CRM migration

Migrate from Pawa to Odoo CRM

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

Pawa logo

Pawa

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

50%

6 of 12

objects map 1:1 between Pawa and Odoo CRM.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Pawa to Odoo CRM is a structural migration that moves field-team data into a modular ERP ecosystem. Pawa stores Contacts, Companies, and Deals with offline-first mobile access; Odoo CRM models the same records on its res.partner (Contacts), crm.lead (Leads and Opportunities), and crm.team (Pipeline) objects. The key migration work is preserving the Company-to-Contact linkage (Pawa links contacts to companies; Odoo links partners to teams and uses contact addresses on the partner record), mapping Pawa's custom field types to Odoo's field definitions, and configuring pipeline stages in Odoo before Deals are imported. We do not migrate file attachments because Pawa's API does not expose them, and we flag this during scoping so the customer can download and re-upload manually post-migration. Workflows, automated actions, and Odoo Studio customizations do not migrate as code; we deliver a written inventory of any automation requiring rebuild in Odoo Workflow or Studio.

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

Pawa logo

Pawa

What's pushing teams away

  • Limited public documentation and API transparency make it difficult for technical teams to evaluate the platform's data export capabilities before committing.
  • The platform appears to be better optimized for Android devices, leading Apple users to feel underserved and to seek alternatives with consistent cross-platform support.
  • Small review volume on G2 (only 2 reviews) makes it hard for prospective buyers to assess long-term reliability and support quality, prompting some to choose more established CRMs.

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 Pawa objects map to Odoo CRM

Each row shows how a Pawa 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.

Pawa

Contact

maps to

Odoo CRM

res.partner (Contact type)

1:1
Fully supported

Pawa Contact records (name, phone, email, custom fields) map to Odoo res.partner records with partner_type = contact. Email maps to email field, phone to phone or mobile depending on Pawa field name. We preserve the original Pawa contact ID in a custom field x_pawa_id for reconciliation. Custom fields discovered at scoping time are mapped to equivalent Odoo field types (char, text, selection, boolean, integer, float) before import. If Pawa exposes a company_id on the contact record, we resolve the partner ID from the Company migration phase before writing contacts.

Pawa

Company

maps to

Odoo CRM

res.partner (Company type)

1:1
Fully supported

Pawa Company records map to Odoo res.partner with partner_type = company. Company name maps to the partner name field; address fields (street, city, country) map to Odoo's address fields on the partner record. We create company partners first in the migration sequence so that contact records can reference them via the parent_id relationship on res.partner. If Pawa exposes contacts linked to a company, those contacts receive parent_id = the company partner ID in Odoo.

Pawa

Deal

maps to

Odoo CRM

crm.lead (Opportunity)

1:1
Fully supported

Pawa Deal records (value, stage, linked contacts) map to Odoo crm.lead with type = opportunity. Deal value maps to the expected_revenue field; deal stage maps to stage_id in Odoo CRM. We create the pipeline stages in Odoo during configuration before importing deals so that stage_id references are valid at import time. Linked contacts are resolved by matching Pawa contact ID to the x_pawa_id field we set during the contact migration phase.

Pawa

Pipeline Stages

maps to

Odoo CRM

crm.stage

lossy
Mapping required

Pawa pipeline stages are enumerated at scoping time and mapped to Odoo crm.stage records within the relevant crm.team or pipeline. We preserve stage ordering using the sequence field on crm.stage. If Pawa exposes stage probability values, we set them on the stage records; otherwise we use Odoo CRM defaults. Each stage is created in the Odoo CRM pipeline before any deal records are imported.

Pawa

Custom Fields

maps to

Odoo CRM

ir.model.fields (custom)

lossy
Mapping required

Pawa custom fields on Contacts and Companies are discovered via API at scoping time. We create equivalent Odoo custom fields on res.partner using Odoo Studio or direct field creation before migration begins. Field types are mapped: text inputs become char or text depending on length; number inputs become integer or float; checkbox inputs become boolean. Selection fields in Pawa become selection fields in Odoo with the same option labels.

Pawa

Tags

maps to

Odoo CRM

res.partner.category

lossy
Mapping required

Pawa tag strings stored as arrays on contact and company records map to Odoo res.partner.category records (Tag model). We create the tag records in Odoo during migration, then write the category_id many2many relationship on each partner record. Odoo's tag model supports color coding which can be mapped from any tag metadata in Pawa if available.

Pawa

Users

maps to

Odoo CRM

res.users

1:1
Mapping required

Pawa user records (name, email, role) map to Odoo res.users by email match. We extract all distinct owners referenced on Pawa records during scoping and check for matching Odoo users by email. Any Pawa owner without a matching Odoo user is flagged in the migration plan for the customer to provision before migration. Inactive users in Pawa are excluded unless the customer requests otherwise.

Pawa

Field Records

maps to

Odoo CRM

crm.lead or custom model

1:many
Fully supported

Pawa Field Records, which are the offline-collected data entries that are core to Pawa's value proposition, are mapped to Odoo crm.lead records or to a custom Odoo model if the customer has configured one. We evaluate the Field Record schema at scoping and recommend whether they map to Opportunities, to a custom crm.field.record model, or to project.task if they represent work orders. The customer selects the destination model during configuration.

Pawa

Attachments

maps to

Odoo CRM

none

1:1
Not supported

Pawa does not expose file attachments via its documented API. We do not migrate attachments and exclude them from the record count used to scope migration timelines and pricing. Before migration, we provide a list of attachment-bearing records so the customer can manually download files from Pawa and upload them to Odoo using the Documents app or ir.attachment records post-migration.

Pawa

Activity history

maps to

Odoo CRM

mail.message / crm.track

1:1
Fully supported

If Pawa exposes activity timestamps or notes on contact or deal records, we map them to Odoo mail.message records linked to the res.partner or crm.lead via model, res_id, and message_type fields. Note content becomes body field in mail.message; timestamps become date fields. If Pawa does not expose activity data via API, we document this gap in the migration report and note that activity history is not migratable from this source platform.

Pawa

User roles / permissions

maps to

Odoo CRM

res.groups

lossy
Fully supported

Pawa user roles are mapped to Odoo access groups (res.groups) during configuration. We read the available roles from Pawa at scoping and create corresponding Odoo groups (Sales Manager, Salesperson, Field User) before user migration. Group membership is assigned based on the role mapping defined during the discovery call. Odoo's default access rights model (Security Administrator, User, Portal) is used as the baseline.

Pawa

Integrations / webhooks

maps to

Odoo CRM

ir.config_parameter

lossy
Fully supported

Any third-party integrations connected to Pawa are documented during scoping and flagged as requiring reconfiguration in Odoo. We do not migrate integration credentials or webhook endpoints. The migration deliverable includes a written integration map listing each connected system, the data it syncs, and the recommended Odoo equivalent (native app, Odoo App Store module, or custom integration). The customer reconfigures integrations post-migration.

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.

Pawa logo

Pawa gotchas

High

No publicly documented bulk data export endpoint

High

Attachment files are not exposed via API

Medium

Small review sample limits platform reliability assessment

Low

Android preference may affect iOS user experience post-migration

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

  • Pawa has no publicly documented bulk export endpoint

    Pawa does not publish a bulk export or batch API endpoint in its available documentation. We request API credentials during scoping and enumerate available endpoints by testing the live API. If full data export is not accessible via API, we work with the customer to export records manually via any available report or CSV download feature in Pawa and validate the resulting dataset against the live schema before mapping. This manual export path adds one to two weeks to the discovery phase and increases migration complexity because the exported CSV may not preserve the Company-to-Contact relationship references that a linked export would carry.

  • Attachment files are not exposed via Pawa API

    Pawa's API does not expose file attachments in a publicly documented endpoint. We do not migrate attachments; we flag their existence in the source account and document which records carry them so the customer can manually download and re-upload to Odoo. We exclude attachments from the record count used to scope migration timelines and pricing. If the customer has a large attachment volume (photos, signed documents, field reports), they should plan for a parallel manual migration of these assets after the record migration completes.

  • Odoo CRM custom field creation requires configuration before data import

    Odoo requires custom fields to be created in the target schema before records containing those fields can be imported. If Pawa uses custom fields that are not discoverable until the API is tested at scoping, we may need to run a second pass of field mapping after the Pawa schema is confirmed. We mitigate this by requesting API access at the start of discovery and validating all field names and types against a live Pawa connection before committing to the field map. If Pawa's API does not enumerate custom fields, we ask the customer directly for a field inventory during the scoping call.

  • Odoo CRM support quality is a documented concern in user reviews

    Multiple sources, including Reddit discussions on r/CRM and Odoo user reviews, cite customer support as Odoo's weakest category. Teams migrating to Odoo CRM should plan for a support strategy that includes the Odoo Community forums, official Odoo Enterprise support (if licensed), or a certified Odoo partner for configuration questions. We do not provide post-migration Odoo support or configuration advice as part of the migration scope. We deliver the migrated data and the automation inventory; Odoo configuration and support post-migration are outside our standard engagement.

  • Pawa's small review sample limits reliability assessment

    Only two verified reviews exist on G2 for Pawa, making it difficult to establish consistent patterns around API behavior, support responsiveness, and long-term platform stability. We encourage customers migrating away from Pawa to validate Odoo CRM's SLA, support tier, and mobile app feature parity against the volume of data and the field conditions they plan to manage post-migration. The migration plan includes a recommendation on Odoo edition (Online,.sh, or self-hosted) based on the customer's infrastructure preferences and data residency requirements.

Migration approach

Six steps for a successful Pawa to Odoo CRM data migration

  1. Discovery and API enumeration

    We request Pawa API credentials and enumerate available endpoints against the live account. We document the schema for Contacts, Companies, Deals, Tags, and any custom fields or Field Records. If the bulk export endpoint is not accessible via API, we assess the available manual export options (CSV download, report feature) and validate the resulting dataset against the live schema. We also enumerate Pawa user accounts, roles, and deal stage names during this phase. The discovery output is a written migration scope, a confirmed field map, and an explicit list of any data that cannot be accessed via API (including attachments).

  2. Odoo CRM schema configuration

    We configure the destination Odoo CRM environment before any data migration begins. This includes installing the CRM app, creating pipeline stages mapped to Pawa's deal stage names, creating custom fields on res.partner and crm.lead that match Pawa's custom field definitions, setting up res.partner categories for tag migration, and creating res.users for any Pawa owners that have a matching Odoo user by email. We configure this in a sandbox or staging Odoo instance first, validate the schema with a test import of a small record set, and obtain customer sign-off before proceeding to production migration.

  3. Sandbox migration and reconciliation

    We run a full migration into the Odoo sandbox environment using production-like data volume extracted from Pawa. The customer reconciles record counts (Contacts in, Companies in, Deals in), spot-checks 25-50 random records against the Pawa source, and validates that Company-to-Contact relationships are preserved in Odoo. Any field mapping corrections, stage configuration issues, or custom field gaps are resolved in sandbox before the production migration plan is finalized. This step is critical when Pawa's API does not expose a bulk export endpoint, because the manual export file format may require format transformation before it can be imported into Odoo.

  4. Owner reconciliation and User provisioning

    We extract every distinct Pawa owner referenced on Contact, Company, and Deal records and match by email against the Odoo destination User table. Owners without a matching Odoo User are placed in a reconciliation queue. The customer's Odoo admin provisions missing Users (active or inactive based on whether the original Pawa user is still active) before the production migration phase begins. Owner resolution is a prerequisite for Deal import because Odoo CRM requires an OwnerId on crm.lead records.

  5. Production migration in dependency order

    We run production migration in record-dependency order: res.partner records for Companies (first, because contacts reference them), res.partner records for Contacts with parent_id set to the company partner ID, crm.lead records for Deals with partner_id and user_id resolved, res.partner.category records for Tags with many2many relationship written after partner creation, and mail.message records for activity history if available from Pawa. Each phase emits a row-count reconciliation report before the next phase begins. We use Odoo's CSV import or XML-RPC create operations with batch chunking appropriate to the record volume.

  6. Cutover, validation, and automation handoff

    We freeze Pawa record creation during the cutover window, run a final delta migration of any records modified during the migration period, and enable Odoo CRM as the system of record. We validate record counts and spot-check critical records (highest-value deals, key contacts) against the source. We deliver a written automation inventory documenting any Pawa automations or workflow rules that require rebuilding in Odoo Workflow, Odoo Studio, or server actions. We do not rebuild automations as part of the standard migration scope. Post-migration, we support a one-week hypercare window for reconciliation issues raised by the customer during initial Odoo CRM use.

Platform deep dives

Context on both ends of the pair

Pawa logo

Pawa

Source

Strengths

  • Works reliably in low-connectivity and offline environments for field data collection.
  • Cross-device compatibility across Android, tablets, and mobile phones.
  • Straightforward mobile interface suitable for non-technical field users.

Weaknesses

  • Very limited public API documentation and low review volume hinder technical evaluation.
  • Appears to favour Android over iOS, creating an inconsistent experience for mixed-device teams.
  • No publicly documented bulk export mechanism, which complicates large-scale migrations.
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?

Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

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

  • Object compatibility

    C

    4 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

    Pawa: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Pawa 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 Pawa to Odoo CRM data migrations

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

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Most migrations land between two and four weeks for accounts under 5,000 Contacts and 1,000 Deals when Pawa's API supports automated export. Migrations requiring manual CSV export (when bulk API is not accessible), complex custom field mapping across more than 10 custom fields, or Odoo pipeline configuration with multiple sales teams move to five to nine weeks because of the additional data extraction and validation work required at the source.

Adjacent paths

Related migrations to explore

Ready when you are

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