CRM migration

Migrate from Formitize to Odoo CRM

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

Formitize logo

Formitize

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

15 of 15

objects map 1:1 between Formitize and Odoo CRM.

Complexity

BStandard

Timeline

24–48 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Formitize organizes data across four primary objects: Clients (companies), Contacts (associated to clients), Jobs (service or project records), and a Sales Pipeline (deals tied to clients or contacts). Odoo CRM uses a unified res.partner model that covers both companies and individuals, with crm.lead handling leads and opportunities. The migration challenge lies in collapsing Formitize's four-object model into Odoo's two-object model while preserving the relationship links between contacts and their parent companies, job histories tied to deals, and the pipeline stage progression on each opportunity. FlitStack AI extracts Formitize data via the Platform API using paginated requests, resolving API rate limits by batching exports in 500-record windows. We map Formitize Clients to res.partner records with partner_type='company', Contacts to res.partner with partner_type='contact' and parent_id pointing to the company partner, Jobs to crm.lead records with stage_id mapped from Formitize pipeline stages, and Formitize Deals to crm.lead.planned_revenue. Custom fields on each Formitize object become Odoo custom fields (x_fieldname) on the corresponding model. Owner resolution uses email matching against res.users. We preserve original create_date and write_date on every record as custom datetime fields for reporting continuity. Workflows, automations, Zapier integrations, and multi-step job sequences are not migrated — they are Formitize-specific constructs with no Odoo equivalent. We export Formitize workflow definitions as JSON for your Odoo admin to reference when rebuilding automation logic in Odoo Studio. QuoteAccept quotations and PayNow payment records map to sale.order and account.payment respectively, where Odoo's accounting module is installed. Assets are exported as product.product or stock.production.lot records based on whether the asset is tracked as inventory or a service item.

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

Formitize logo

Formitize

What's pushing teams away

  • Performance degrades when multiple forms are chained into a single workflow, frustrating users who need complex multi-step processes on mobile devices.
  • Custom contact fields and asset custom fields require manual setup per account — no shared configuration templates across an organization.
  • Export capabilities are limited: Smart Table CSV exports are available but there is no unified bulk data export across all modules, complicating data portability.
  • The platform is Australian-focused with GST pricing and regional billing conventions, creating friction for non-Australian customers evaluating the platform.

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 Formitize objects map to Odoo CRM

Each row shows how a Formitize 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.

Formitize

Client

maps to

Odoo CRM

res.partner (partner_type=company)

1:1
Fully supported

Formitize Clients map directly to Odoo res.partner records with partner_type set to 'company'. Client name, address, phone, email, website, and industry fields map to their Odoo equivalents. Custom fields on the Client object become x_fieldname custom fields on res.partner. The Formitize client_id is preserved as x_formitize_client_id for traceability, and the original create_date is stored as x_original_create_date for historical continuity in Odoo reporting.

Formitize

Contact

maps to

Odoo CRM

res.partner (partner_type=contact)

1:1
Fully supported

Formitize Contacts map to res.partner with partner_type='contact'. The parent_id field links each Contact to the Odoo res.partner record representing the Contact's parent Client, preserving the account hierarchy. Formitize contact-level custom fields become x_fieldname custom fields on the partner record. Email, phone, mobile, and job title map directly to their Odoo equivalents. The Formitize contact_id is preserved as x_formitize_contact_id for traceability and delta-run de-duplication.

Formitize

Sales Pipeline / Deal

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Formitize Deals in the Sales Pipeline map to Odoo crm.lead records. Deal name becomes crm.lead.name, deal value (amount) maps to crm.lead.planned_revenue, close date maps to crm.lead.date_deadline, and Formitize stage name maps to crm.stage.name (stage creation in Odoo required before import).

Formitize

Pipeline Stage

maps to

Odoo CRM

crm.stage

1:1
Fully supported

Each Formitize pipeline stage requires a pre-created Odoo crm.stage record within the target crm.team. Stage names are matched value-by-value. Stage sequence (stage_number or sequence field) must match Formitize's stage order for correct Kanban display. Probability values on Odoo stages should be set to match Formitize stage probabilities.

Formitize

Job

maps to

Odoo CRM

crm.lead (or project.task if Project installed)

1:1
Fully supported

Formitize Jobs are a distinct object with no Odoo equivalent. We map Jobs to crm.lead records with a custom field (x_job_origin='formitize') to distinguish them from pipeline Deals. Job type, priority, and location custom fields carry over as Odoo custom fields on crm.lead. If the Project module is active, Jobs with sub-tasks may become project.task records.

Formitize

Job Stage / Status

maps to

Odoo CRM

crm.stage (separate stage group)

1:1
Fully supported

Formitize Job statuses (e.g., Quoted, In Progress, Completed, On Hold) are mapped to a separate set of crm.stage records scoped to a dedicated Odoo team for Jobs. This prevents Job stages and Deal stages from mixing in the same pipeline view. Each status name is matched to a pre-created Odoo stage.

Formitize

Asset / Asset Type

maps to

Odoo CRM

product.product / stock.production.lot

1:1
Fully supported

Formitize Assets with serializable tracking map to stock.production.lot records in Odoo (linked to a product.product template). Service-only assets with no inventory tracking become product.product records with type='service'. Asset custom fields (zones, location, GPS) map to custom fields on the Odoo model.

Formitize

QuoteAccept (Quotation)

maps to

Odoo CRM

sale.order

1:1
Fully supported

Formitize QuoteAccept quotations map to Odoo sale.order records. Quote status (Sent, Accepted, Declined) maps to sale.order.state and state transitions. Line items from the quote become sale.order.line records. This mapping requires the Odoo Sales module to be installed in the target database.

Formitize

PayNow (Payment)

maps to

Odoo CRM

account.payment

1:1
Fully supported

Formitize PayNow payment records map to Odoo account.payment records linked to the corresponding sale.order (if paid against a quote) or account.move (if paid against an invoice). Payment method (Credit Card, Apple Pay, Google Pay) is stored as a custom field or journal_id selection in Odoo.

Formitize

Attachment / Document

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Formitize file attachments on Jobs, Clients, Contacts, and Deals are exported and re-uploaded as Odoo ir.attachment records. Each attachment is linked to its parent record (res.partner, crm.lead, or project.task) via res_model and res_id. Inline images in notes are downloaded and re-hosted in Odoo's filestore.

Formitize

Formitize User / Owner

maps to

Odoo CRM

res.users

1:1
Fully supported

Formitize user records are matched to Odoo res.users by email address. Owner ID on Jobs and Deals becomes crm.lead.user_id in Odoo. Users without a matching email are flagged in the pre-migration audit; records can be assigned to a fallback user or held pending Odoo user creation.

Formitize

Formitize Custom Field (all objects)

maps to

Odoo CRM

ir.model.fields (custom, x_)

1:1
Fully supported

Every Formitize custom field requires an Odoo custom field (x_fieldname) created on the target model before migration. Text, number, date, and email types map to corresponding Odoo field types. Picklist fields require Odoo selection values to be pre-created; multi-select fields may require a custom widget or relational field depending on the Odoo version.

Formitize

Workflow / Automation Rule

maps to

Odoo CRM

No equivalent (export-for-rebuild only)

1:1
Fully supported

Formitize workflow rules have no Odoo equivalent. FlitStack exports the full workflow definition as a JSON file (workflow name, trigger conditions, action sequence, notification rules) for your Odoo admin to reference when rebuilding in Studio. No workflow data is imported into Odoo automatically.

Formitize

Zapier / Third-party Integration

maps to

Odoo CRM

No equivalent (must be rebuilt)

1:1
Fully supported

Formitize Zapier integrations connecting to Google Sheets, Slack, Calendly, or Wave cannot be migrated. Each integration must be re-created in Odoo using Odoo's native integrations, webhook modules, or a middleware platform. We provide an inventory of active Zapier zaps as part of the pre-migration audit.

Formitize

Location Zone

maps to

Odoo CRM

res.partner (custom field) or stock.location

1:1
Fully supported

Formitize Location Zones attached to addresses are evaluated for their intended use. If zones are informational labels (e.g., building names, territory tags), they map to a custom Char field (x_location_zone) on res.partner. If zone tracking is operationally significant for warehouse management or field routing, zones become stock.location records in Odoo Inventory, linked to the partner's address for location hierarchy purposes.

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.

Formitize logo

Formitize gotchas

High

Limited bulk export mechanism complicates migration scoping

Medium

Custom field schemas are per-account, not organizational templates

Medium

Workflow definitions do not transfer between platforms

Low

Asset zone and GPS data requires explicit extraction

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

  • Formitize Client-Contact 1:N collapse into Odoo's res.partner parent-child model

    Formitize allows a Contact to exist without a parent Client, and a Client can have zero or more Contacts. Odoo's res.partner requires a parent_id for contact records (or the contact is treated as a standalone company). We default orphan Formitize Contacts to standalone company partners and use parent_id for Contacts with a client_id. You must confirm whether Formitize Contacts without a parent should become Odoo companies (if they're actually businesses) or contacts with no parent (Odoo technically allows this but the relationship is not preserved). The mapping decision affects every downstream report relying on account-contact hierarchy.

  • Job pipeline stages must be isolated from deal pipeline stages in Odoo or pipeline views will mix

    Formitize Jobs have their own stage/status field independent of the Sales Pipeline. Odoo's crm.lead shares a single stage model (crm.stage) across all lead and opportunity records. If Jobs and Deals both use crm.lead in Odoo, their stages appear in the same Kanban board unless you scope stages to separate Odoo teams (crm.team). We recommend creating a dedicated 'Jobs' Odoo team and scoping Formitize Job statuses to crm.stage records belonging to that team. This requires pre-creation of the team and its stage records before migration — a configuration step your Odoo admin must complete.

  • Formitize API rate limits require batched extraction with offset/limit pagination

    Formitize's API enforces rate limits per endpoint (documented as approximately 100 requests/minute for standard endpoints). Exporting all Clients, Contacts, Jobs, Deals, and Assets requires a paginated loop with offset/limit parameters across potentially hundreds of pages for large datasets. We implement exponential backoff and batch delays between requests. The extraction phase of the migration is therefore I/O-bound rather than compute-bound, and the total extraction time for a 50,000-record Formitize account can exceed 4 hours. This timeline is visible in our pre-migration audit report and must be factored into your cutover window.

  • Formitize picklist custom fields require Odoo selection value pre-creation

    Formitize custom fields with pick-list or multi-select types map to Odoo selection or Many2many fields. Odoo requires selection values to be defined at the field level in Python or via Studio before records can be imported with those values. If your Formitize setup has 20+ picklist fields with dynamic value lists (e.g., job_type, priority levels, zone categories), each Odoo selection must be created manually or via a pre-migration script. We provide a field inventory listing every picklist field and its Formitize values; your Odoo admin creates the matching Odoo selections before the import phase begins.

  • Workflow and Zapier integrations have no Odoo equivalent — export-for-rebuild is the only path

    Formitize workflow rules (multi-step job sequences, auto-invoice creation, auto task actions, compliance notifications) and active Zapier integrations connecting to Google Sheets, Calendly, or Wave cannot be migrated to Odoo. They are Formitize-specific automation constructs. FlitStack exports the full workflow definition as a JSON file containing trigger conditions, action sequences, and notification rules. Your Odoo admin must rebuild these in Odoo Studio or using server actions. The Zapier integration inventory (active zaps) is included in the pre-migration audit. This is consistently the most underestimated migration task — plan 2–4 weeks for workflow rebuild as a parallel workstream.

Migration approach

Six steps for a successful Formitize to Odoo CRM data migration

  1. Pre-migration audit and Odoo schema scaffolding

    FlitStack AI runs a read-only audit against your Formitize API, exporting all object schemas, picklist values, custom field definitions, pipeline stage names, and workflow rules. We produce a Migration Readiness Report identifying orphaned contacts, picklist fields needing Odoo selection creation, unmapped owner emails, and the full Zapier integration inventory. Based on this report, your Odoo admin creates the required crm.team records, crm.stage records for each pipeline and job status, and custom fields (x_fieldname) on res.partner and crm.lead before data migration begins.

  2. Paginated Formitize API extraction with staged batching

    We extract Formitize data in object-specific batches (Clients, Contacts, Deals, Jobs, Assets, Attachments) using OAuth2-authenticated API calls with offset/limit pagination. Rate limits are respected via exponential backoff. Owner and user records are exported separately for email-matching against Odoo res.users. Custom field values for each object are extracted and normalized. The extraction output is validated for referential integrity — client_id references on Contacts, deal-to-client linkages, and job-to-client associations are verified before transformation.

  3. Schema transformation and field-level mapping

    Each exported Formitize record is transformed to its Odoo schema representation. Clients become res.partner with partner_type='company'. Contacts become res.partner with partner_type='contact' and parent_id set to the mapped company partner. Jobs and Deals become crm.lead records with stage_id mapped to pre-created Odoo stages. Custom fields are written to x_fieldname columns on the corresponding model. Original create dates are written to custom datetime fields (x_original_create_date). Formitize internal IDs are preserved as x_formitize_<object>_id for traceability.

  4. Sample migration with field-level diff and reconciliation

    A representative sample (200–500 records across all object types and every Formitize pipeline stage) is migrated first. We generate a field-level diff comparing source values to destination field values, including custom field preservation, stage name matching, owner resolution, and parent_id linkage. You review the diff and approve before the full migration runs. Any mapping errors, missing picklist values, or stage mismatches are corrected before proceeding. This step typically takes 4–8 hours for standard setups.

  5. Full migration with delta-pickup and rollback availability

    The full migration runs against your Odoo database. A delta-pickup window (24–48 hours) captures any records created or modified in Formitize during the migration run. Every operation is logged to an audit table including source record ID, destination record ID, field mappings applied, and timestamp. If reconciliation fails (record counts mismatch, field values out of tolerance), one-click rollback reverts all migrated records. Attachments are re-uploaded as ir.attachment records with correct res_model and res_id linkage.

  6. Post-migration handoff and workflow rebuild reference package

    We deliver a Migration Completion Report summarizing record counts by object, any unmigrated records with reasons, owner resolution results, and attachment re-upload status. The workflow JSON export and Zapier inventory are handed off for your Odoo admin to begin the automation rebuild in Odoo Studio. FlitStack provides 30 days of post-migration support for data correction requests related to the migration itself.

Platform deep dives

Context on both ends of the pair

Formitize logo

Formitize

Source

Strengths

  • All-in-one FSM platform combines CRM, forms, scheduling, assets, quoting, and invoicing without separate tool subscriptions.
  • Mobile companion app with real-time job status updates keeps field teams synchronized with office operations.
  • Pre-built industry packs for regulated verticals (pest control, food safety, building inspection) reduce initial configuration time.
  • Automation assistants handle recurring tasks: lead follow-up, invoice chasing, appointment reminders, and form actions without manual triggers.
  • JobLink client portal gives customers self-service access to job details, invoices, and documents without contacting the office.

Weaknesses

  • Performance slows noticeably when multiple forms are chained in a single workflow, limiting complex process automation on mobile.
  • Bulk data export across all modules is not natively supported — Smart Table CSV export is the primary extraction method.
  • No public API rate limit documentation creates uncertainty for customers planning automated integrations or migration scripts.
  • Feature request for exporting User Qualifications, Training, Uploads, and Notes to CSV remains unimplemented as of the latest release.
  • Regional pricing in AUD with GST exclusion adds complexity for non-Australian buyers evaluating total cost.
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 Formitize 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

    Formitize: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Formitize 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 Formitize to Odoo CRM data migrations

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

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Most Formitize-to-Odoo migrations complete in 24–48 hours of clock time for under 25,000 total records. The API extraction phase (Formitize's rate limits require paginated looping) takes 2–6 hours depending on record volume. Odoo import throughput is higher once data is transformed. Larger setups with 100,000+ records, extensive custom fields across Jobs, Clients, and Contacts, or serialized asset exports extend to 5–10 days. The longest single step is typically Odoo custom field scaffolding — your admin must create every Formitize picklist field as an Odoo selection before import runs.

Adjacent paths

Related migrations to explore

Ready when you are

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