CRM migration

Migrate from GBuilder to Odoo CRM

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

GBuilder logo

GBuilder

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

83%

10 of 12

objects map 1:1 between GBuilder and Odoo CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

GBuilder and Odoo CRM take fundamentally different approaches to customer data. GBuilder typically stores contacts, companies, and deals in a single unified object graph, treating them as properties of a primary record. Odoo CRM uses a separate crm.lead model (with a type field distinguishing 'lead' from 'opportunity'), a dedicated res.partner model for contacts and companies, and a customizable crm.stage model per sales team. These differences mean a GBuilder-to-Odoo migration is a schema-splitting problem as much as a data-move problem. FlitStack AI extracts GBuilder records via API, maps contacts to res.partner (creating a commercial partner for each company), splits GBuilder deals into Odoo crm.lead records by type, preserves stage-entered timestamps as x_studio custom datetime fields, and re-attaches activities and attachments to the correct Odoo IDs. Automation workflows (assignment rules, stage-triggered notifications) do not migrate — they require Odoo's automation tools to be rebuilt, but FlitStack exports the GBuilder rule definitions as a rebuild reference for your Odoo administrator. The migration runs in three passes: (1) a sample pass generating a field-level diff, (2) a full bulk pass using Odoo's xmlrpc/bulk API with de-duplication against Source_System_ID__c, and (3) a delta pickup pass capturing any GBuilder records modified during the cutover window.

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

GBuilder logo

GBuilder

What's pushing teams away

  • The user interface fails to present information clearly at each stage, overwhelming users instead of guiding them through workflows.
  • BIM process coordination with external software is difficult, creating friction for teams using multiple design tools on the same project.
  • Understanding and communicating project requirements is harder than expected, particularly for teams transitioning from simpler tools.

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 GBuilder objects map to Odoo CRM

Each row shows how a GBuilder 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.

GBuilder

Contact / Primary Record

maps to

Odoo CRM

res.partner (Contact)

1:1
Fully supported

GBuilder contacts map to Odoo res.partner records with type='contact'. GBuilder company data embedded in the contact record becomes a separate res.partner (type='company') created first, then linked via parent_id. Address fields (street, city, country) map directly to Odoo address fields.

GBuilder

Company / Primary Record

maps to

Odoo CRM

res.partner (Company)

1:1
Fully supported

GBuilder company records become Odoo res.partner with type='company'. The commercial_partner_id field is set to the company record itself. Child contacts are linked via child_ids. GBuilder company hierarchies (parent/child) map to Odoo parent_id on res.partner — the parent must be migrated before children to avoid circular reference errors.

GBuilder

Deal / Project

maps to

Odoo CRM

crm.lead (type=opportunity)

1:many
Fully supported

GBuilder deals split into Odoo crm.lead records where type='opportunity'. The partner_id on the opportunity links to the res.partner created from the GBuilder contact. Stage mapping uses a value-mapping table keyed on the GBuilder pipeline stage name. Planned revenue maps to Odoo planned_revenue; close date maps to date_deadline.

GBuilder

Lead / Prospect

maps to

Odoo CRM

crm.lead (type=lead)

1:1
Fully supported

GBuilder unqualified prospects (not yet deal-qualified) migrate as Odoo crm.lead with type='lead'. Priority, source information, and any custom fields carry over as x_ custom fields. The partner_id is only set if the lead already has an associated GBuilder contact record.

GBuilder

Pipeline Stage

maps to

Odoo CRM

crm.stage + crm.team

1:1
Fully supported

GBuilder pipeline stages map to Odoo crm.stage records scoped per crm.team. Each sales team in Odoo can have its own stage sequence; FlitStack maps GBuilder stage names to the appropriate team-stage mapping. Stage-entered timestamps are preserved as x_studio_datetime custom fields on crm.lead because Odoo does not maintain a native stage-history table.

GBuilder

Activity (Call / Email / Meeting)

maps to

Odoo CRM

mail.activity

1:1
Fully supported

GBuilder logged activities (calls, emails, meetings) migrate as Odoo mail.activity records with activity_type_id matching the GBuilder activity category. The res_model is set to 'crm.lead' and res_id to the target opportunity or lead. Original activity date and responsible user_id are preserved via email matching on the owner field.

GBuilder

Note / Log Entry

maps to

Odoo CRM

mail.message

1:1
Fully supported

GBuilder notes and log entries become Odoo mail.message records on the crm.lead. The message_type is set to 'comment' and body carries the note text. Attachments embedded in notes are extracted and reattached as ir.attachment records linked to the message.

GBuilder

Attachment / File

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

GBuilder file attachments are downloaded from GBuilder's storage, re-uploaded to Odoo's ir.attachment table with res_model='crm.lead' or 'res.partner' and the corresponding Odoo record ID. Odoo's default file size limit is 25MB per attachment; larger files are flagged for manual handling.

GBuilder

Custom Property / Field

maps to

Odoo CRM

ir.model.fields (x_ custom)

1:1
Fully supported

GBuilder custom properties are recreated as Odoo custom fields (x_ prefix via Odoo Studio or Python-defined in a custom module). Field type mapping is required: text properties become char/text fields, date properties become date fields, pick-list values become selection fields. Custom fields must be created in Odoo before the migration loads data into them.

GBuilder

Owner / Assigned User

maps to

Odoo CRM

res.users (via user_id on crm.lead)

1:1
Fully supported

GBuilder owner or assigned user is resolved by email matching against Odoo res.users. Unmatched owners are flagged before the migration runs; their records are assigned to a fallback user or held for manual reassignment. Odoo user_id on crm.lead sets the opportunity owner.

GBuilder

GBuilder User / Team

maps to

Odoo CRM

crm.team + res.users

1:1
Fully supported

GBuilder teams or groups map to Odoo crm.team records. Team members are linked via res.users membership in the team. Odoo team stages are associated with the team via team_id on crm.lead; pipeline stage visibility is scoped by team membership.

GBuilder

Multi-Company Contact Association

maps to

Odoo CRM

res.partner (child_ids) + Account Contact Relation

many:1
Fully supported

GBuilder N:N contact-to-company associations require flattening to Odoo's hierarchical model. The primary company becomes parent_id on res.partner; secondary companies are surfaced as Account Contact Relationships (a separate Odoo model) or via the partner_id on crm.lead. Your admin chooses which association model to use during the planning phase.

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.

GBuilder logo

GBuilder gotchas

High

BIM model files are not exportable via API

Medium

Custom project properties vary by project

Low

Approval chain status fields are simplified on export

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

  • GBuilder's unified object model requires a one-to-many split in Odoo

    GBuilder stores contacts, companies, and deals within a single object or primary record with properties pointing to related entities. Odoo separates contacts (res.partner), companies (res.partner, type=company), and opportunities (crm.lead) into distinct models with foreign-key relationships. A single GBuilder record often generates two or three Odoo records (company partner, contact partner, and crm.lead). If the GBuilder record has multiple company associations, it generates even more Odoo records. FlitStack resolves all foreign keys during the migration pass so that crm.lead records correctly point to res.partner ids that were created earlier in the same migration run.

  • Odoo crm.stage is per-team and must be pre-created before field mapping validates

    Odoo's crm.stage model is scoped to a crm.team, meaning each sales team can have its own pipeline stage sequence with different stage names, probabilities, and fold settings. This contrasts with GBuilder where stages are typically global. Migrating GBuilder stages into Odoo requires pre-creating crm.stage records in the target Odoo database per team before field mapping can validate stage_id references. FlitStack delivers a stage setup plan as part of the pre-migration schema plan so Odoo admins can create the stages before data lands. If a stage_id in the migration payload does not exist in Odoo, that record's stage assignment is held and flagged for manual resolution.

  • GBuilder custom properties require Odoo custom fields — field type mapping is mandatory

    GBuilder custom properties (typed fields like date, number, pick-list, text) are stored as-is in GBuilder. Odoo has no native equivalent for most of these — they must be recreated as custom fields using the x_ field name prefix (Odoo Studio) or Python-defined fields in a custom module. Field type mapping is required: GBuilder date fields become date fields in Odoo, GBuilder pick-lists become Odoo selection fields, and GBuilder multi-select fields may require a many-to-many relation in Odoo. FlitStack audits all GBuilder custom properties during the assessment phase and delivers a custom-field creation checklist before migration runs.

  • Automation workflows and sequences do not migrate — Odoo automations must be rebuilt

    GBuilder workflows (assignment rules, stage-triggered notifications, auto-follow-up sequences) are platform-native constructs that have no Odoo equivalent in the data layer. These automations must be rebuilt using Odoo's Studio automation tools, ir.actions.server, or base.automation rules. FlitStack exports GBuilder workflow definitions as a structured document (JSON or step-by-step text) so Odoo administrators can use them as a rebuild reference. This is a manual step that typically requires 1-3 days of Odoo administrator time depending on the number of automations.

  • GBuilder's N:N contact-to-company associations require a junction or flattening strategy

    GBuilder natively supports a many-to-many relationship between contacts and companies — one contact can be associated with multiple companies, and vice versa. Odoo's res.partner model uses a parent-child hierarchy (parent_id on contact points to company partner) with child_ids on the company partner listing direct contacts. This is a one-to-many model, not many-to-many. FlitStack migrates one primary company as parent_id and surfaces additional company associations as Account Contact Relationships (via the related field on res.partner) or a custom junction object — your Odoo admin selects the strategy during the planning phase before migration runs.

Migration approach

Six steps for a successful GBuilder to Odoo CRM data migration

  1. Audit GBuilder schema and export full data model

    FlitStack connects to GBuilder via API and extracts the complete schema — all objects, standard fields, and custom properties with their data types and pick-list values. This audit identifies every GBuilder custom property that will require an Odoo custom field, every GBuilder pipeline and stage that needs a corresponding Odoo crm.team and crm.stage, and every activity type (call, email, meeting, note) that maps to Odoo's mail.activity model. The output is a schema setup checklist delivered to your Odoo administrator before any data moves.

  2. Create Odoo custom fields and stage structure

    Your Odoo administrator creates the x_ custom fields (via Odoo Studio or a custom module) and pre-configures crm.team and crm.stage records matching your GBuilder pipelines and stage names. FlitStack provides the exact field name, type, and pick-list value list for each custom field so nothing is ambiguous. Until this step is complete, the migration cannot validate field-level references in Odoo.

  3. Resolve GBuilder owners to Odoo users by email

    FlitStack matches GBuilder owner and assigned-user records to Odoo res.users by email address. Unmatched owners are flagged with the GBuilder owner name and email so your team can either invite them to Odoo first or assign a fallback owner. No GBuilder record lands in Odoo without a valid user_id — orphan records due to unresolved owners are the most common post-migration data quality issue and FlitStack prevents them before the migration runs.

  4. Run sample migration with field-level diff

    A representative slice of GBuilder records (typically 100-500) migrates into a staging Odoo database. FlitStack generates a field-level diff comparing the GBuilder source values against the Odoo destination values for every mapped field. You review the diff to verify stage mapping, company-contact linkage, owner resolution, and custom property values before the full run commits. Field-level diff is the primary validation instrument — it catches value-mapping errors that record counts alone would miss.

  5. Execute full migration with delta pickup window

    The full GBuilder dataset migrates into your production Odoo database via Odoo's xmlrpc API. A delta pickup window (typically 24-48 hours) captures any GBuilder records created or modified during the cutover period so Odoo reflects GBuilder's final state at go-live. FlitStack's audit log records every create, update, and skip operation with the source GBuilder ID for reconciliation. One-click rollback reverts all migration operations if post-run validation fails.

Platform deep dives

Context on both ends of the pair

GBuilder logo

GBuilder

Source

Strengths

  • Manages large, complex engineering datasets across multiple concurrent projects without performance degradation.
  • Integrated scheduling tools tie work plans directly to project and contact records.
  • 24/7 support availability helps construction teams troubleshoot issues on live job sites.
  • Centralizes project budgets, timelines, and requirements to improve predictability.

Weaknesses

  • User interface complexity creates cognitive overload, particularly for users navigating stage-to-stage transitions.
  • BIM coordination with external software tools is limited, forcing teams to maintain parallel workflows.
  • Requirement documentation and communication features are harder to use than comparable tools.
  • Onboarding curve is steep for team members without construction-industry software experience.
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. All 8 core objects map 1:1 between GBuilder and Odoo CRM.

B

Overall complexity

Standard migration

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

  • Object compatibility

    A

    All 8 core objects map 1:1 between GBuilder and Odoo CRM.

  • 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

    GBuilder: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your GBuilder 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 GBuilder to Odoo CRM data migrations

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

Can't find your answer?

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Most GBuilder-to-Odoo migrations complete in 48-72 hours of clock time for under 25,000 records with a standard schema. GBuilder setups with more than 100,000 records, 50+ custom properties, or complex multi-company contact associations extend to 5-10 days. The longest single step is typically the pre-migration planning phase — creating Odoo custom fields and configuring pipeline stages per team — which your Odoo administrator completes before the data migration begins.

Adjacent paths

Related migrations to explore

Ready when you are

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