CRM migration
Field-level mapping, validation, and rollback between ServiceTracker and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
ServiceTracker
Source
Odoo CRM
Destination
Compatibility
13 of 13
objects map 1:1 between ServiceTracker and Odoo CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
ServiceTracker is a field-service management platform built around work orders, assets, sites, and contracts. Its data model centres on customers, locations, and the work orders tied to each location. Odoo CRM uses a different architecture: leads and opportunities live in crm.lead, contacts and companies are stored in res.partner, and Odoo's pipeline stages are kanban-card states managed through crm.stage. FlitStack AI extracts ServiceTracker data via its REST/SOAP export API, maps every standard field to its Odoo equivalent, creates Odoo custom fields for ServiceTracker-specific properties like work_order_number, service_technician, and contract_type, and loads data through Odoo's xmlrpc interface. Workflows, dispatch rules, and SLA triggers are not migratable — we export ServiceTracker workflow definitions as a rebuild reference for your Odoo admin. The result is an Odoo CRM instance with complete service history, linked assets, and open work orders surfaced as opportunities or project tasks.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a ServiceTracker object lands in Odoo CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
ServiceTracker
Customer
Odoo CRM
res.partner
1:1ServiceTracker customer records map directly to Odoo res.partner. Company-level fields (name, phone, address) transfer as-is; individual contact records are created as child partners linked to the company partner record.
ServiceTracker
Site / Location
Odoo CRM
res.partner (address child)
1:1ServiceTracker sites are multi-address customer locations. Each site becomes a child res.partner record with type='other', preserving the site name as the partner display name so dispatchers can distinguish locations in Odoo's map view.
ServiceTracker
Work Order
Odoo CRM
crm.lead (opportunity)
1:1Open ServiceTracker work orders become Odoo crm.lead opportunities with the pipeline stage set to match the ServiceTracker status. Completed or cancelled work orders migrate as historical records with a 'Closed' stage; the original status is preserved in a custom field.
ServiceTracker
Work Order
Odoo CRM
project.task
1:1Active work orders with scheduled technician assignments also generate project.task records in Odoo's project module. This preserves the job-level task breakdown, time estimates, and actual hours that ServiceTracker tracks separately from the CRM pipeline.
ServiceTracker
Asset
Odoo CRM
product.product / maintenance.equipment
1:1ServiceTracker assets have serial numbers, model data, and install locations. These map to Odoo's maintenance.equipment model if the Odoo Maintenance module is installed, otherwise to product.product with custom fields for serial number, install date, and warranty expiry.
ServiceTracker
Contract
Odoo CRM
sale.subscription
1:1ServiceTracker contracts with recurring billing periods and coverage tiers map to Odoo sale.subscription. The contract number, start and end dates, and coverage scope transfer as custom fields on the subscription record.
ServiceTracker
Technician / User
Odoo CRM
res.users
1:1ServiceTracker technicians are matched to Odoo res.users by email address. If a technician has no Odoo user account, FlitStack creates a portal-user record so the technician can access the customer portal without a full internal licence.
ServiceTracker
Service History Line
Odoo CRM
mail.message / project.task (history)
1:1Each service visit logged in ServiceTracker becomes a mail.message on the related crm.lead or project.task, preserving the date, technician, and notes text. This gives Odoo users a full service timeline on every opportunity.
ServiceTracker
Custom Field (ServiceTracker)
Odoo CRM
ir.model.fields (custom)
1:1ServiceTracker custom fields created by the user (pick-lists, numeric fields, date fields) are created as Odoo custom fields on the target model (crm.lead or res.partner) before data loads, using Odoo Studio or Python model definition.
ServiceTracker
Attachment / File
Odoo CRM
ir.attachment
1:1ServiceTracker files attached to work orders or assets are downloaded and re-uploaded to Odoo's ir.attachment table, linked to the corresponding crm.lead or maintenance.equipment record. The original filename and MIME type are preserved.
ServiceTracker
Invoice / Billing Record
Odoo CRM
account.move
1:1ServiceTracker invoicing records do not map to Odoo CRM — they belong in the accounting module and require a separate accounting migration pass. We preserve the invoice reference and amount as custom fields on the linked opportunity for reconciliation reference.
ServiceTracker
Workflow / Dispatch Rule
Odoo CRM
none
1:1ServiceTracker dispatch rules, SLA triggers, and auto-assignment rules have no Odoo equivalent in the base CRM. We export the rule definitions as a JSON document so your Odoo admin can rebuild equivalent automation using Odoo Studio or server actions.
ServiceTracker
Reports / Dashboards
Odoo CRM
none
1:1ServiceTracker report definitions and saved filters do not transfer. The underlying data (work orders, labour hours, parts used) migrates completely, so Odoo reporting can reconstruct equivalent analytics from the imported records.
| ServiceTracker | Odoo CRM | Compatibility | |
|---|---|---|---|
| Customer | res.partner1:1 | Fully supported | |
| Site / Location | res.partner (address child)1:1 | Fully supported | |
| Work Order | crm.lead (opportunity)1:1 | Fully supported | |
| Work Order | project.task1:1 | Fully supported | |
| Asset | product.product / maintenance.equipment1:1 | Fully supported | |
| Contract | sale.subscription1:1 | Fully supported | |
| Technician / User | res.users1:1 | Fully supported | |
| Service History Line | mail.message / project.task (history)1:1 | Fully supported | |
| Custom Field (ServiceTracker) | ir.model.fields (custom)1:1 | Fully supported | |
| Attachment / File | ir.attachment1:1 | Fully supported | |
| Invoice / Billing Record | account.move1:1 | Fully supported | |
| Workflow / Dispatch Rule | none1:1 | Fully supported | |
| Reports / Dashboards | none1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
ServiceTracker gotchas
No native bulk data export API
Custom fields are not centrally documented
Offline mobile data must sync before migration window
Odoo CRM gotchas
Odoo.sh version gating blocks assisted migrations from trial
Enterprise modules fail to install on Community after database restore
Custom module view inheritance breaks between Odoo major versions
Custom fields risk losing their application context on Community
API access for Community is gated behind the Custom Plan
Pair-specific challenges
Migration approach
Confirm Odoo app stack and create custom fields
Before extraction, FlitStack audits your Odoo instance to identify which apps are installed (CRM, Project, Maintenance, Subscription). We then create all required custom fields on crm.lead, res.partner, maintenance.equipment, and sale.subscription in a staging environment before any data loads. The field creation plan — with Odoo field names, types, and pick-list values — is delivered as a checklist for your Odoo admin to approve.
Extract ServiceTracker data via REST/SOAP export
We connect to ServiceTracker's export API using credentials your team provides. All standard objects (customers, sites, work orders, assets, contracts, service history) are pulled in full, plus any user-defined custom fields from ServiceTracker's custom-field registry. The extract runs in read-only mode against a staging export; your production ServiceTracker instance is not touched. A data-quality report flags missing required fields and duplicate records before we begin mapping.
Map, deduplicate, and sequence the data load
Customers are loaded first to establish res.partner parent records. Sites follow as child partners. Assets and contracts are loaded in parallel. Work orders and service history load last, with foreign keys resolving to the partner records created in the first pass. Technician email addresses are matched against your Odoo user list; unresolved technicians are flagged with owner fallback options. Any records with missing required fields are quarantined to a review queue.
Run sample migration with field-level diff
A representative slice — typically 200–500 records spanning all object types — is loaded into your Odoo staging environment. We generate a field-level diff showing source value, mapped Odoo value, and any transformation applied. You review opportunity stage mapping, asset linkage, and technician assignment. Only after you approve the sample does the full migration run proceed.
Execute full migration with delta-pickup window and audit log
The full dataset loads into Odoo production. A delta-pickup window (24–48 hours after initial load) captures any ServiceTracker records modified during the cutover window. Every operation is logged to an audit table including source record ID, destination record ID, field changes, and timestamp. One-click rollback reverts all migrated records if reconciliation identifies data integrity issues before go-live.
Platform deep dives
ServiceTracker
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across ServiceTracker and Odoo CRM.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
ServiceTracker: Inherits Salesforce platform API rate limits.
Data volume sensitivity
ServiceTracker exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during ServiceTracker to Odoo CRM migration scoping. Not seeing yours? Book a call.
Walk through your ServiceTracker to Odoo CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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