CRM migration
Field-level mapping, validation, and rollback between Optimiser CRM and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Optimiser CRM
Source
Odoo CRM
Destination
Compatibility
14 of 15
objects map 1:1 between Optimiser CRM and Odoo CRM.
Complexity
CModerate
Timeline
1-3 weeks
Overview
Moving from Optimiser CRM to Odoo CRM is a structural migration that resolves two major schema differences. Optimiser stores Customers, Companies, and Deals as its primary objects; Odoo separates Leads (crm.lead) from Opportunities (crm.opportunity) and uses a Convert action to transform a Lead into a sale record. We resolve that split during scoping, build Odoo's stage configuration and pipeline layout before data moves, and import records via the Odoo XML-RPC API with batch chunking and exponential backoff. Because Optimiser provides no public REST API, we extract via its built-in CSV export utility with pagination logic to ensure complete record coverage. Custom fields are enumerated per-instance before Odoo schema is built, because Odoo requires field definitions to exist before data can be loaded. Workflows, assignment rules, and triggered sequences do not migrate; we deliver a written inventory of every automation flagged by the customer during scoping, mapped to Odoo's Action Rules and Automated Actions equivalents for the customer's admin to rebuild.
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 Optimiser CRM 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.
Optimiser CRM
Contact
Odoo CRM
res.partner
1:1Optimiser Contact records map to Odoo res.partner. Standard fields (name, email, phone, street, city, country) migrate directly. Custom fields on Contact are enumerated during scoping and created as custom res.partner.fields before import. Partner addresses migrate as res.partner.address records. We use email as the dedupe key during import and preserve the original Optimiser contact ID in a custom field optim_id for reconciliation.
Optimiser CRM
Company
Odoo CRM
res.partner (company type)
1:1Optimiser Company records map to Odoo res.partner with the is_company flag set to True. Company name maps to name; domain or website maps to website. Custom properties on Company become custom res.partner.fields. Individual Contact records reference their parent Company partner via the parent_id field on res.partner. We resolve parent_id after both Company and Contact batches are loaded.
Optimiser CRM
Deal
Odoo CRM
crm.opportunity
1:1Optimiser Deals map to Odoo crm.opportunity. Deal name becomes opportunity name, deal value maps to planned_amount, expected close date maps to date_deadline, and owner maps to user_id via email resolution. Pipeline stage names are mapped via a stage-mapping table created during scoping. Lost and Won stage dispositions map to Odoo's stage probability and kanban colour coding. Deals without a matching Owner are assigned to a default Odoo user pending admin review.
Optimiser CRM
Lead
Odoo CRM
crm.lead
1:1Optimiser Lead records (where present as a separate object from Contact) map to Odoo crm.lead. Lead status maps to crm.lead.stage_id; lead score maps to a custom priority field. Odoo's crm.lead is the pre-conversion record; it becomes a crm.opportunity when the Convert action is triggered. If the customer prefers Leads to import directly as Opportunities, we set the stage to the customer's first pipeline stage and populate partner_id at import time.
Optimiser CRM
Pipeline Stage
Odoo CRM
crm.stage
lossyEach Optimiser pipeline stage is mapped to an Odoo crm.stage record within the customer's Odoo pipeline. Stage probability percentages from Optimiser migrate to the probability field on crm.stage. Stage sequence order is preserved. We configure the kanban view to match the Optimiser pipeline layout. Any Optimiser stage with zero records is flagged as an empty stage that can be archived after migration.
Optimiser CRM
Product
Odoo CRM
product.product
1:1Optimiser product records map to Odoo product.product. Product name, SKU, unit price, and cost map directly. If Optimiser products have category assignments, we create the corresponding product.category records in Odoo first. The product.product records are required before any Deal or Opportunity line items referencing products are imported.
Optimiser CRM
Activity: Call
Odoo CRM
crm.phonecall
1:1Optimiser call engagement records map to Odoo crm.phonecall. Call duration, disposition, and timestamp migrate to the corresponding phonecall fields. The related Contact or Deal reference resolves to crm.lead or crm.opportunity via the optim_id mapping. crm.phonecall must be installed separately as part of the Odoo CRM module configuration.
Optimiser CRM
Activity: Email
Odoo CRM
mail.message
1:1Optimiser email engagement records map to Odoo mail.message with model set to crm.lead or crm.opportunity and res_id set to the migrated record ID. Email subject, body, sender, and recipient migrate. mail.message is linked via mail.activity records for timeline display. Attachments are stored as ir.attachment records and linked via the relation field.
Optimiser CRM
Activity: Meeting
Odoo CRM
calendar.event
1:1Optimiser meeting records map to Odoo calendar.event. Start datetime, end datetime, location, and meeting title migrate. Attendees are resolved as crm.lead or crm.opportunity records via the optim_id mapping. Calendar event records are created after Leads and Opportunities are loaded so that partner_id references are satisfied.
Optimiser CRM
Activity: Note
Odoo CRM
mail.message
1:1Optimiser notes attached to Contacts or Deals migrate to Odoo mail.message with subtype set to comment. The body content, author, and timestamp are preserved. Notes linked to Deals inherit the crm.opportunity model and res_id reference from the parent Opportunity mapping.
Optimiser CRM
Owner
Odoo CRM
res.users
1:1Optimiser Owner records (name, email, role) map to Odoo res.users by email address match. We extract all distinct owner_ids referenced on Contact, Company, Deal, and Engagement records, then resolve against the destination Odoo res.users table. Owners without a matching Odoo user are held in a reconciliation queue for the customer's admin to provision before record import resumes.
Optimiser CRM
Tag / Label
Odoo CRM
crm.tag
1:1Optimiser tags applied to Contacts or Deals export as label values. We create matching crm.tag records in Odoo and apply them to the corresponding crm.lead or crm.opportunity via the tag_ids many2many relationship. Tag names are preserved exactly. If a tag name in Optimiser matches an existing Odoo tag, we reuse the existing record rather than creating a duplicate.
Optimiser CRM
Document / Attachment
Odoo CRM
ir.attachment
1:1Document attachments referenced by URL or stored in Optimiser's file store are downloaded locally, re-uploaded to Odoo's ir.attachment table, and linked to the correct parent record (res.partner, crm.lead, or crm.opportunity) via the res_model and res_id fields. Binary attachments migrate with original filename and MIME type preserved.
Optimiser CRM
Custom Object
Odoo CRM
Custom model (ir.model)
1:1Optimiser custom objects (instances with non-standard modules or object types beyond standard CRM) migrate to Odoo custom models created via the Odoo ORM. We create the ir.model definition, add all custom fields via res.fields, configure access rights for the relevant res.users group, and import data via XML-RPC. Custom model naming follows Odoo's naming conventions and is validated against the ORM before migration begins.
Optimiser CRM
Workflow / Automation Rule
Odoo CRM
(not migrated)
1:1Workflows, assignment rules, and triggered sequences built in Optimiser are stored in the platform's proprietary logic layer and are not accessible via export. We do not migrate automations as code. We document every active automation identified during scoping in a written checklist with its trigger conditions, actions, and recommended Odoo Action Rules or Automated Action equivalent. The customer's admin rebuilds these in Odoo Studio post-migration.
| Optimiser CRM | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | res.partner1:1 | Fully supported | |
| Company | res.partner (company type)1:1 | Fully supported | |
| Deal | crm.opportunity1:1 | Fully supported | |
| Lead | crm.lead1:1 | Fully supported | |
| Pipeline Stage | crm.stagelossy | Fully supported | |
| Product | product.product1:1 | Fully supported | |
| Activity: Call | crm.phonecall1:1 | Fully supported | |
| Activity: Email | mail.message1:1 | Fully supported | |
| Activity: Meeting | calendar.event1:1 | Fully supported | |
| Activity: Note | mail.message1:1 | Fully supported | |
| Owner | res.users1:1 | Fully supported | |
| Tag / Label | crm.tag1:1 | Fully supported | |
| Document / Attachment | ir.attachment1:1 | Fully supported | |
| Custom Object | Custom model (ir.model)1:1 | Fully supported | |
| Workflow / Automation Rule | (not migrated)1:1 | 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.
Optimiser CRM gotchas
No public API documentation for data export
Custom field schema varies by instance
Automation rules do not transfer
Limited review volume for independent evaluation
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 CSV extraction scoping
We audit the Optimiser CRM instance to enumerate all active objects, pipeline stages, custom fields, owner assignments, and activity record counts. Because Optimiser provides no API, we configure the CSV export settings and run pagination scripts to extract all records in complete batches. We request a field inventory from the customer or perform a trial export to identify every custom field in use. The discovery output is a written scope document listing all source objects, record counts, and the field-level mapping table for every custom field.
Odoo schema design and stage configuration
We design the destination Odoo CRM schema before any data moves. This includes creating custom fields on res.partner, crm.lead, and crm.opportunity via Odoo Studio or custom module code, configuring pipeline stages in CRM > Configuration > Stages to match the Optimiser pipeline layout, setting stage probabilities, and configuring the kanban view column order. The schema is deployed to a staging Odoo environment first for validation. We also install the crm.phonecall module if call activity migration is in scope.
Sandbox migration and reconciliation
We run a full migration into an Odoo staging environment using production-like data volume. The customer reviews record counts (partners in, leads in, opportunities in, activities in), spot-checks 25-50 records against the Optimiser source, and validates pipeline stage naming. Any field mapping corrections, missing stage entries, or custom field additions are resolved here. Schema sign-off from the customer is required before production migration begins.
Owner resolution and user provisioning
We extract every distinct Optimiser Owner referenced on Contact, Company, Deal, and Engagement records and match by email against the destination Odoo res.users table. Owners without a matching Odoo user are held in a reconciliation queue for the customer's admin to provision. Migration cannot proceed past this step because crm.opportunity.user_id and crm.lead.user_id are required references in Odoo's access control model.
Production migration in dependency order
We run production migration in record-dependency order: res.users (manual provisioning confirmed), res.partner for Companies, res.partner for Contacts (with parent_id resolved to Company partner), crm.lead records, crm.opportunity records (with partner_id and user_id resolved), product.product, crm.stage configuration, crm.tag, crm.phonecall, mail.message for emails and notes, calendar.event for meetings, and ir.attachment for documents. Each phase emits a row-count reconciliation report before the next phase begins. We use Odoo's XML-RPC with batch chunking and exponential backoff on rate-limit responses.
Cutover, validation, and automation rebuild handoff
We freeze Optimiser writes during cutover, run a final delta migration of any records modified during the migration window, then enable Odoo as the system of record. We validate record counts, spot-check critical Accounts and Opportunities, and confirm activity timeline continuity. We deliver the automation inventory document listing every Optimiser workflow and automation with its Odoo Action Rules equivalent. We do not rebuild automations in Odoo; that is handled by the customer's admin or an Odoo implementation partner as a separate engagement.
Platform deep dives
Optimiser CRM
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 6 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 Optimiser CRM and Odoo CRM.
Object compatibility
6 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
Optimiser CRM: Not publicly documented.
Data volume sensitivity
Optimiser CRM 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
Pick a category, then your source and destination platforms.
Category
FAQ
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