only Enterprise?

It works on both. The Master Production Schedule (MPS), MRP, reordering rules, and the ORM/security/cron building blocks we rely on are available in Odoo Community, and the module targets Odoo 17, 18, and 19. If you're on Enterprise, it also plays cleanly with the Enterprise Manufacturing and Inventory features. We confirm the exact edition and version during scoping so the delivered build matches your instance.

How accurate will the forecasts be, and what data do you need?

We don't publish a blanket accuracy number because it depends entirely on your demand patterns — steady, seasonal products forecast far better than brand-new or highly erratic SKUs. What we do commit to is measuring accuracy honestly: the module computes MAPE and bias per SKU automatically and shows forecast-vs-actual so you can see where it performs well and where human judgment should override it. For modeling we typically want 12–24 months of Odoo sales/delivery history; the more clean history you have, the stronger the seasonal signal.

Will this interfere with my existing MRP, reordering rules, or manufacturing setup?

No. The module writes forecasts into the planning layer (MPS demand and forecast inputs) and leaves your MRP execution, BoMs, routings, and reordering-rule logic intact — MRP simply replenishes against better numbers. Planners keep full manual override on every forecast line, changes are logged in the chatter, and access is scoped by record rules so nobody sees warehouses they shouldn't. We deploy to staging first and validate against your real data before anything touches production.

Can we adjust forecasts and run what-if scenarios ourselves?

Yes. Planners can edit any forecast line directly, and the module ships with optimistic/base/pessimistic scenario variants you can compare side by side and promote into the MPS. Every override is auditable. If you later want new scenario logic or additional drivers (promotions, new-product introductions, external demand signals), those extend the same `demand.forecast` model — and since you own the code, either your team or ECOSIRE can build them.

Request a quote

AI Production Forecasting & Demand Planner

AI demand forecasting for Odoo MRP — predicts requirements, feeds MPS/MRP, and flags bias. Built-to-order for Odoo 17/18/19.

  • ML demand forecasting from your Odoo sales order and delivery history, automatically decomposing trend and multi-period seasonality (weekly/monthly/annual)
  • Intermittent-demand handling (Croston-style logic) for slow-moving and lumpy SKUs where naive averages fail
  • Direct forecast feed into Odoo's Master Production Schedule (MPS) — machine-generated demand lines replace manual typing
  • Replenishment integration: forecasts inform `stock.warehouse.orderpoint` reordering rules and MRP procurement so POs and MOs size to predicted need

Request a Quotation

Tell us about your AI Production Forecasting & Demand Planner requirements and we'll send pricing, licensing options and a tailored proposal — usually within one business day.

No payment now. This sends a quote request to our team — we'll follow up by email with pricing and next steps.