CRM migration

Migrate from Ready_ to Odoo CRM

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

Ready_ logo

Ready_

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

58%

7 of 12

objects map 1:1 between Ready_ and Odoo CRM.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Ready_ to Odoo CRM is a cross-platform structural migration. Ready_ uses separate Contact and Company objects with sequential REST API reads required because no bulk export endpoint is documented. Odoo CRM stores leads and contacts as res.partner records using a company_type field to distinguish persons from organizations, which means Ready_ Companies map to res.partner with company_type=company and Ready_ Contacts map to res.partner with company_type=person, linked via parent_id. Deals attach to named Pipelines and Stages that we must enumerate and map explicitly during scoping. Owner assignments in Ready_ use internal Team Member IDs that are meaningless in Odoo; we resolve those IDs to email addresses first, then match or provision the corresponding res.users records before assigning ownership. Odoo's XML-RPC API enforces a 1-call-per-second throttle on external API access, so we batch records into groups of 50 with deliberate delays during insert. We do not migrate automations, sequences, or workflow rules; we deliver a written inventory of these for the customer's admin to rebuild in Odoo Studio or via 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

Ready_ logo

Ready_

What's pushing teams away

  • Limited advanced features cause teams to outgrow Ready_ as they scale, prompting migration to platforms like HubSpot or Salesforce that offer more sophisticated automation and reporting.
  • Absence of robust integrations with tools like Zapier, Slack, or Gmail means manual workarounds become necessary, reducing efficiency over time.
  • Users report that the platform lacks depth in analytics and reporting, making it difficult to generate the insights that growing teams require.
  • Minimal customization options for workflows and fields force teams with complex sales processes to seek platforms that offer greater flexibility.

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 Ready_ objects map to Odoo CRM

Each row shows how a Ready_ 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.

Ready_

Contact

maps to

Odoo CRM

res.partner (company_type = person)

1:1
Fully supported

Ready_ Contact records map to Odoo res.partner with company_type = 'person'. Standard fields (name, email, phone, street, city, state, country, zip) migrate directly to the corresponding Odoo partner fields. If the Ready_ Contact is associated with a Company record, we set parent_id on the res.partner to point to the corresponding company-type partner. Custom fields on the Contact migrate to res.partner custom fields created in Odoo via Studio or module definition before import. Email uniqueness is enforced as a partner dedupe key during insert.

Ready_

Company

maps to

Odoo CRM

res.partner (company_type = company)

1:1
Fully supported

Ready_ Company records map to Odoo res.partner with company_type = 'company'. The company name maps to name, domain to website, and firmographic fields (industry, employee_count, annual_revenue) migrate to custom fields on the company partner record. Related Contacts import after the parent Company partner so that parent_id references resolve at insert time. We create the company partner first in every batch to satisfy the foreign key constraint.

Ready_

Deal

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Ready_ Deals map to Odoo crm.lead records. The deal value maps to planned_revenue, expected_close_date maps to date_deadline, and owner_team_member_id resolves to the res.users id via the email lookup table we build during owner reconciliation. Pipeline and Stage assignment requires a pre-migration mapping table because Ready_ allows fully custom pipeline and stage names. We create an Odoo Sales Team per unique Ready_ pipeline and map the stage names to Odoo stage sequence values.

Ready_

Activity

maps to

Odoo CRM

mail.activity

1:1
Fully supported

Ready_ Activities (calls, emails, tasks) map to Odoo mail.activity records. The activity type (call, email, task) maps to activity_type_id, which we configure as custom activity types in Odoo CRM before migration. The timestamp, notes, and linked Contact or Deal reference migrate to the corresponding Odoo fields. We resolve the activity's linked record reference to the Odoo res.partner or crm.lead id before insert. Activity chaining and sequence order are preserved in the Odoo activity's note or in a custom sequence field if the customer's workflow depends on ordering.

Ready_

Pipeline Stage

maps to

Odoo CRM

crm.stage

lossy
Fully supported

Each unique pipeline name in Ready_ becomes a Sales Team in Odoo, and each stage name within that pipeline becomes a crm.stage record attached to that team. Stage sequence order migrates from Ready_ to Odoo's sequence integer. If the customer uses multiple pipelines with overlapping stage names, we scope the stage to the team to prevent collisions. Odoo's stage wizard_states (draft, open, won, lost) are assigned based on the stage name semantics collected during scoping.

Ready_

Custom Fields (Contacts)

maps to

Odoo CRM

res.partner custom fields

lossy
Fully supported

Ready_ custom fields on Contacts (text, number, date, picklist) migrate to Odoo res.partner custom fields. We create the field definitions in Odoo before importing any Contact data, matching field type (char for text, integer for number, date for date, selection for picklist). Picklist values in Ready_ map to Odoo selection option tuples. Custom field values migrate as part of the Contact partner insert.

Ready_

Custom Fields (Companies)

maps to

Odoo CRM

res.partner custom fields (company type)

lossy
Fully supported

Ready_ custom fields on Companies migrate to res.partner custom fields using the same type-mapping logic as Contact custom fields. Because company-type partners and person-type partners share the same res.partner model, both Contact and Company custom fields live on the same Odoo model. We distinguish them during scoping by recording which fields apply to which company_type so that the Odoo admin knows which fields appear on which partner view.

Ready_

Custom Fields (Deals)

maps to

Odoo CRM

crm.lead custom fields

lossy
Fully supported

Ready_ custom fields on Deals migrate to Odoo crm.lead custom fields. We create the field definitions in Odoo via Studio or module XML before importing any lead data. The type mapping follows the same rules as Contact custom fields. Custom field values migrate as part of the crm.lead insert.

Ready_

Team Member

maps to

Odoo CRM

res.users

1:1
Fully supported

Ready_ Team Members represent users and store name and email. We extract every distinct Team Member ID referenced on Deals, Activities, and Contacts, resolve the ID to the email address, then match against the destination Odoo res.users table. If a matching User does not exist, we flag it in the owner reconciliation queue and the customer's Odoo admin provisions the User before migration continues. Owner assignments on crm.lead and mail.activity reference res.users id.

Ready_

Note

maps to

Odoo CRM

mail.message

1:1
Fully supported

Ready_ Notes attached to Contacts or Deals migrate to Odoo mail.message records as internal notes (message_type = 'comment', subtype = 'note'). The note body migrates as the message body, the linked record resolves to the corresponding res.partner or crm.lead id, and the original timestamp preserves the activity date. Attachments on Notes migrate as ir.attachment records linked via the res_model and res_id to the mail.message.

Ready_

Deal Stage

maps to

Odoo CRM

crm.stage sequence position

lossy
Fully supported

The Ready_ Deal Stage is extracted from the Deal record and maps to the sequence integer on the corresponding Odoo crm.stage within the appropriate Sales Team. Stage probability percentages from Ready_ map to Odoo's optional stage_hardness or a custom probability field if the customer uses stage-based forecasting. We build the complete stage sequence map during scoping before any Deal records are imported.

Ready_

Contact-Company Association

maps to

Odoo CRM

res.partner parent_id link

1:1
Fully supported

Ready_ maintains an association between Contact and Company records. During migration, we read the association table, extract the Company ID and Contact ID for each pair, then set parent_id on the Contact's res.partner record to reference the Company partner's res.partner id. This establishes the Odoo partner hierarchy used for displaying child contacts under the parent company in Odoo's partner views and reporting.

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.

Ready_ logo

Ready_ gotchas

High

No documented bulk export endpoint

Medium

Pipeline and stage names require explicit mapping

Medium

Owner assignments rely on Team Member IDs that do not persist across systems

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

  • Ready_ lacks a bulk export endpoint

    Ready_ does not publicly document a bulk export or batch API endpoint. Data extraction requires sequential REST API reads across Contacts, Companies, Deals, and Activities with pagination. We handle this by chunking reads at 200 records per request, sequencing reads to avoid rate-limit pressure, and resuming from pagination tokens on timeout. This approach is reliable but extends extraction time compared to platforms with bulk endpoints. We flag the extraction timeline in the project schedule before migration begins so that the customer can plan a freeze period on the source system.

  • Odoo XML-RPC API throttled to 1 call per second

    Odoo's external API enforces a rate limit of approximately 1 call per second for unsustained usage per the Odoo Acceptable Use policy. For large record sets, we batch inserts using Model.create() with a list of records passed in a single call, reducing the per-record call count. Even with batched create(), we insert in chunks of 50 records with a 60-second delay between batches to remain within the 1-call-per-second guideline. Skipping this delay results in 403 throttling responses that require retry with exponential backoff, extending the migration window.

  • Pipeline and stage names require explicit mapping before import

    Ready_ allows fully custom pipeline and stage names with no enforced naming convention. Odoo CRM stages are configured per Sales Team within the CRM module and must be created before Deal records can reference them. We collect the full pipeline configuration from the source account during scoping and build a mapping table: each unique Ready_ pipeline becomes an Odoo Sales Team, and each stage name becomes a crm.stage record within that team. Without this pre-mapping step, deals land in a default stage or cause import failures because the stage_id reference is null on a required field.

  • Owner IDs from Ready_ do not persist across systems

    Ready_ Deals and Activities assign owners by internal Team Member ID, which is meaningless in Odoo. We resolve Team Member IDs to email addresses during extraction, then match those emails to existing res.users records in the destination Odoo instance. Owners without a matching Odoo User go to a reconciliation queue for admin provisioning. If a Team Member email matches an Odoo User that is inactive, we flag it for activation before proceeding. Migrations that skip this step result in owner_id = null on crm.lead records, breaking Odoo's assignment and notification logic.

  • Odoo res.partner serves both Contact and Company roles

    Odoo does not have separate Contact and Company objects. Both person records and organization records live in the same res.partner table, differentiated by the company_type field (set to 'person' or 'company') and linked via parent_id for hierarchy. We must map Ready_ Companies to res.partner with company_type = 'company' before importing Ready_ Contacts that reference those companies, so that the parent_id foreign key resolves at insert time. If Companies and Contacts are imported in the wrong order, parent_id references fail and Odoo creates orphaned company records.

Migration approach

Six steps for a successful Ready_ to Odoo CRM data migration

  1. Discovery and scoping

    We audit the source Ready_ account for record counts across Contacts, Companies, Deals, Activities, Notes, and custom fields. We collect the full pipeline configuration: all pipeline names, stage names per pipeline, and stage sequence order. We extract all Team Member records (name and email) for owner reconciliation. We review any custom field definitions including field type, picklist values, and which object each field attaches to. The discovery output is a written migration scope document covering record counts, a preliminary object mapping, a pipeline-to-Sales-Team mapping table, and an owner reconciliation list.

  2. Odoo schema preparation

    Before importing any records, we create the destination schema in the Odoo instance. This includes creating custom fields on res.partner (for Contact and Company custom fields) and crm.lead (for Deal custom fields) via Studio or module XML. We create Sales Teams mapped to the Ready_ pipeline names and create crm.stage records within each team with names and sequence values mapped from the Ready_ stage configuration. We create custom activity types in Odoo CRM to match the Ready_ activity types (call, email, task). All schema creation happens in a staging or sandbox Odoo environment first for validation.

  3. Owner reconciliation and user provisioning

    We extract every distinct Team Member ID referenced on Deals and Activities, resolve the ID to the email address from the Team Member record, and match against the destination Odoo res.users table. Any Team Member without a matching Odoo User is added to a reconciliation queue. The customer's Odoo admin provisions the missing Users (active status determined by whether the original Team Member is still active in Ready_). Owner reconciliation must be complete before we begin importing Deals and Activities because OwnerId is a required reference on crm.lead and mail.activity.

  4. Sequential extraction from Ready_ with pagination

    We extract data from Ready_ using sequential REST API reads in batches of 200 records. We read Contacts and Companies first, then Deals, then Activities, then Notes. Each object type uses pagination tokens to resume on timeout. We apply a read delay between batches to avoid triggering any undocumented throttling on the Ready_ side. The extracted data is staged in a CSV format with a manifest of record counts per object type for reconciliation against the destination Odoo record counts.

  5. Sandbox migration and validation

    We run a full migration into an Odoo sandbox environment using production-like data volume. We import Company partners first (res.partner with company_type = company), then Contact partners (res.partner with company_type = person with parent_id resolved), then crm.lead records with stage_id resolved from the pipeline mapping table, then mail.activity records with owner_id resolved from the user lookup table. Each phase emits a row-count reconciliation report. The customer's Odoo admin spot-checks 20-30 records against the Ready_ source and signs off the mapping before production migration begins.

  6. Production migration with rate-limit batching

    We run production migration in dependency order: Companies (res.partner company_type = company), Contacts (res.partner person type with parent_id), Custom Fields definitions (if not created earlier), Leads (crm.lead), Activities (mail.activity), Notes (mail.message). Each insert batch is limited to 50 records with a 60-second delay between batches to respect the Odoo 1-call-per-second API limit. We use Model.create() with record lists to reduce the per-record call overhead. Activities import after the parent Contacts and Deals so that the res_model and res_id references resolve.

  7. Cutover, final validation, and automation inventory handoff

    We freeze writes on the source Ready_ account during cutover, run a final delta migration of any records modified during the migration window, then enable Odoo CRM as the system of record. We deliver a written inventory of every Ready_ automation, workflow, and custom field configuration with Odoo equivalents noted for the customer's admin to rebuild in Odoo Studio. We support a one-week hypercare window for reconciliation issues raised by the customer's team. Workflow rebuilds, automation rebuilds, and training are outside the standard migration scope.

Platform deep dives

Context on both ends of the pair

Ready_ logo

Ready_

Source

Strengths

  • Predictive dialer with integrated CRM in one platform — agents move directly from auto-dialed connections to a customer record without context-switching.
  • Built-in webphone removes hardware / landline costs for outbound teams; agents call from the browser.
  • ACD, IVR, performance analytics, and a live floor map come bundled rather than as add-on modules.
  • Native integrations with major CRMs (Pipedrive, HubSpot, Salesforce, Podio, Shape, Zoho) for teams running Readymode alongside a system of record.
  • iQ tier includes caller ID reputation monitoring and Autopilot number rotation — features specifically tuned to mitigate spam-likely flagging on outbound calls.

Weaknesses

  • Per-seat pricing of $199-$249/license/month sits at the higher end of outbound dialer pricing — small teams may find lower-cost alternatives sufficient.
  • Third-party integrations are limited on the Starter tier; unlimited integrations require the iQ upgrade.
  • Caller ID reputation monitoring and Autopilot rotation are gated to iQ tier despite being core to modern outbound compliance.
  • Public API documentation is thin — most integration is built through the supported CRM connectors rather than a self-serve developer portal.
  • Note: 'Ready_' / Readymode is a predictive-dialer outbound platform, NOT a general small-team CRM — buyers searching for a generic CRM should evaluate Pipedrive, HubSpot, or Zoho instead.
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 Ready_ 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

    Ready_: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Ready_ 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 Ready_ to Odoo CRM data migrations

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

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Migrations under 15,000 Contacts, 3,000 Deals, and no custom objects land between three and five weeks. Migrations with multiple custom-named pipelines, large activity histories (over 200,000 activity records), or extensive custom field schemas move to eight to twelve weeks because of sequential API read overhead from Ready_, Odoo XML-RPC rate-limit batching that limits insert throughput, and the owner reconciliation and parent-record lookup resolution required for the res.partner hierarchy.

Adjacent paths

Related migrations to explore

Ready when you are

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