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イメージプレビューCustom-built Odoo workshop module for fleets:
service intervals, job-order workflow, technician checks and parts consumption per repair.
Fleet Repair & Workshop Service Centerとは?
Custom-built Odoo workshop module for fleets: service intervals, job-order workflow, technician checks and parts consumption per repair. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $999.00 USD; request a quote for a scoped proposal.
主な機能
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
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
構築とインストール
ECOSIRE がお客様の Odoo 上で構築・設定・インストールします。
- 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
- Odoo互換性
- Odoo 17, Odoo 18, Odoo 19
- エディション
- Enterprise&Community
- 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
- PostgreSQL 12+
この製品について
Fleet Repair & Workshop Service Center is a build-to-order Odoo application ECOSIRE designs, builds, installs and supports for companies that maintain their own vehicles instead of outsourcing every repair. This is not an instant apps.odoo.com download — after purchase our engineers develop the module against your Odoo database, tailor the workflow to how your workshop actually runs, and hand it over installed and working within a typical one working week lead time.
The module extends Odoo's native Fleet app rather than replacing it. Vehicles you already track (fleet.vehicle) gain service-interval definitions, odometer and time-based triggers, and a linked maintenance history so every truck, van or forklift carries its own repair record. A new job-order model (built on models.Model with proper fields, @api.depends computed totals and state-machine stages) drives each repair from request through diagnosis, technician assignment, inspection checklist, parts consumption and close-out — mirroring the same disciplined flow a commercial garage uses, but pointed inward at your own fleet.
Preventive maintenance is enforced through Odoo automated actions (ir.cron / base.automation): when a vehicle crosses its mileage interval or a scheduled date arrives, the system raises an alert and can auto-create a draft job order so nothing slips. Spare-parts consumption posts against Odoo Inventory (stock.move / stock.picking) so every part fitted decrements real stock and rolls up into an accurate per-vehicle and per-job cost. Access is governed by ir.model.access.csv plus record rules so technicians see their assigned jobs while fleet managers see the whole workshop, and QWeb PDF reports produce printable job cards and vehicle service histories. Everything is exposed over Odoo's XML-RPC/JSON-RPC API for integration with telematics or your existing systems.
We build for Odoo 17, 18 and 19 and work on both Community and Enterprise. You get the source code, a walkthrough of the data model, configuration tuned to your fleet, user training, and a post-delivery support window. Because we author the module, you are never boxed in by a third-party app's assumptions — the workflow, checklists, fields and reports match how your team works.
得られるもの
- Complete, commented Odoo module source code (models, views, security, reports) delivered as an installable addon with a versioned __manifest__.py
- Installation and deployment on your Odoo 17, 18 or 19 instance (Community or Enterprise), verified working end to end
- Configuration tailored to your fleet — service intervals, inspection checklists, job stages, technician roles and parts categories set up with you
- Security configuration: ir.model.access.csv access rules and record rules mapped to your actual team structure
- Branded QWeb report templates (job card + vehicle service history) matched to your document layout
- Technical handover document describing the data model, key fields, computed logic and the XML-RPC/JSON-RPC endpoints
- Live training session for workshop staff and fleet managers, plus a written user guide
- Post-delivery support window for bug fixes and questions, with a defined update and maintenance path
これは誰のためのものですか
Fleet & Workshop Manager
Runs an in-house garage for a logistics or transport company and needs one place to schedule preventive maintenance, track every repair from request to sign-off, and prove vehicles are road-worthy — without babysitting spreadsheets.
Operations Director (Transport / Rental)
Owns fleet uptime and cost. Wants preventive alerts to cut breakdowns, accurate per-vehicle maintenance cost, and clean audit-ready service histories, all living inside the Odoo the business already runs.
Maintenance Technician
Does the hands-on work and needs a simple job view: assigned repairs, diagnosis notes, an inspection checklist to complete, and parts to draw from stock — logged once, no duplicate paperwork.
Inventory / Store Keeper
Manages the spare-parts store and needs every part fitted to a job to decrement real Odoo stock automatically, so re-order points and parts costs stay accurate.
Fleet Repair & Workshop Service Center の比較方法
| 基準 | エコシエール | カスタムビルド | 競合他社 | Odoo 標準機能 |
|---|---|---|---|---|
| Fits your exact fleet workflow (stages, checklists, fields) | Built to match your process precisely | Possible but you own the whole build effort | Fixed to the vendor's assumptions | Generic Fleet app only, no repair workflow |
| Repair job-order workflow (request → diagnosis → inspection → done) | Full state-machine job order included | Must be designed and coded from scratch | Varies; often partial or rigid | Not available in core Fleet |
| Preventive maintenance alerts (mileage + date triggers) | Automated via ir.cron, auto-drafts job orders | You build the cron and trigger logic | Sometimes, quality varies | Basic service reminders only |
| Spare-parts consumption tied to real Inventory stock | Posts stock.move, decrements stock, costs roll up | You wire the stock integration yourself | Often manual or add-on required | No parts-to-job link |
| Odoo version coverage (17 / 18 / 19, Community + Enterprise) | All three, both editions, upgrade-friendly | Depends on your team's discipline | Frequently lags new Odoo releases | Ships with the version, no repair layer |
| Ownership of source code and future changes | You get the source; we can extend it | You own it but carry all maintenance | Locked to vendor, limited changes | Core code, not fleet-repair specific |
| Delivery effort and time to working system | one working week, installed and trained | Months of in-house development | Fast install but rework to fit | Immediate but missing the workflow |
| Support, training and handover | Training, docs and a support window included | Self-supported by your team | Generic vendor support tickets | Community/Enterprise support, not tailored |
Fleet Repair & Workshop Service Center に関するよくある質問
How long does delivery take, and is this an instant download?
This is a build-to-order module, not an instant apps.odoo.com download. After purchase, ECOSIRE engineers develop it against your database and deliver it installed and working. Typical lead time is one working week depending on how many custom checklists, reports and integrations you need. We confirm a firm timeline during the requirements call at kickoff.
What support and updates do I get after delivery?
Delivery includes a post-handover support window covering bug fixes and configuration questions, plus training and a written guide. Because we author the module, we can adapt it as your process changes and keep it compatible when you upgrade Odoo — for example moving from 17 to 18 or 19. Ongoing support and enhancements are available as a maintenance arrangement after the initial window.
Which Odoo versions and editions does it support?
We build for Odoo 17, 18 and 19, on both Community and Enterprise. The module extends the native Fleet and Inventory apps and uses standard Odoo mechanics (models.Model, ir.model.access.csv, record rules, QWeb, automated actions) so it stays upgrade-friendly rather than hacking core.
Will it disrupt the Fleet and Inventory data we already have?
No. It extends Odoo's existing fleet.vehicle and posts parts consumption through standard stock.move records, so your current vehicles, odometer logs and warehouse stock keep working. We install on a staging copy first, verify against your data, then deploy to production.
Can it connect to our telematics/GPS or other systems?
Yes. All the module's data — vehicles, service intervals, job orders and parts lines — is exposed over Odoo's XML-RPC and JSON-RPC API. That lets you push odometer or fault data in from a telematics provider to trigger maintenance automatically, or pull maintenance status out into another system. We scope any specific integration during requirements.
How is spare-parts consumption tracked and costed?
Each part fitted to a job order creates a real inventory movement (stock.move) that decrements warehouse stock, so your store counts stay accurate and re-order points still fire. Part costs plus labour roll up automatically into a computed per-job and per-vehicle total, giving you true maintenance cost per asset for reporting.
Can we customise the inspection checklists and job workflow?
Yes — that is the point of building it for you. Inspection checklists can differ by vehicle type, the job-order stages match your actual approval flow, and fields, priorities and reports are tailored during configuration. If you later need a new stage or checklist item, it's a straightforward change because we hold the source.
関連モジュール
Fleet Repair & Workshop Service Center
Custom-built Odoo workshop module for fleets: service intervals, job-order workflow, technician checks and parts consumption per repair.
- Fleet vehicle registry that extends Odoo's native fleet.vehicle with per-asset service intervals, warranty data and full maintenance history
- Dual service-interval triggers — odometer/mileage thresholds and calendar dates — computed with @api.depends and refreshed by an ir.cron scheduled job
- Preventive maintenance alerts that surface due and overdue vehicles on a dashboard and can auto-generate draft job orders via automated actions
- Structured repair workflow with a state machine: Request → Diagnosis → Approved → In Progress → Inspection → Done, enforced on a custom job-order model



