CRM migration
Field-level mapping, validation, and rollback between Odoo Field Service and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Odoo Field Service
Source
HighLevel
Destination
Compatibility
12 of 12
objects map 1:1 between Odoo Field Service and HighLevel.
Complexity
BStandard
Timeline
3–5 days
Overview
Odoo Field Service structures field operations around field.service.task linked to res.partner (contacts and companies), product.product, project.project, and account.move. It offers Kanban, Gantt, Calendar, and Map planning views, integrated timesheets, worksheets with e-signature capture, and direct invoicing from task completion. HighLevel replaces this stack with a unified CRM where Contacts and Companies are the core objects, Opportunities track deals through customizable pipeline stages, Tasks manage work items, and Workflows automate sequences. The migration extracts Odoo data via its XML-RPC or CSV export interface and loads it into HighLevel's REST API using bulk upsert operations. We preserve original create_date and write_date values as custom fields in HighLevel since HighLevel's native CreatedDate reflects the migration timestamp. Owner resolution matches Odoo res.users email addresses to HighLevel user email addresses before record assignment. Odoo workflows, automated actions, server actions, and project-task dependencies do not migrate — we deliver a structured export of Odoo's workflow definitions as reference input for rebuilding in HighLevel's Workflow Builder. Invoicing and accounting records from Odoo map selectively to HighLevel Opportunities and Products; full financial history is preserved as a data export for reference rather than live-record recreation.
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 Odoo Field Service object lands in HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Odoo Field Service
field.service.task
HighLevel
Task
1:1Odoo's field.service.task maps directly to HighLevel's Task object. Task name, description, scheduled date, assigned user, priority, stage, and tags transfer as-is. Original create_date and write_date are preserved in custom datetime fields since HighLevel's created_at reflects migration time. Task type (one2many to field.service.type) maps to a custom pick-list field in HighLevel.
Odoo Field Service
res.partner (contact)
HighLevel
Contact
1:1Odoo res.partner records with partner_type = 'contact' migrate to HighLevel Contact. Name, email, phone, mobile, street, city, state, country, and zip transfer as direct field maps. Partner tags (res.partner.category) map to HighLevel Contact tags. Odoo's function/title field maps to HighLevel's jobTitle custom field.
Odoo Field Service
res.partner (company)
HighLevel
Company
1:1Odoo res.partner records with partner_type = 'company' migrate to HighLevel Company. Company name, website, street, city, state, country, and industry fields map directly. Employee count and revenue from Odoo (if populated) migrate as custom Number fields in HighLevel. Parent-company relationships (res.partner.parent_id) map to HighLevel's Company hierarchy via the parentId field.
Odoo Field Service
res.partner → Contact relationship
HighLevel
Contact → Company
1:1Odoo's many2one relationship from res.partner to its parent company maps to HighLevel's Contact.companyId lookup field. Because the Contact–Company link is required, we create HighLevel Company records first during the migration run. Contacts are loaded after Companies so that the lookup resolves automatically; any Contact that references a missing Company is flagged for pre‑migration resolution.
Odoo Field Service
product.product / product.template
HighLevel
Product
1:1Product data moves from Odoo product.product (and product.template) into HighLevel Products. We map product name, list_price, standard_price, default_code (SKU), and description directly. Odoo product categories become custom pick‑list values or tags in HighLevel. Each product can then be attached as a line item to Opportunities, allowing quote generation and revenue tracking within HighLevel pipelines.
Odoo Field Service
project.project
HighLevel
Custom Object or Tag
1:1Odoo project.project records do not have a native HighLevel equivalent. We map project.project.name as a tag on related field.service.task records and optionally create a HighLevel Custom Object named Project to hold project metadata (name, date, customer). This keeps the service context visible in HighLevel without forcing a project management module.
Odoo Field Service
account.analytic.line (timesheet)
HighLevel
Custom Number Fields on Task
1:1Odoo timesheet entries (account.analytic.line) linked to field.service.task have no direct HighLevel equivalent. We create custom Number fields on the Task object — Hours_Logged__c, Timesheet_Date__c, and Employee__c (text) — and populate them per timesheet line associated with each task. This preserves billable hour history for invoicing reference.
Odoo Field Service
field.service.worksheet
HighLevel
Custom Fields on Task
1:1Odoo worksheet records (field.service.worksheet) capture field-level checklist data and e-signature. These migrate as JSON-encoded text in a custom long-text field (Worksheet_Data__c) on the HighLevel Task, preserving checklist responses and signature image URLs. Full worksheet recreation as a structured form requires a separate HighLevel form build.
Odoo Field Service
stock.picking
HighLevel
Custom Object
1:1Odoo stock.picking records for material deliveries linked to field service tasks have no HighLevel equivalent. We create a Custom Object named Material_Delivery__c in HighLevel, capturing picking date, state, origin (task link), and move lines as a JSON custom field. This maintains material tracking context without requiring Odoo's inventory module.
Odoo Field Service
res.users
HighLevel
User
1:1Odoo res.users records (technicians, dispatchers) are resolved by email match against HighLevel user accounts. Matched users are stored as the assigned owner on migrated Tasks and Contacts. Unmatched Odoo users are flagged before migration — teams either invite them to HighLevel first or reassign records to a designated fallback owner.
Odoo Field Service
ir.attachment (task attachments)
HighLevel
Task Attachments
1:1Odoo ir.attachment records linked to field.service.task are downloaded and re-uploaded to HighLevel's task attachments. File size limits in HighLevel apply — files exceeding the limit are flagged for manual handling. Inline images from Odoo notes are downloaded, re-hosted, and URLs updated in the task description.
Odoo Field Service
mail.message / mail.tracking.value
HighLevel
Task Chatter / Custom Note Field
1:1Odoo chatter messages and tracking values on field.service.task records do not map to a HighLevel native equivalent. HighLevel has no full audit trail per Contact or Task record. We preserve Odoo chatter as a JSON-encoded custom long-text field (Odoo_Chatter_History__c) for reference, and deliver the full mail.message export as a separate CSV for compliance review.
| Odoo Field Service | HighLevel | Compatibility | |
|---|---|---|---|
| field.service.task | Task1:1 | Fully supported | |
| res.partner (contact) | Contact1:1 | Fully supported | |
| res.partner (company) | Company1:1 | Fully supported | |
| res.partner → Contact relationship | Contact → Company1:1 | Fully supported | |
| product.product / product.template | Product1:1 | Fully supported | |
| project.project | Custom Object or Tag1:1 | Fully supported | |
| account.analytic.line (timesheet) | Custom Number Fields on Task1:1 | Fully supported | |
| field.service.worksheet | Custom Fields on Task1:1 | Fully supported | |
| stock.picking | Custom Object1:1 | Fully supported | |
| res.users | User1:1 | Fully supported | |
| ir.attachment (task attachments) | Task Attachments1:1 | Fully supported | |
| mail.message / mail.tracking.value | Task Chatter / Custom Note Field1:1 | 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.
Odoo Field Service gotchas
Database version upgrade is not a direct restore
Custom fields use x_ column naming that can collide
ir.attachment binaries can exceed API upload limits
Chatter messages use HTML that requires sanitization
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Odoo data export and schema audit
FlitStack AI connects to your Odoo instance via XML-RPC using your database, user credentials, and server URL. We export field.service.task, res.partner, product.product, project.project, account.analytic.line, and ir.attachment in structured batches. Simultaneously, we read the Odoo ir.model.fields metadata to enumerate every custom field in use across these models — this inventory drives the HighLevel custom field creation plan before any data lands in the destination.
Create HighLevel custom fields and objects
Before data loads, FlitStack AI creates all required custom fields in HighLevel via the Custom Objects API. This includes Custom_Datetime_OriginalCreateDate__c and Custom_Datetime_OriginalWriteDate__c for preserving Odoo timestamps, Custom_Number_HoursLogged__c for timesheet totals, Custom_Checkbox_WorksheetCompleted__c and Custom_LongText_WorksheetData__c for worksheet content, Custom_Number_Latitude__c and Custom_Number_Longitude__c for geo-coordinates, Custom_Number_Cost__c for product cost, Custom_Text_JobTitle__c for contact titles, and a Material_Delivery__c custom object for stock.picking data. Each field receives the correct data type—datetime, number, long-text, checkbox, or text—matching the source Odoo ir.model.fields definition to prevent type-cast errors during migration.
Resolve owners and dependencies, then sequence migration
Odoo res.users are matched to HighLevel users by email address. Any unmatched users are flagged with a pre-migration report — your team either creates HighLevel accounts for them or designates a fallback assignee. Migration runs in dependency order: Companies first (to populate the contact-company lookup), then Contacts (res.partner records with partner_type = 'contact'), then Products, then field.service.task records with resolved assignedTo values, then timesheet lines aggregated to Tasks, then attachments, then project tags applied to Tasks. Foreign-key violations stop the run and surface which Odoo record has an unresolvable dependency.
Sample migration with field-level diff
A representative slice of 200–500 records (covering a mix of task stages, partners with and without companies, products, and timesheet entries) migrates first. FlitStack AI generates a field-level diff comparing source values against destination field values — you can verify that stage names, owner assignments, geo-coordinates, and timesheet totals match before the full run commits. Any field mapping errors discovered in the sample are corrected and the diff is re-run until you approve.
Full migration with delta-pickup and rollback
The full dataset migrates via batched upsert operations against HighLevel's REST API. A delta-pickup window of 24–48 hours runs concurrently — any Odoo records modified or created during the migration window are captured in a second pass and applied to HighLevel. FlitStack AI produces an audit log listing every record created, updated, or skipped with reason codes. One-click rollback reverts all migrated records in HighLevel if reconciliation fails, restoring the account to its pre-migration state.
Platform deep dives
Odoo Field Service
Source
Strengths
Weaknesses
HighLevel
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 Odoo Field Service and HighLevel.
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
Odoo Field Service: Not publicly documented; Odoo documentation notes timeout thresholds for large exports and imports that effectively cap batch size.
Data volume sensitivity
Odoo Field Service doesn't expose a bulk API — REST + parallelization used for high-volume runs.
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
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