CRM migration

Migrate from DinamikCRM to Odoo CRM

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

DinamikCRM logo

DinamikCRM

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

86%

12 of 14

objects map 1:1 between DinamikCRM and Odoo CRM.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from DinamikCRM to Odoo CRM is a migration from a Turkish-market SME CRM with a per-account custom module architecture to a globally-used all-in-one ERP+CRM platform. The primary technical challenge is that DinamikCRM's schema is not shared across accounts; each subscription has a unique set of active modules and fields that we must discover at the start of every project. We enumerate the live module list via the API, extract field definitions per module, then design the Odoo destination schema before any data moves. Objects like Contacts, Companies, and Leads map to Odoo's crm.lead and res.partner models. Activities migrate as mail.message records. Custom DinamikCRM modules map to Odoo custom models or res.partner custom fields depending on their cardinality. We do not migrate module-level automation rules, notification triggers, or field-level validations; these require rebuilding in Odoo Studio or via custom Python modules post-migration.

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

DinamikCRM logo

DinamikCRM

What's pushing teams away

  • Businesses scaling beyond SME size report that the platform lacks the advanced reporting and enterprise automation features available in Salesforce or HubSpot.
  • Customers needing deep third-party integrations find the native integration ecosystem more limited compared to larger CRM platforms.
  • Some users note that while modules are customizable, advanced customizations may require support involvement rather than self-service configuration.

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 DinamikCRM objects map to Odoo CRM

Each row shows how a DinamikCRM 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.

DinamikCRM

Contact

maps to

Odoo CRM

crm.lead

1:1
Fully supported

DinamikCRM Contact records map to Odoo crm.lead. Standard fields (name, email, phone, address) map directly. We set type='lead' on import for unqualified prospects and type='opportunity' for sales-qualified records. The res.partner.id is resolved for records that have a linked Company in DinamikCRM and is stored as partner_id on the Odoo lead. Contact tags from DinamikCRM migrate as crm.tag records attached via crm.tag.rel.

DinamikCRM

Company

maps to

Odoo CRM

res.partner

1:1
Fully supported

DinamikCRM Company records map to Odoo res.partner with is_company=True. Company domain becomes the Website field and is used as a dedupe key during import. If the DinamikCRM Company has related Contacts, those Contacts import after the Company record so that partner_id is available as a foreign key. Multi-company support in Odoo requires the contacts to be assigned to the correct company_id field if the destination Odoo instance runs multi-company.

DinamikCRM

Lead

maps to

Odoo CRM

crm.lead

1:1
Fully supported

DinamikCRM Lead records map directly to Odoo crm.lead. Lead status and source information map to Odoo's stage_id and source_id fields using the stage mapping table built during scoping. Any DinamikCRM lead scoring or priority fields map to Odoo priority (stars) or a custom integer field on crm.lead. If DinamikCRM records a lead-to-contact conversion history, we preserve the original lead record as a crm.lead with type='lead' and add a note referencing the converted Contact ID.

DinamikCRM

Activity

maps to

Odoo CRM

mail.activity

1:1
Fully supported

DinamikCRM Activity entries map to Odoo mail.activity records linked to the parent crm.lead or res.partner via res_id and res_model. Activity type (call, email, meeting, task) maps to activity_type_id using Odoo's standard activity types. Note that Odoo mail.activity does not store the full email body or call transcript; we extract the activity summary as note and flag the full body as requiring migration to mail.message for records that need complete conversation history.

DinamikCRM

Appointment

maps to

Odoo CRM

calendar.event

1:1
Fully supported

DinamikCRM Appointment records map to Odoo calendar.event. Date, time, duration, attendee, and status fields map to event fields directly. We link attendees via calendar.attendee records pointing to res.partner or res.users. If the destination Odoo instance does not have the calendar module installed, appointments map as mail.activity records with activity_type_id=meeting instead. Any appointment-specific fields (location, conference link, reminder settings) are flagged as requiring Odoo calendar module activation or manual configuration.

DinamikCRM

Invoice

maps to

Odoo CRM

account.move

1:1
Fully supported

DinamikCRM Invoice records map to Odoo account.move with move_type='out_invoice' for customer invoices. Line items, totals, tax amounts, and payment status map to their Odoo equivalents. Financial fields require validation against the destination Odoo instance's chart of accounts before import because account codes vary per company configuration. We flag any DinamikCRM invoice fields (discount tiers, payment terms, aging buckets) that do not map directly to Odoo's standard invoice structure.

DinamikCRM

Feedback

maps to

Odoo CRM

rating.rating or mail.message

1:1
Fully supported

DinamikCRM Feedback entries map to Odoo rating.rating records if the helpdesk module is active, or to mail.message with internal note flags if not. Feedback rating scores map to rating.rating's rating float field (1-5 scale). Free-text feedback content migrates as mail.message body. We flag whether the Odoo instance has rating enabled and note the module activation requirement during scoping.

DinamikCRM

Custom Module

maps to

Odoo CRM

Custom Model (ir.model) or res.partner custom field

lossy
Fully supported

DinamikCRM custom modules vary per account, requiring a discovery phase before mapping. We enumerate active custom modules via API, extract their field definitions, and determine the migration strategy: high-cardinality custom records (n:1 relationships, one record per entity) become new Odoo models built as Python modules inheriting crm.lead or res.partner; low-cardinality fields (single value per Contact or Company) become custom fields on the target model via Odoo Studio. Custom module naming conventions are preserved in the Odoo model name with an x_ prefix per Odoo's custom field API. This step extends the migration timeline by one to three weeks depending on module complexity.

DinamikCRM

Pipeline

maps to

Odoo CRM

crm.stage

lossy
Fully supported

DinamikCRM pipeline stages map to Odoo crm.stage records within the relevant crm.team. Stage name, sequence order, and probability percentage migrate to stage_id. We configure the stage legend (colors) and is_won flag per stage. If DinamikCRM pipelines use custom stage logic (auto-assignment, automated actions on entry), we document the behavior as a crm.team configuration note for the Odoo admin to implement via Odoo Studio or Python override.

DinamikCRM

Deal

maps to

Odoo CRM

crm.lead (type=opportunity)

1:1
Fully supported

DinamikCRM Deal records map to Odoo crm.lead with type='opportunity'. Deal value, expected close date, and probability migrate to planned_revenue, date_deadline, and probability respectively. Owner assignment maps via email-matched res.users lookup. If a DinamikCRM Deal is linked to a Contact and a Company, we set partner_id (from the Company mapping) and contact_id (from the Contact mapping) on the Odoo opportunity. Lost deal reasons map to crm.lead lost_reason if that field is enabled in the destination Odoo instance.

DinamikCRM

Customer Support Ticket (DESK)

maps to

Odoo CRM

helpdesk.ticket

1:1
Fully supported

DinamikCRM DESK tickets map to Odoo helpdesk.ticket if the helpdesk module is active. Ticket status, priority, and assignee map directly. Conversation threads migrate to mail.message records linked to the ticket. If the destination Odoo instance does not have the helpdesk module installed, tickets map as crm.lead records with a custom ticket reference field and conversation history as mail.message. Module activation is flagged during scoping as a prerequisite for full ticket migration.

DinamikCRM

User/Owner

maps to

Odoo CRM

res.users

1:1
Fully supported

DinamikCRM Owner records map to Odoo res.users by email match. Active status, name, and login email migrate. We resolve owners by email before record import begins so that OwnerId (create_uid, write_uid) and assignment fields are satisfied on all migrating records. Owners without a matching Odoo user go to a reconciliation queue for the customer admin to provision before import resumes. Inactive DinamikCRM owners map to inactive Odoo users if historical record attribution is required.

DinamikCRM

Attachment

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

DinamikCRM file attachments linked to records export as binary content alongside record data. We map them to Odoo ir.attachment records with res_model and res_id pointing to the target Odoo model and record. Attachment metadata (filename, MIME type, file size) is preserved. Note that Odoo stores ir.attachment in the database filestore by default; large attachment volumes may require Odoo's external storage filestore configuration. We flag file storage planning during scoping for accounts with more than 10,000 attachments.

DinamikCRM

Tag/Label

maps to

Odoo CRM

crm.tag

1:1
Fully supported

DinamikCRM tag assignments on records map to Odoo crm.tag. Tags stored as multi-checkbox custom properties on Contacts or Companies become crm.tag records with a many2many relationship via crm.tag.rel. Tag names and colors migrate directly. If DinamikCRM uses hierarchical tags or tag categories, we map them to crm.tag records with parent_id hierarchy or document them as multiple tag assignments per record.

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.

DinamikCRM logo

DinamikCRM gotchas

High

Custom module schema varies per account

Medium

API documentation does not disclose rate limits

Medium

No documented bulk export endpoint

Medium

Module-level business logic may not transfer

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

  • DinamikCRM custom module schema discovery is mandatory before export

    DinamikCRM's architecture allows customers to create and modify modules freely, meaning no two accounts share the same schema. Standard API queries return only the default modules (Contacts, Companies, Leads, Activities). Customer-specific modules are invisible to standard queries and will be missed entirely without an explicit discovery phase that enumerates all active module definitions and their field lists. We run the discovery endpoint at the start of every DinamikCRM project, extract the full schema, and use it to build a custom extraction query per module. Skipping this step results in incomplete exports for accounts with custom modules, which represent the majority of DinamikCRM deployments.

  • DinamikCRM API lacks documented rate limits and bulk export

    The DinamikCRM API does not publish rate limit thresholds or quota structures, and there is no bulk or batch export endpoint available. Standard record-level pagination is the only extraction mechanism. For accounts with tens of thousands of records, this means single-record API pagination can be slow and may trigger undocumented throttling that manifests as intermittent HTTP 429 responses. We monitor response headers during extraction and implement exponential backoff dynamically. For large accounts, we may need to throttle export throughput, which extends the migration timeline beyond the baseline estimate.

  • Custom module automation rules do not transfer to Odoo

    Workflow triggers, notification rules, conditional field validations, and module-specific business logic configured within DinamikCRM are application-layer constructs that do not export as data. We migrate the underlying record data completely, but any automation logic attached to custom modules requires rebuilding in Odoo. Odoo's automation is handled via Studio (for field-level triggers), Python module overrides (for complex logic), or the Odoo website events/automation builder (for record-based triggers). We document every automation rule discovered during the schema audit and deliver a written rebuild guide per rule.

  • Odoo field mapping between CRM and Sales modules requires configuration

    Odoo CRM and Sales are separate apps that share data through linked models. Field mapping from crm.lead to sale.order or account.move is not automatic and must be configured per implementation. During migration, we map DinamikCRM Invoice fields to Odoo account.move but note that the Odoo CRM-to-Sales field synchronization requires activation of the Odoo CRM app and configuration of the crm.lead to sale.order passage workflow. We flag this as a configuration step the customer admin completes post-migration.

  • Odoo requires module activation for full ticket and appointment support

    Odoo separates CRM, Helpdesk, and Calendar into distinct apps that must be explicitly installed in the destination instance. If the destination Odoo instance does not have the helpdesk module activated, DESK tickets migrate as crm.lead records rather than helpdesk.ticket. If the calendar module is not active, appointments migrate as mail.activity records. We identify the active Odoo apps during scoping and adjust the object mapping accordingly. Module activation is a customer-admin action that we document in the migration handoff.

Migration approach

Six steps for a successful DinamikCRM to Odoo CRM data migration

  1. Module schema discovery and account audit

    We enumerate all active DinamikCRM modules via the API discovery endpoint, extract field definitions for each module, and document custom fields, relationships, and module-specific business logic. We also audit record volumes per object, active pipeline configurations, and any module-level automation rules. This phase produces a written schema map unique to the customer account. Any pre-existing Odoo instance is audited for installed apps, active custom fields, and existing crm.stage configurations. The output is a migration scope document with a module-by-module mapping table and a timeline estimate.

  2. Destination Odoo schema design and stage mapping

    We design the Odoo destination schema based on the discovered DinamikCRM modules. This includes designing crm.tag records for tag migration, configuring crm.stage records with names, sequences, probabilities, and team assignments, and building custom Odoo models via Python module if the DinamikCRM account has high-cardinality custom modules that cannot map to standard Odoo fields. If the Odoo instance is empty, we install the CRM app and configure the base pipeline before migration. Schema design is validated against the customer's Odoo instance before data work begins.

  3. User and owner reconciliation

    We extract every distinct DinamikCRM owner referenced across Contacts, Companies, Deals, and Activities and match them by email against the destination Odoo instance's res.users table. Owners without a matching Odoo user are added to a reconciliation queue. The customer provisions any missing Odoo users (active or inactive based on whether the original owner is still active in the organization). Owner resolution is a prerequisite for all record imports because OwnerId, create_uid, and write_uid references must be satisfied at import time.

  4. Staging migration and record reconciliation

    We run a full migration into the customer's Odoo staging environment (or a test database if the live instance is not ready) using production record volumes. The customer's Odoo administrator reconciles record counts against the DinamikCRM source: Contacts in, Leads in, Companies in, Deals in, Activities in. We spot-check 25-50 random records for field-level accuracy against the source. Any mapping corrections are made in this phase before the production migration. This step is essential for accounts with custom modules because the mapping table is unique per account.

  5. Production migration in dependency order

    We run the production migration in record-dependency sequence: res.users and res.partner (Companies) first, followed by crm.lead (Contacts and Leads with type assignment), then pipeline stages and crm.tag records, followed by crm.lead with type=opportunity (Deals) with partner_id and contact_id resolved, then Activities and Appointments, then Invoice records and custom module records last. Each phase emits a row-count reconciliation report. Any records modified in DinamikCRM during the migration window are caught in a final delta pass before cutover.

  6. Cutover, validation, and automation rebuild handoff

    We freeze DinamikCRM writes during the cutover window, run a final delta migration of records modified during migration, then enable Odoo as the system of record. We deliver a written automation inventory documenting every DinamikCRM workflow rule, notification trigger, and field-level validation with a recommended Odoo equivalent (Studio automation, Python override, or manual configuration). We support a one-week post-cutover reconciliation window to address data quality issues surfaced by the sales team. We do not rebuild DinamikCRM automations as Odoo automations inside the migration scope; that is documented separately for the customer's Odoo admin or implementation partner.

Platform deep dives

Context on both ends of the pair

DinamikCRM logo

DinamikCRM

Source

Strengths

  • 40+ swappable modules covering CRM, sales, support, planning, and customer management.
  • Module-level customization allows adding, removing, and tailoring functionality per business need.
  • Fast screen performance reported consistently across long-term user reviews.
  • Responsive support team that adapts the platform for non-standard business sectors.
  • 14-day free trial with no credit card required and unlimited module access during evaluation.

Weaknesses

  • Enterprise-grade reporting and analytics capabilities lag behind major CRM platforms like Salesforce and HubSpot.
  • Integration ecosystem is narrower, limiting connections to third-party tools common in larger organizations.
  • Custom module structures vary per customer, requiring manual schema discovery during each migration project.
  • Limited public documentation on API rate limits and bulk export mechanisms compared to major platforms.
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 DinamikCRM 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

    DinamikCRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your DinamikCRM 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 DinamikCRM to Odoo CRM data migrations

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

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Most DinamikCRM migrations land between four and eight weeks for accounts with fewer than 10,000 Contacts, 5,000 Deals, and no custom modules. The module discovery phase adds one to two weeks to the baseline because each DinamikCRM account has a unique schema that must be enumerated before mapping can begin. Accounts with multiple custom modules, more than 100,000 Activity records, or a multi-company Odoo destination move to ten to sixteen weeks because of custom Odoo model development and the Activity timeline migration volume.

Adjacent paths

Related migrations to explore

Ready when you are

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