Illustrative previewAuto-build the most efficient Odoo delivery routes by distance,
capacity and time windows to cut miles, fuel and driver hours.
What is Delivery Route Optimization for Odoo?
Auto-build the most efficient Odoo delivery routes by distance, capacity and time windows to cut miles, fuel and driver hours. 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
Built to order, done for you
No DIY setup — a working app, built, installed and supported by ECOSIRE.
- 1
You order
Start with a one-time build price. We scope it with you at kickoff.
- 2
We build & install
ECOSIRE builds, configures and installs it on your Odoo.
- 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
Your Odoo picks the products and confirms the delivery orders — but it has no idea how to actually drive them. Dispatchers still juggle spreadsheets and mental maps, drivers double back across town, capacity is guessed, and customer time windows get missed. Delivery Route Optimization for Odoo closes that gap. It is a build-to-order module that ECOSIRE designs, develops, installs and supports for your specific fleet and delivery model — this is not an instant apps.odoo.com download; we build it around your real stops, vehicles and constraints over a typical one working week lead time.
The module extends your existing stock.picking (delivery) and fleet data with a native routing engine. A new delivery.route model groups the day's outbound orders, and an optimization action sequences every stop into the shortest feasible run — respecting vehicle load capacity, driver shift and customer-requested time windows. Distance and travel-time come from a pluggable routing provider (OpenRouteService, OSRM, Google Maps or Mapbox — chosen with you), so sequencing is traffic- and road-network-aware rather than naive straight-line. Computed fields built with @api.depends keep total distance, estimated duration, load utilization and per-stop ETAs live as stops are added, removed or reordered, and QWeb reports turn each route into a clean printable run sheet and driver manifest.
Everything is engineered to Odoo conventions: proper models.Model definitions, an __manifest__.py declaring dependencies (stock, fleet) and Community/Enterprise compatibility, list/form/map views (XML plus OWL components for the interactive route board), automated actions to auto-build routes on a schedule, and full access control via ir.model.access.csv plus record rules so dispatchers, drivers and managers only see what they should. Optimized routes are exposed over Odoo's XML-RPC/JSON-RPC API and a lightweight endpoint so your driver app or third-party navigation can pull the ordered stop list. We deliver it on Odoo 17, 18 or 19, Community or Enterprise, hand over the source, document it, train your team, and back it with a post-launch support and bug-fix window.
What you get
- Complete, installable Odoo module source (delivery.route models, views, security, reports) targeting your chosen Odoo 17, 18 or 19 edition, with a clean __manifest__.py and versioned repository
- Routing-provider integration configured and tested (OpenRouteService, OSRM, Google Maps or Mapbox), including API-key setup and a fallback strategy
- Configuration of your real constraints — vehicle capacities, depots, delivery zones, time-window rules and driver assignment logic — mapped to your fleet and stock data
- ir.model.access.csv plus record rules defining dispatcher, driver and manager roles, wired to your user groups
- QWeb run-sheet and driver-manifest report templates, plus the XML-RPC/JSON-RPC export documented for your driver app
- Technical + admin documentation and a recorded/live training session for dispatchers and managers, plus a quick driver guide
- A post-launch support and bug-fix window (defined in your order) covering defects, plus a maintenance path for future Odoo version upgrades
Who this is for
Last-Mile Dispatch Manager
Plans the daily delivery board and wants routes auto-built from confirmed Odoo delivery orders instead of dragging pins across a map, cutting planning from hours to minutes while respecting capacity and time windows.
Fleet / Logistics Operations Lead
Owns cost-per-drop and vehicle utilization across a multi-depot fleet, and needs traffic-aware sequencing plus load-balancing so trucks run full, drivers finish inside shift, and fuel and overtime fall.
Field Service / Delivery Driver
Receives one clean, ordered manifest for the day on their phone via the exported route, with addresses, contacts, time windows and turn-by-turn waypoints — no more calling the office to ask which stop is next.
Odoo Admin / IT Owner
Runs the ERP and wants a module built to Odoo conventions — proper ORM models, security via ir.model.access.csv and record rules, JSON-RPC export — that installs cleanly on Community or Enterprise and upgrades across versions.
How Delivery Route Optimization for Odoo Compares
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| Multi-stop optimization with capacity + time windows | Built in, tuned to your fleet and constraints | Possible but you scope and build it from zero | Varies; often distance-only, weak on time windows | Not included |
| Traffic/road-network-aware sequencing | Pluggable ORS/OSRM/Google/Mapbox wired for you | You must integrate and maintain a provider yourself | Partial support | Not included |
| Fit to your depots, vehicles and delivery model | Configured to your real data during the build | Fully yours, at full custom cost and timeline | Generic; you bend your process to fit it | Not included |
| Odoo-native models, security & views | Proper ORM, ir.model.access.csv, record rules, OWL/QWeb | Depends entirely on your developer's discipline | Partial support | Partial support |
| Driver-app / navigation export (XML-RPC/JSON-RPC) | Ordered-stop JSON + RPC export delivered | Build the API layer yourself | Not included | Not included |
| Delivery lead time to a working solution | Typical one working week, fixed milestones | Months of spec, build, test | Instant install but then heavy config/limits | Immediate but no optimization at all |
| Post-launch support, source handover & upgrades | Support window + full source + 17→18→19 upgrade path | Only if you retain the original developer | Vendor-dependent; renewal fees, no source | Standard Odoo support, no routing feature |
| Automated overnight route building | Scheduled automated action from confirmed deliveries | You implement the cron/automation | Partial support | Not included |
Frequently Asked Questions about Delivery Route Optimization
Is this a ready-made module I download instantly after paying?
No. Delivery Route Optimization is a build-to-order module. After purchase, ECOSIRE builds, configures and installs it around your actual fleet, depots, capacities and delivery model — it is not an instant apps.odoo.com download. You receive a working, tailored module plus its source code, not a generic zip you install yourself blind.
How long until it is delivered and live in my Odoo?
Typical lead time is one working week from a short kickoff call where we confirm your Odoo version/edition, routing-provider choice, vehicle constraints and time-window rules. Simpler single-depot setups land nearer 2 weeks; multi-depot, driver-app integration and heavy customization move toward 4 weeks. We agree a milestone schedule up front so you always know the delivery date.
What support and updates come with it after go-live?
Every build includes a post-launch support and bug-fix window (its length is stated in your order) covering defects and questions. Because we hand over the full source, you are never locked in. When Odoo releases a new major version (17 to 18 to 19), we offer a maintenance/upgrade path to migrate the module, and we can add features or extend the support window under a maintenance agreement.
Which routing engine do you use and do I need to pay for it separately?
The module is provider-pluggable. During the build we wire it to OpenRouteService, OSRM (self-hostable and free), Google Maps or Mapbox depending on your accuracy, coverage and budget needs. If you choose a paid API like Google Maps, that key and any usage fees are billed by that provider to you; we set it up, test it and can implement caching to keep call volume and cost low.
Does it work with my Odoo version and edition, and my existing fleet data?
Yes. We build it for Odoo 17, 18 or 19, on Community or Enterprise. It extends your existing delivery orders (stock.picking) and fleet (fleet.vehicle) rather than replacing them, and reuses your contacts and warehouse/location data. The __manifest__.py declares the right dependencies so it installs cleanly alongside your current apps without touching core Odoo code.
How do drivers actually get the optimized route?
Each optimized route is available as a printable QWeb run sheet and driver manifest, and is exposed over Odoo's XML-RPC/JSON-RPC API plus a JSON endpoint. That means your driver app, a mobile PWA, or a navigation tool can pull the ordered stop list with addresses, contacts, time windows and waypoints. If you don't have a driver app yet, we can scope a lightweight one as an add-on.
Can it enforce vehicle capacity and multiple depots, not just shortest distance?
Yes — that is the core of it. The optimizer respects each vehicle's load/volume capacity, will split demand into additional routes when a truck would be overloaded, honors per-stop time windows, and originates routes from the correct source depot in multi-warehouse setups. You can also weight for cost-per-km or per-hour so the 'best' route reflects your real economics, not just raw mileage.
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Delivery Route Optimization
Auto-build the most efficient Odoo delivery routes by distance, capacity and time windows to cut miles, fuel and driver hours.
- Multi-stop route optimization from a source depot through all waypoints to the final destination, sequenced for minimum total distance and time on a native delivery.route model
- Vehicle capacity constraints enforced against fleet.vehicle payload/volume so no route is over-loaded, with automatic split into additional routes when demand exceeds capacity
- Customer time-window scheduling — each stop honors requested earliest/latest delivery times, with feasibility flags when a window cannot be met
- Distance- and traffic-aware sequencing via a pluggable routing provider (OpenRouteService, OSRM, Google Maps or Mapbox) chosen and wired during the build