CRM migration
Field-level mapping, validation, and rollback between Pawa and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Pawa
Source
Odoo CRM
Destination
Compatibility
6 of 12
objects map 1:1 between Pawa and Odoo CRM.
Complexity
CModerate
Timeline
2-4 weeks
Overview
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.
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 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
Odoo CRM
res.partner (Contact type)
1:1Pawa 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
Odoo CRM
res.partner (Company type)
1:1Pawa 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
Odoo CRM
crm.lead (Opportunity)
1:1Pawa 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
Odoo CRM
crm.stage
lossyPawa 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
Odoo CRM
ir.model.fields (custom)
lossyPawa 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
Odoo CRM
res.partner.category
lossyPawa 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
Odoo CRM
res.users
1:1Pawa 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
Odoo CRM
crm.lead or custom model
1:manyPawa 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
Odoo CRM
none
1:1Pawa 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
Odoo CRM
mail.message / crm.track
1:1If 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
Odoo CRM
res.groups
lossyPawa 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
Odoo CRM
ir.config_parameter
lossyAny 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.
| Pawa | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | res.partner (Contact type)1:1 | Fully supported | |
| Company | res.partner (Company type)1:1 | Fully supported | |
| Deal | crm.lead (Opportunity)1:1 | Fully supported | |
| Pipeline Stages | crm.stagelossy | Mapping required | |
| Custom Fields | ir.model.fields (custom)lossy | Mapping required | |
| Tags | res.partner.categorylossy | Mapping required | |
| Users | res.users1:1 | Mapping required | |
| Field Records | crm.lead or custom model1:many | Fully supported | |
| Attachments | none1:1 | Not supported | |
| Activity history | mail.message / crm.track1:1 | Fully supported | |
| User roles / permissions | res.groupslossy | Fully supported | |
| Integrations / webhooks | ir.config_parameterlossy | 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.
Pawa gotchas
No publicly documented bulk data export endpoint
Attachment files are not exposed via API
Small review sample limits platform reliability assessment
Android preference may affect iOS user experience post-migration
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
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).
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.
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.
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.
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.
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
Pawa
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Pawa and Odoo CRM.
Object compatibility
4 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
Pawa: Not publicly documented.
Data volume sensitivity
Pawa 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
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