CRM migration

Migrate from Fieldy to Odoo CRM

Field-level mapping, validation, and rollback between Fieldy and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.

Fieldy logo

Fieldy

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

92%

11 of 12

objects map 1:1 between Fieldy and Odoo CRM.

Complexity

BStandard

Timeline

48–96 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Fieldy logo

Fieldy

What's pushing teams away

  • Lack of API documentation or public bulk export endpoint makes data portability a manual, error-prone process that frustrates teams with large historical records.
  • Limited third-party integration ecosystem compared to established FSM platforms, creating friction for businesses relying on accounting or ERP connections.
  • The white-label offering referenced in reviews suggests feature limitations that become apparent as businesses scale beyond basic field service needs.

Choosing

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Fieldy objects map to Odoo CRM

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

maps to

Odoo CRM

res.partner

1:1
Fully supported

Fieldy 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)

maps to

Odoo CRM

res.partner + crm.lead

1:many
Fully supported

Fieldy 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

maps to

Odoo CRM

res.partner (child address)

1:1
Fully supported

Fieldy 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

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Each 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

maps to

Odoo CRM

sale.order.line (via Quotation)

1:1
Fully supported

Fieldy 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

maps to

Odoo CRM

res.users + res.partner

1:1
Fully supported

Fieldy 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

maps to

Odoo CRM

crm.lead.user_id + project.task

1:1
Fully supported

Fieldy 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

maps to

Odoo CRM

mail.message

1:1
Fully supported

Fieldy 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

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Fieldy 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)

maps to

Odoo CRM

ir.model.field

1:1
Fully supported

Fieldy 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

maps to

Odoo CRM

Not migratable

1:1
Fully supported

Fieldy 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

maps to

Odoo CRM

Not migratable

1:1
Fully supported

Fieldy 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.

Gotchas + challenges

What specifically takes care here

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 logo

Fieldy gotchas

High

No documented public API or bulk export endpoint

Medium

Custom workflow automations do not export as portable rules

Low

Pricing tiers and per-user limits not publicly confirmed

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Fieldy staff without Odoo login become orphaned assignments

    Fieldy staff records do not automatically have portal or internal user accounts in Odoo. If a staff member's email does not match an existing res.users.login, FlitStack flags the record for manual user creation. Until a res.users record exists, the corresponding crm.lead.user_id remains unset — jobs assigned to unmatched staff land in Odoo without an owner and appear in the Odoo admin's unassigned queue. The admin should create res.users entries for these staff before the job migration step to avoid orphaned leads.

  • Job-to-lead splitting requires a two-pass migration to satisfy foreign-key constraints

    Fieldy jobs reference customer IDs; Odoo crm.lead requires partner_id to reference a migrated res.partner. FlitStack sequences the migration as: (1) all customers → res.partner, (2) all sites → child res.partner records, (3) all jobs → crm.lead with partner_id resolved from pass 1. Running jobs before customers produces a foreign-key violation in Odoo because crm.lead.partner_id is a required Many2one field when partner砰砰砰 link is expected. Failure to follow this order will halt the import and require a rollback of the batch.

  • Fieldy job-status values require Odoo stage creation before migration

    Fieldy job statuses (e.g., Scheduled, In Progress, Completed, Cancelled, On Hold) map to Odoo crm.stage records in the default pipeline. Each unique Fieldy status must have a corresponding stage created in Odoo's CRM > Configuration > Stages before the migration runs, otherwise the value_mapping step fails and the stage_id defaults to the first stage for all migrated leads. If you have custom statuses, create matching stages before migration to preserve historical pipeline segmentation.

  • Multi-site customers generate duplicate res.partner records if parent_id is not set

    A Fieldy customer with three site records migrating without parent_id resolution produces three top-level res.partner records in Odoo instead of one parent company with two child address records. FlitStack resolves the parent link during site migration by matching the site.parent_customer_id to the customer's res.partner ID, but this requires the customer migration pass to complete before the site pass begins. Without this sequencing, duplicate partners inflate your contact list and break reporting by location.

  • Odoo Community lacks Field Service app availability on all plans

    Odoo's dedicated Field Service module (project_task_workorder or fsm module) is an Odoo Enterprise or Odoo.sh feature. On Odoo Community, field-service job dispatch, GPS tracking, and work-order management are not available natively. Jobs migrated to crm.lead are fully functional as leads and opportunities, but dispatch and scheduling require the Field Service app to be licensed and installed — this should be confirmed before migration scope is finalised. Evaluate your license tier before committing to the migration plan.

Migration approach

Six steps for a successful Fieldy to Odoo CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Fieldy logo

Fieldy

Source

Strengths

  • Per-user pricing model that is budget-friendly for growing field service businesses, according to Fieldy's own positioning.
  • Real-time live location tracking for field technicians with scheduling and dispatch automation built in.
  • All-in-one quote-to-payment workflow consolidates what many SMBs manage across multiple disconnected tools.
  • Mobile and web access for field reps with instant onboarding and no mandatory credit card to start a trial.
  • Customizable workflows, checklists, forms, and notifications for 25+ industry verticals.

Weaknesses

  • No publicly documented API or bulk export endpoint, making data portability a manual process.
  • Limited integration ecosystem compared to larger FSM competitors like ServiceTitan or Jobber.
  • Feature set oriented toward small-to-mid businesses; white-label limitations become apparent at scale.
  • No third-party review presence beyond a single G2 review and a 3.3-star Capterra rating, suggesting limited enterprise adoption or market penetration.
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Fieldy and Odoo CRM.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Fieldy: Not publicly documented..

  • Data volume sensitivity

    B

    Fieldy doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Fieldy to Odoo CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Fieldy to Odoo CRM data migrations

Answers to the questions buyers ask most during Fieldy to Odoo CRM migration scoping. Not seeing yours? Book a call.

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Most Fieldy-to-Odoo migrations complete in 48–96 hours of clock time for under 25,000 total records. Larger setups with 100,000+ records, 15+ custom fields, and staff-user resolution requirements extend to 7–14 days. The longest single step is usually Odoo schema setup — creating stages and custom fields — which can take 2–3 days before data loading begins, and includes a validation pass.

Adjacent paths

Related migrations to explore

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