CRM migration

Migrate from Planado to Odoo CRM

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

Planado logo

Planado

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

11 of 11

objects map 1:1 between Planado and Odoo CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Planado is a field service management platform built around tasks, field workers, GPS tracking, and checklists for industries like HVAC, cleaning, and maintenance. Odoo CRM operates in a different paradigm — its core object is crm.lead (also called opportunity), and it models relationships through res.partner for contacts and companies. The migration therefore requires a conceptual translation: Planado jobs become leads or project tasks, clients become partner contacts, and field-worker assignments become activity logs on the lead record. FlitStack AI reads Planado data via its REST API and CSV export, maps each record to its Odoo equivalent, creates any required custom fields through Odoo Studio before ingestion, and loads via Odoo's XML-RPC API or CSV import. We preserve original create dates and FSM-specific fields (GPS coordinates, checklist responses, schedule assignments) as custom fields on crm.lead since Odoo CRM has no native field-service equivalent. Assignment rules, scheduling automations, and notification triggers are Planado-specific and have no Odoo CRM equivalent — we document them for manual rebuild in Odoo's action rules and server actions.

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

Planado logo

Planado

What's pushing teams away

  • Geographic concentration — strongest in Russia, CIS, and Eastern Europe with thinner partner coverage in North America and Western Europe.
  • Pricing pages localize by region but standard tier names and exact amounts are not consistently exposed without country selection, slowing comparative evaluation.
  • Enterprise plan customization (custom API calls, custom feature set) means contract negotiation rather than self-serve sign-up.
  • Templates and job structure assume traditional FSM workflows; less specialized than vertical-specific tools (HVAC, pest control, electrical) on industry-specific compliance forms.
  • Reviewer presence on G2 and Capterra is moderate but skews toward Russian-language coverage.

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 Planado objects map to Odoo CRM

Each row shows how a Planado 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.

Planado

Planado Job

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Each Planado job maps to one Odoo crm.lead record. The job name becomes the lead name, job description maps to crm.lead description, and the job status drives the crm.lead stage value. FSM-specific fields like GPS coordinates, checklist responses, and schedule assignments are preserved as custom fields on crm.lead — Odoo CRM has no native field-service equivalent.

Planado

Planado Client

maps to

Odoo CRM

res.partner

1:1
Fully supported

Planado clients map to Odoo res.partner records with partner_type set to 'contact' for individual contacts and 'company' for organizations. Client address fields (street, city, zip, country) map directly to res.partner address fields. The primary contact email and phone map to email and phone on res.partner.

Planado

Planado Job Task

maps to

Odoo CRM

mail.activity

1:1
Fully supported

Planado task assignments on a job map to Odoo mail.activity records linked to the crm.lead. The activity type (call, email, meeting) is derived from the task type in Planado, and the assigned field worker is matched to a res.users record by email to set the activity user_id.

Planado

Planado Employee

maps to

Odoo CRM

res.users

1:1
Fully supported

Planado employee records map to Odoo res.users so that task assignments and activity logs in Odoo carry the correct owner. The employee's name and email map to res.users name and login; phone is stored in the related res.partner contact record. Unmatched employees are flagged before migration.

Planado

Planado Job Attachment

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Files attached to Planado jobs (photos, signed forms, documents) migrate to Odoo ir.attachment records with res_model set to 'crm.lead' and res_id set to the target lead ID. The original filename and file content are preserved; inline images are re-hosted in Odoo's filestore.

Planado

Planado Custom Field (Job)

maps to

Odoo CRM

crm.lead (custom field)

1:1
Fully supported

Planado custom fields on jobs that have no Odoo CRM equivalent (GPS latitude/longitude, checklist responses, dependency chains) are created as custom fields on crm.lead via Odoo Studio or Settings > Technical > Custom Fields before ingestion. FSM-specific field labels are prefixed with 'FSM_' to distinguish them from standard CRM fields.

Planado

Planado Checklist Item

maps to

Odoo CRM

Custom text field on crm.lead

1:1
Fully supported

Planado checklist items are stored as a structured text blob in Planado. Odoo CRM has no native checklist model, so checklist responses are consolidated into a single custom text field (Checklist_Responses__c) on crm.lead. Teams that need structured checklist lines can recreate them in Odoo Studio after migration using a one2many relation.

Planado

Planado Job Recurrence

maps to

Odoo CRM

Custom field on crm.lead

1:1
Fully supported

Recurring job patterns in Planado (daily, weekly, custom intervals) have no Odoo CRM equivalent — Odoo Projects can model recurring tasks, but the CRM module itself does not support recurrence. Recurrence rules are preserved as a custom text field on crm.lead for reference.

Planado

Planado Job Location

maps to

Odoo CRM

res.partner address

1:1
Fully supported

The site address associated with a Planado job maps to the client res.partner address fields. If the site is distinct from the client billing address, it is stored as a secondary contact address on the res.partner record with address_type set to 'other'.

Planado

Planado Job Cost/Revenue

maps to

Odoo CRM

crm.lead expected_revenue

1:1
Fully supported

Planado job cost and revenue values map to crm.lead expected_revenue. Odoo CRM uses this field for pipeline value calculations and forecasting. Currency is stored in a custom field since Odoo's base currency is set at the company level, ensuring that monetary values reflect the correct currency for each lead's region.

Planado

Planado Job Tags/Labels

maps to

Odoo CRM

crm.tag

1:1
Fully supported

Labels applied to Planado jobs map to crm.tag records, which can be linked to crm.lead via the tag_ids many2many relation. Tags enable Odoo CRM reporting by category even when the underlying FSM data is stored in custom fields, allowing sales and operations teams to filter leads, generate segmented views, and track performance by job type or service line.

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.

Planado logo

Planado gotchas

High

No public bulk export endpoint for full data migration

Medium

Pricing not publicly documented

Medium

Custom checklist step media attachments require separate file handling

Low

Zapier integration scope creates automation dependency risk

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

  • Odoo CRM has no native field-service scheduling model — FSM data must live in custom fields

    Planado's core value is GPS tracking, route planning, and task scheduling for field workers. Odoo CRM has no ir.route, ir.schedule, or GPS-ping equivalent at the CRM layer. We map jobs to crm.lead and preserve GPS coordinates and schedule assignments as custom fields on the lead, but the scheduling and dispatch UI that Planado provides does not translate to any native Odoo CRM view. Teams that rely heavily on Planado's scheduling features need to evaluate the Odoo Project app or a third-party FSM add-on to replicate that workflow — FlitStack documents this gap in the migration plan.

  • Planado checklist responses require manual Odoo Studio reconstruction

    Planado stores checklist item responses as a structured text field per task. Odoo CRM has no native checklist or inspection-report model. The migration consolidates all checklist data into a single custom text field on crm.lead (FSM_Checklist_Responses__c), which preserves the data but does not give field workers a structured fillable checklist in Odoo. Teams that need structured checklist lines in Odoo must rebuild them manually using Odoo Studio's one2many relation feature after the data lands — FlitStack delivers a checklist-field rebuild guide as part of the post-migration handoff.

  • Planado job dependencies have no Odoo CRM equivalent and are lost without a workaround

    Planado supports job dependency chains — Job B cannot start until Job A completes — as a native scheduling feature. Odoo CRM has no dependency or prerequisite model on crm.lead. The dependency chain is preserved as a custom text field (FSM_Job_Dependencies__c) listing related job IDs, but Odoo does not enforce or visualize these dependencies in the CRM pipeline view. If job sequencing is operationally critical, teams should consider the Odoo Project module where task dependencies are supported natively — FlitStack flags this in the migration plan and can scope a separate Odoo Project migration if needed.

  • Planado employees must have Odoo user accounts before task assignments migrate

    Planado task assignments link to employees by ID. In Odoo, task assignments become mail.activity records with user_id pointing to a res.users record. If a Planado employee has no matching email in Odoo's res.users table, their task assignments cannot resolve to an Odoo user and are flagged as unmatched before migration. FlitStack resolves owners by email match and surfaces a pre-migration user reconciliation report so teams can create Odoo accounts for any field workers who are missing them before the migration runs.

  • Odoo CRM stage values must be pre-created before job status values can map

    Planado job statuses are free-form values that teams define in their Planado settings. Odoo CRM stages (New, Qualified, Proposal Sent, Won, Lost) are pick-list values scoped to a crm.stage record with a specific sequence and team assignment. The Planado-to-Odoo status mapping requires that the target stages exist in Odoo before the migration runs. FlitStack delivers a stage mapping plan as part of the pre-migration schema setup — teams must create the target stages in Odoo CRM Settings > CRM > Stages before the data load so that status value mapping resolves correctly.

Migration approach

Six steps for a successful Planado to Odoo CRM data migration

  1. Stand up Odoo CRM schema and custom fields first

    Before any Planado data moves, your Odoo admin (or our team) creates the crm.stage records, custom fields on crm.lead (GPS, checklist, recurrence, dependency fields), and res.users accounts for all Planado employees via Odoo Settings > Users. We deliver a schema setup checklist based on your Planado custom field inventory so the Odoo side is ready before the first record is ingested.

  2. Export Planado data via REST API and CSV

    FlitStack connects to Planado's REST API (api.planadoapp.com) using your API key and exports all jobs, clients, employees, tasks, and attachments in parallel. For large datasets, we supplement with Planado's CSV export. The export captures current status, GPS coordinates, checklist responses, schedule dates, and custom field values for every record — including soft-deleted records that may need reactivation. Additional metadata such as job priority, internal notes, and client category tags are also extracted to preserve full context during the migration.

  3. Migrate clients (res.partner) before jobs (crm.lead)

    Odoo CRM requires a partner_id on crm.lead before the lead can be saved. We sequence the migration so that Planado clients are loaded into res.partner first, creating the ID mappings needed for the subsequent job load. Employee records are created as res.users in the same phase so that task assignments can resolve to a user_id when jobs are ingested. This ordered approach also ensures referential integrity across attachments and custom fields, minimizing the risk of orphaned records during the data load.

  4. Run a sample migration with field-level diff

    A representative slice — typically 200–500 records spanning jobs, clients, employees, and a few attachments — migrates into a staging Odoo database first. We generate a field-level diff comparing the Planado source values against the Odoo CRM destination fields so you can verify status mapping, GPS preservation, checklist data placement, and owner resolution before the full run commits. The staging run also validates custom field creation, checks for data type mismatches, and confirms that any required value mappings for Odoo picklist fields are correctly configured.

  5. Cut over with delta-pickup for in-flight records

    The full Planado dataset loads into Odoo CRM via XML-RPC. A delta-pickup window (24–48 hours after load completion) captures any records created or modified in Planado during the cutover. Audit log records every operation; one-click rollback is available if reconciliation fails. After the delta window closes, your team switches to Odoo CRM for all new job creation, and Planado enters a read-only archive state.

Platform deep dives

Context on both ends of the pair

Planado logo

Planado

Source

Strengths

  • GPS tracking gives real-time visibility into field worker locations and job site arrivals.
  • Checklist and report templates enforce consistent quality control across every job completed.
  • Mobile app gives field workers a dedicated interface without requiring office access.
  • Flexible scheduling with map-based route builder helps dispatchers plan efficient daily routes.
  • API-first design with Zapier integration enables external system connections.

Weaknesses

  • Limited CRM-level customer management features compared to full CRM platforms.
  • Reported lack of deep native integrations beyond Zapier, requiring workarounds for CRM and ERP connections.
  • Small team size (11 employees per LinkedIn) may limit support capacity and feature development pace.
  • Pricing and tier details are not publicly transparent, requiring direct sales contact.
  • No documented public bulk export or migration tooling on the platform itself.
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 Planado 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

    Planado: Not publicly documented as a hard ceiling. Planado offers to add additional API endpoints free of charge for integration needs that exceed standard scope..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Planado 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 Planado to Odoo CRM data migrations

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

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Most Planado to Odoo CRM migrations complete in 48–72 hours of clock time for under 50,000 records. Larger datasets with 500k+ records or FSM setups with extensive custom fields (GPS, checklists, dependencies) extend to 5–7 days. The longest step is creating Odoo CRM custom fields for FSM-specific data before the data load — pre-migration schema setup typically takes 1–3 days.

Adjacent paths

Related migrations to explore

Ready when you are

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