CRM migration
Field-level mapping, validation, and rollback between Fieldy and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Fieldy
Source
Odoo CRM
Destination
Compatibility
11 of 12
objects map 1:1 between Fieldy and Odoo CRM.
Complexity
BStandard
Timeline
48–96 hours
Overview
Fieldy stores field-service records — customers, sites, jobs, staff, line items, and activity logs — in a flat-to-relational structure optimized for mobile crews. Odoo CRM models the same data across res.partner (contacts/companies), crm.lead (leads and opportunities), project.task (jobs as tasks), and stock.picking or mrp.production for field-service execution. FlitStack AI maps Fieldy customers to res.partner, Fieldy jobs to crm.lead records flagged as field-service opportunities, Fieldy site locations to res.partner address records, and Fieldy staff accounts to Odoo res.users resolved by email match. Custom fields and job-type pick-list values migrate as Odoo selection fields or ir.model.fields depending on destination schema. Automations, routing rules, and field-service dispatch logic do not migrate — we export Fieldy workflow definitions as a rebuild reference for Odoo's Studio automation builder. The migration uses Odoo's XML-RPC or csv-import layer with transactional batching to preserve relational integrity across partner, lead, and task links. During the migration, FlitStack validates each record's foreign keys, runs a pre-load dry-run to catch missing partner or user references, and records any unmapped status values for Odoo admin to configure before final import. The process maintains a transaction log for audit purposes, enabling rollback if any batch fails.
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 Fieldy 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.
Fieldy
Customer
Odoo CRM
res.partner
1:1Fieldy customers map to Odoo res.partner records. The 'company' flag in Fieldy determines whether res.partner.is_company is True or False. Company-level fields (industry, employee_count) map to Odoo partner fields; individual contacts link via parent_id to their company partner. and preserve any existing partner tags.
Fieldy
Customer (field_service type)
Odoo CRM
res.partner + crm.lead
1:manyFieldy customers flagged as field_service type create both a res.partner (the account) and a crm.lead (the field-service opportunity) with type 'opportunity' and a custom field x_fieldy_source_type preserved for reporting continuity. This split ensures that service requests are tracked as leads while maintaining the corporate account hierarchy.
Fieldy
Site / Location
Odoo CRM
res.partner (child address)
1:1Fieldy site records attached to a customer become Odoo res.partner address records linked via parent_id to the primary customer partner. Latitude/longitude from Fieldy map to Odoo's geo_* fields if the Google Maps integration is active properly on the destination instance.
Fieldy
Job
Odoo CRM
crm.lead
1:1Each Fieldy job becomes a crm.lead record in Odoo CRM with type 'opportunity'. The Fieldy job name becomes crm.lead.name; job status maps via value_mapping to Odoo crm.stage. Job description and internal notes migrate to crm.lead.description. If the Fieldy job has a primary customer, crm.lead.partner_id is set to the matching res.partner.
Fieldy
Job Line Item
Odoo CRM
sale.order.line (via Quotation)
1:1Fieldy job line items (service description, quantity, unit price, discount) map to sale.order.line fields. A draft sale.order is created per job in Odoo so the line items are preserved even if the opportunity is not yet converted to a confirmed sale.
Fieldy
Staff / Field Worker
Odoo CRM
res.users + res.partner
1:1Fieldy staff records resolve to Odoo res.users by email match. If a staff member has no Odoo user account, FlitStack creates a res.users with the Fieldy staff email and flags the record for the Odoo admin to assign access rights. Staff certifications and vehicle fields migrate as custom Char or Selection fields on res.users.
Fieldy
Job Assignment
Odoo CRM
crm.lead.user_id + project.task
1:1Fieldy job-to-staff assignments map to crm.lead.user_id (the Odoo salesman field). If the job is also represented as a project.task in Odoo, the task.user_id is set to the same resolved user. and ensure that assignment history is captured as mail.message records linked to the lead.
Fieldy
Activity Log / Job Note
Odoo CRM
mail.message
1:1Fieldy job notes, call summaries, and status-change entries migrate as Odoo mail.message records attached to the corresponding crm.lead via res_model='crm.lead' and res_id set to the Odoo lead ID. Original timestamps and author names (resolved staff-to-user) are preserved in the message metadata.
Fieldy
Attachment / Photo
Odoo CRM
ir.attachment
1:1Fieldy photos, signed forms, and PDF attachments linked to jobs re-upload to Odoo ir.attachment with res_model='crm.lead' and res_id pointing to the migrated lead. File names, MIME types, and create dates are preserved. Attachment size is validated against Odoo's MAX_ATTACHMENT_SIZE server parameter.
Fieldy
Custom Field (any object)
Odoo CRM
ir.model.field
1:1Fieldy custom fields on any object become Odoo ir.model.field definitions created during the schema-setup phase. Fieldy pick-list values are translated to Odoo Selection field options. Char, number, and date custom fields map to corresponding Odoo field types. and preserve any default values set in Fieldy.
Fieldy
Workflow / Routing Rule
Odoo CRM
Not migratable
1:1Fieldy job routing rules, auto-assignment logic, and status-trigger automations do not have a functional equivalent in Odoo CRM. FlitStack exports all Fieldy rule definitions as a structured JSON document that maps to Odoo Studio actions and server actions for manual rebuild.
Fieldy
Integration / Connected App
Odoo CRM
Not migratable
1:1Fieldy third-party integrations (payment gateways, GPS platforms, accounting exports) must be reconnected in Odoo. FlitStack documents each active integration's credentials and webhook URL so the Odoo admin can re-establish connections post-migration. and verify that API rate limits and authentication methods are compatible with Odoo's integration framework.
| Fieldy | Odoo CRM | Compatibility | |
|---|---|---|---|
| Customer | res.partner1:1 | Fully supported | |
| Customer (field_service type) | res.partner + crm.lead1:many | Fully supported | |
| Site / Location | res.partner (child address)1:1 | Fully supported | |
| Job | crm.lead1:1 | Fully supported | |
| Job Line Item | sale.order.line (via Quotation)1:1 | Fully supported | |
| Staff / Field Worker | res.users + res.partner1:1 | Fully supported | |
| Job Assignment | crm.lead.user_id + project.task1:1 | Fully supported | |
| Activity Log / Job Note | mail.message1:1 | Fully supported | |
| Attachment / Photo | ir.attachment1:1 | Fully supported | |
| Custom Field (any object) | ir.model.field1:1 | Fully supported | |
| Workflow / Routing Rule | Not migratable1:1 | Fully supported | |
| Integration / Connected App | Not migratable1:1 | 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.
Fieldy gotchas
No documented public API or bulk export endpoint
Custom workflow automations do not export as portable rules
Pricing tiers and per-user limits not publicly confirmed
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
Extract Fieldy data via API and build schema map
FlitStack connects to Fieldy's REST API using your account credentials and extracts all customers, sites, jobs, staff, job lines, activity logs, and attachment metadata in structured JSON batches. We simultaneously inspect your target Odoo instance's ir.model.field definitions to identify existing fields and flag where custom ir.model.field records need to be created before data loads. The output is a field-mapping spreadsheet reviewed and approved by your team before any data moves.
Create Odoo schema: stages, custom fields, partner structure
Before any records load, FlitStack creates the Odoo crm.stage records matching your Fieldy job-status values, creates the ir.model.field custom fields for staff role, original created dates, and source-type flags, and pre-creates the draft sale.order records linked to jobs so that job-line items have a home. This step requires Odoo admin credentials or a user with Technical Settings access, and validation checks.
Migrate customers and sites first, then staff-user resolution
FlitStack loads all Fieldy customers as res.partner records, then runs the site migration with parent_id resolution linking each site to its parent customer partner. Staff records are processed next — each staff email is matched against existing Odoo res.users by login. Matched staff are linked directly; unmatched staff are flagged in the migration report with a list of emails your admin should create res.users accounts for before the job migration pass runs.
Migrate jobs, attachments, and activity history
With all foreign-key dependencies resolved, FlitStack loads Fieldy jobs as crm.lead records with partner_id, user_id (resolved staff owner), stage_id (mapped from job status), date_deadline, and planned_revenue populated. Job-line items create draft sale.order records per job. Mail messages for each job activity entry are inserted with res_model='crm.lead', res_id pointing to the migrated lead. Attachments re-upload to ir.attachment linked to the same lead record.
Run sample diff, delta-pickup window, and audit log
A representative slice of records — typically 200–500 across customers, jobs, and staff — migrates first and generates a field-level diff comparing source Fieldy values against the Odoo record values. Your team validates a sample before the full run commits. After full migration, a delta-pickup window captures any Fieldy records modified during the cutover period. FlitStack produces an audit log of every record inserted or updated in Odoo, and one-click rollback reverts all Odoo changes if reconciliation identifies critical data issues.
Platform deep dives
Fieldy
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 Fieldy 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
Fieldy: Not publicly documented..
Data volume sensitivity
Fieldy 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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