CRM migration
Field-level mapping, validation, and rollback between Odoo Field Service and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Odoo Field Service
Source
monday CRM
Destination
Compatibility
12 of 12
objects map 1:1 between Odoo Field Service and monday CRM.
Complexity
BStandard
Timeline
2–4 days
Overview
Odoo Field Service stores field service data in a relational database: field service orders (fsm.order) reference partners (res.partner), equipment (fsm.equipment), locations (fsm.location), and workers (fsm.worker) via foreign keys. Monday CRM has no native field service object — it models everything as Items on Boards, using column types (Status, Date, Location, Relationship, Label, etc.) to replicate structured data. We map Odoo contacts to Monday Contacts, companies to Monday Companies, opportunities to Deals, and field service orders, equipment, and workers to custom boards with Relationship columns linking them together. Custom Odoo fields (char, integer, selection) migrate as Monday custom columns; many2one and many2many fields map to Monday Relationship columns between boards. Automations, workflows, and server-side Python actions cannot migrate — we export Odoo automation definitions as a rebuild reference for Monday's automation builder. The migration reads from Odoo's XML-RPC API or CSV export, transforms records into Monday Items via the API (or bulk CSV import for large tables), and validates relationship column resolution before cutover. Odoo's ERP integrations (accounting, inventory, timesheets) have no Monday equivalent and must be rebuilt or replaced.
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 monday CRM, 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
res.partner
monday CRM
Contacts Board
1:1Odoo partners (type=contact) become Monday Contacts. Names, emails, phones, addresses, and job titles map directly to Monday's standard contact fields. Partner type flags (customer, vendor) migrate as Label columns.
Odoo Field Service
res.partner (company)
monday CRM
Companies Board
1:1Odoo company-type partners (type=company) become Monday Companies. Company name, website, industry, and employee count map directly. Parent-company hierarchies map to a Relationship column pointing back to the Companies Board.
Odoo Field Service
crm.lead / Opportunity
monday CRM
Deals Board
1:1Odoo leads and opportunities merge into Monday Deals. Stage names map via value_mapping to Monday Status column values. Lost/won stages are preserved; probability percentages migrate as a custom Number column.
Odoo Field Service
fsm.order
monday CRM
Field Service Orders Board
1:1Odoo field service orders map 1:1 to Monday Items on a Field Service Orders Board. Order name, stage, priority, scheduled date, description, and resolution notes map to Status, Priority, Date, and Text columns. Customer, equipment, and worker fields become Relationship columns.
Odoo Field Service
fsm.equipment
monday CRM
Equipment Board
1:1Odoo equipment records become Monday Items on an Equipment Board. Serial number, product reference, customer link, and location link migrate as Text and Relationship columns. Equipment assignment status maps to a Status column.
Odoo Field Service
fsm.location
monday CRM
Locations Board
1:1Odoo field service locations become Monday Items on a Locations Board. Address, GPS coordinates, and associated customer migrate as Location column, Text fields, and a Relationship to the Companies Board.
Odoo Field Service
res.users (workers)
monday CRM
Workers Board
1:1Odoo users assigned as field workers become Monday Items on a Workers Board. Name, email, mobile, and team assignment migrate as Text and Label columns. The user ID (id field) is preserved as a Text field for reconciliation.
Odoo Field Service
sale.order / account.move
monday CRM
No equivalent in Monday CRM
1:1Odoo sales orders and invoices have no Monday CRM equivalent. These records are flagged as reference-only and exported as CSV. Accounting data must be rebuilt in a dedicated accounting tool post-migration.
Odoo Field Service
mail.message / ir.attachment
monday CRM
Item Updates / Files
1:1Odoo chatter messages and email threads attach to the relevant Monday Item as Update text. Odoo file attachments re-upload to Monday's native file storage. Original timestamps and author names are preserved as custom Date and Text columns.
Odoo Field Service
ir.model.data (custom fields)
monday CRM
Custom columns
1:1Odoo custom fields on any model (defined via ir.model.fields) are created as custom columns in Monday. Field type determines the Monday column type: char → Text, integer → Number, selection → Status or Label, many2one → Relationship column to a reference board.
Odoo Field Service
fsm.order.stage
monday CRM
Status column values
1:1Odoo field service stage names (New, In Progress, Pending, Completed, Cancelled) map value-by-value to Monday Status column values. Stage ordering and color assignments are replicated in the Monday board design.
Odoo Field Service
res.country.state
monday CRM
Location column (nested)
1:1Odoo state records are embedded within the Location column's address structure rather than a separate board. The country field maps to a Label column on the Locations Board for filtering purposes.
| Odoo Field Service | monday CRM | Compatibility | |
|---|---|---|---|
| res.partner | Contacts Board1:1 | Fully supported | |
| res.partner (company) | Companies Board1:1 | Fully supported | |
| crm.lead / Opportunity | Deals Board1:1 | Fully supported | |
| fsm.order | Field Service Orders Board1:1 | Fully supported | |
| fsm.equipment | Equipment Board1:1 | Fully supported | |
| fsm.location | Locations Board1:1 | Fully supported | |
| res.users (workers) | Workers Board1:1 | Fully supported | |
| sale.order / account.move | No equivalent in Monday CRM1:1 | Fully supported | |
| mail.message / ir.attachment | Item Updates / Files1:1 | Fully supported | |
| ir.model.data (custom fields) | Custom columns1:1 | Fully supported | |
| fsm.order.stage | Status column values1:1 | Fully supported | |
| res.country.state | Location column (nested)1:1 | 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
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Analyze Odoo schema and document migration map
FlitStack AI connects to Odoo via XML-RPC API or CSV export to inventory all active models: res.partner, crm.lead, fsm.order, fsm.equipment, fsm.location, fsm.worker, and any custom fields defined via ir.model.fields. We extract foreign-key relationships (many2one, many2many), identify stage sequences, document custom field types and their allowed values, and flag records with circular or missing dependencies. The output is a migration map document naming every Odoo field, its target Monday column, and the mapping type (direct, value_mapping, custom_field_required, transformed).
Design Monday board structure and column schema
Based on the migration map, FlitStack AI creates the Monday board architecture in dependency order: reference boards first (Companies, Locations, Workers), then Equipment linking to Locations, then the Field Service Orders board with Relationship columns pointing to Equipment, Locations, and Workers. We pre-create all custom columns, Status values, and Label sets matching Odoo's stage and pick-list values. This sequencing ensures Relationship columns have valid targets before any Items are created, preventing orphaned references at migration time.
Run a sample migration with relationship validation
A representative slice of 100–500 records migrates first — spanning contacts, companies, deals, field service orders, and equipment. FlitStack AI validates that all Relationship columns resolved to non-blank Items, that Status column values match the expected Odoo stage names, that custom field values (dates, numbers, text) populated correctly, and that activity history records attach to the correct parent Items. We generate a field-level diff report for customer review before the full migration commits.
Execute full migration via API with rate-limit management
The full migration runs against Monday's API using batch inserts of 100–500 Items per call, with per-request retry logic and exponential backoff to handle rate-limit responses (429 COMPLEXITY_BUDGET_EXCEEDED and DAILY_LIMIT_EXCEEDED). For record volumes exceeding the API budget, we fall back to Monday's native CSV import, splitting files by board and running them in dependency order. Every operation is logged to an audit trail with source Odoo ID, destination Monday Item ID, and timestamp.
Capture delta and deliver post-migration reconciliation report
During the 24–48 hour delta-pickup window, FlitStack AI holds read-only access to Odoo and captures any records created or modified after the initial extraction snapshot. These delta records are migrated and merged into the Monday boards. The post-migration report shows: total items created per board, blank Relationship column count (action items for the Monday admin), date-range validation, and a record-count comparison against the Odoo source. If reconciliation reveals discrepancies exceeding the agreed tolerance, one-click rollback reverts the Monday workspace to its pre-migration state.
Platform deep dives
Odoo Field Service
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Odoo Field Service and monday CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Odoo Field Service and monday CRM.
Object compatibility
All 8 core objects map 1:1 between Odoo Field Service and monday CRM.
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.
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