CRM migration
Field-level mapping, validation, and rollback between Daffodil CRM and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Daffodil CRM
Source
Odoo CRM
Destination
Compatibility
8 of 12
objects map 1:1 between Daffodil CRM and Odoo CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Migrating from Daffodil CRM to Odoo CRM is a move from a bespoke, vendor-locked CRM with no public API and fewer than 20 documented customers to a modular ERP-CRM platform with over 20,000 CRM customers and a documented XML-RPC API. The primary technical constraint is that Daffodil CRM has no publicly accessible REST API; migration proceeds via CSV export negotiated with Daffodil Software, or direct database access where the vendor relationship permits. Because Daffodil CRM is a custom-built solution, field names and object relationships vary per-customer implementation, so we request a complete field inventory from the customer before building the mapping. We map Daffodil Contacts and Companies to Odoo's Partner model (with address and contact separation), Deals to Odoo CRM Opportunities, and Activities to Odoo mail.message and crm.activity records. Custom fields migrate as Odoo custom fields created via developer mode. Attachments do not migrate reliably from Daffodil CRM via CSV; we export attachment metadata and provide a reference list for manual re-attachment. Workflows, automations, and custom modules built on Daffodil CRM do not migrate as code; we deliver a written inventory for the customer's Odoo administrator to rebuild in Studio or with Python modules.
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 Daffodil 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.
Daffodil CRM
Contact
Odoo CRM
res.partner (contact type)
1:1Daffodil CRM Contact records map to Odoo res.partner with partner_type = 'contact'. We extract contact name, email, phone, company association (via company_name field), lifecycle stage (custom property), and any custom fields. In Odoo, the contact's address fields (street, city, country) live on a separate res.partner record when the address differs from the company; we create address records as children of the parent company partner. The customer selects whether Daffodil contacts without a company association import as standalone partners or get a placeholder company created.
Daffodil CRM
Company/Account
Odoo CRM
res.partner (company type)
1:1Daffodil CRM Company records map to Odoo res.partner with partner_type = 'company'. The company's name becomes the partner name, domain or website becomes website field, and industry classification maps to custom res.partner fields if configured. We create the company partner before importing contacts so that the contact's parent_id reference is satisfied at the moment of import. Company records without contacts create standalone company partners; company records with multiple contacts receive all related contacts as children.
Daffodil CRM
Deal
Odoo CRM
crm.lead (opportunity)
1:1Daffodil CRM Deals map to Odoo crm.lead with type = 'opportunity'. We capture deal name, amount (stored as float), stage, expected close date, owner assignment, and associated contact via partner_id. The Daffodil pipeline name maps to Odoo's crm.team (sales team) or a custom pipeline stage configuration. Custom pipeline stages on Daffodil Deals create Odoo stage records in the CRM pipeline with the same probability and sequence order.
Daffodil CRM
Activity (call, email, meeting, task)
Odoo CRM
crm.activity + mail.message
1:manyDaffodil CRM activity records are flat rows with activity type, date, duration, outcome, and related contact or deal. We map call activities to Odoo crm.activity records with activity_type_id pointing to the Call category, meeting activities to the Meeting category, and email activities to the Email category. The activity body and outcome notes migrate to mail.message linked to the crm.lead. If Daffodil stores email content separately, we create mail.message records with message_type = 'email' attached to the partner or lead. Activity ordering is preserved by setting create_date to the original Daffodil timestamp.
Daffodil CRM
Custom Fields
Odoo CRM
ir.model.fields (custom)
lossyDaffodil CRM custom fields on contacts, companies, and deals require pre-creation in Odoo via Settings > Technical > Database Structure > Model Fields (developer mode) before import begins. We receive the customer's full Daffodil field inventory during scoping, map each to an Odoo field with the appropriate type (char, text, selection, float, integer, date, datetime, boolean), and create the fields as custom columns on the target model. Multi-select picklist values from Daffodil become Odoo selection fields with matching key-value pairs. We do not create custom Odoo modules; custom fields are created via the Odoo interface or directly in the database.
Daffodil CRM
User/Owner
Odoo CRM
res.users
1:1Daffodil CRM user records (sales reps, managers, admins) map to Odoo res.users by email match. We extract owner assignments from Contacts, Companies, and Deals and resolve each to an Odoo user record. Users that do not yet exist in the destination Odoo instance are placed in a reconciliation queue for the customer's Odoo administrator to provision (with login credentials and appropriate access rights) before record import resumes. Active and inactive status maps directly.
Daffodil CRM
Tag/Label
Odoo CRM
crm.tag
lossyTags applied to Daffodil CRM contacts, companies, or deals export as comma-separated values or individual rows per the customer's export format. We flatten multi-value tag fields and reassemble them in Odoo by matching tag names to crm.tag records, creating any missing tags at import time. Odoo's tag model is a simple name field with no hierarchy; if Daffodil uses a hierarchical tag taxonomy, we flatten it to a single-level tag in Odoo and document the original structure for manual categorization.
Daffodil CRM
Lead (if separate from Contact)
Odoo CRM
crm.lead (type = lead)
1:1If the customer's Daffodil CRM instance separates unqualified prospects from qualified contacts as distinct objects, the prospect records map to Odoo crm.lead with type = 'lead'. The lead status and score properties migrate to crm.lead custom fields or stage values. We check during discovery whether Daffodil uses a separate Lead concept or a single Contact object with a lifecycle stage property.
Daffodil CRM
Attachment metadata
Odoo CRM
ir.attachment reference list
1:1File attachments stored within Daffodil CRM (documents, images, uploaded files) are not reliably exportable via CSV. We do not migrate attachment binary content directly. Instead, we export attachment metadata (filename, file type, upload date, related contact or deal) as a reference list that the customer's admin uses to manually re-upload files to the relevant Odoo records after migration. If the customer has direct database access to Daffodil CRM, we can extract binary blob fields and reconstruct them as ir.attachment records in Odoo as a separate scoped task.
Daffodil CRM
Notes (free-text)
Odoo CRM
mail.message
1:1Daffodil CRM notes (free-text entries not tied to an activity type) migrate to Odoo mail.message records with message_type = 'comment' attached to the parent crm.lead or res.partner. The note body migrates as the message body, and the original creation date migrates as create_date to preserve chronological ordering on the record's chatter thread.
Daffodil CRM
Pipeline Stage
Odoo CRM
crm.stage
lossyDaffodil CRM pipeline stages map to Odoo crm.stage records within the relevant crm.team's pipeline. We preserve stage sequence order, probability percentage, and whether the stage is marked as won or lost. Closed-Lost and Closed-Won outcomes from Daffodil map to Odoo's fold and is_won flags on the respective stage record.
Daffodil CRM
Sales Team
Odoo CRM
crm.team
1:1If the customer's Daffodil CRM uses a team or department structure for deal assignment, we map these to Odoo crm.team records. Team member assignments resolve to res.users records via email matching. The crm.team's alias_name and use_leads toggle are configured to match the customer's workflow preference (lead-first vs. opportunity-first).
| Daffodil CRM | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | res.partner (contact type)1:1 | Fully supported | |
| Company/Account | res.partner (company type)1:1 | Fully supported | |
| Deal | crm.lead (opportunity)1:1 | Fully supported | |
| Activity (call, email, meeting, task) | crm.activity + mail.message1:many | Fully supported | |
| Custom Fields | ir.model.fields (custom)lossy | Mapping required | |
| User/Owner | res.users1:1 | Fully supported | |
| Tag/Label | crm.taglossy | Fully supported | |
| Lead (if separate from Contact) | crm.lead (type = lead)1:1 | Fully supported | |
| Attachment metadata | ir.attachment reference list1:1 | Fully supported | |
| Notes (free-text) | mail.message1:1 | Fully supported | |
| Pipeline Stage | crm.stagelossy | Fully supported | |
| Sales Team | crm.team1:1 | 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.
Daffodil CRM gotchas
No publicly documented REST API
Custom schema requires manual field mapping
No standalone product page or pricing
Vendor dependency for data export
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 export method confirmation
We audit the customer's Daffodil CRM instance through a combination of UI screenshots, exported field lists, and a structured data questionnaire. The primary question is the export path: CSV from the Daffodil CRM UI, CSV generated by Daffodil Software, or direct database access. We also identify the full set of objects in use (Contacts, Companies, Deals, Activities, any custom objects), estimate record volumes per object, and confirm whether the Daffodil Software relationship is active and cooperative. If the relationship is ended, we explore manual extraction paths. The discovery output is a written scope document and an export method confirmation signed off by the customer.
Field inventory and custom schema mapping
The customer provides a complete field inventory from Daffodil CRM: every field visible in the UI for each object, including field type, required/optional, and picklist values for selection fields. We compare this against Odoo's standard field model (res.partner, crm.lead, crm.activity) and identify custom fields that require creation in Odoo via developer mode. We produce a field map document that pairs each Daffodil field with an Odoo field (standard or custom), documents the transformation logic (type coercion, date format normalization, multi-select flattening), and flags any fields with no Odoo equivalent. The customer reviews and approves the field map before any Odoo configuration begins.
Odoo environment preparation
We configure the destination Odoo environment in the customer's Odoo Cloud or self-hosted instance. This includes creating custom fields on res.partner and crm.lead via Settings > Technical > Database Structure > Model Fields, configuring crm.team records to match the customer's sales team structure, setting up crm.stage records with sequence order and probability matching the Daffodil pipeline, and configuring any required crm.tag records for tag migration. If the customer uses Odoo Studio (Enterprise), we coordinate custom field creation through the Studio interface. Configuration happens in a non-production Odoo database first for validation.
Data extraction and cleaning
We coordinate with Daffodil Software or the customer's internal team to extract CSV files for each object in scope. The extraction runs in parallel with Odoo configuration. Upon receipt, we audit the CSVs for data quality: duplicate records, missing required fields, malformed dates, and inconsistent company name spellings that would break the parent-record matching strategy. We produce a data quality report with findings and a recommended cleaning action for each issue. The customer approves the cleaned dataset before import begins. This step is the most variable in timeline because it depends on Daffodil Software's responsiveness and the data's starting quality.
Staging migration and reconciliation
We run a full migration into the customer's Odoo staging environment (a non-production database) using production data volume. We validate record counts per object, spot-check 25-50 records per object for field-level accuracy against the source CSVs, and confirm that parent-record lookups resolved correctly (contacts attached to companies, deals attached to contacts). Any mapping corrections identified in staging are documented and applied to the production migration script. The customer's admin reviews the staged data and signs off before the production cutover date is confirmed.
Production migration and cutover
We freeze writes to Daffodil CRM on the cutover date, run a final delta export of any records modified since the staging migration, apply the remaining records to the production Odoo database, and validate total record counts match the staging migration. We confirm that custom fields are populated, tags are assigned, and activity history appears in the correct record's chatter. We deliver a written migration summary report with record counts, any records that could not be migrated due to data quality issues, and the attachment metadata reference list. We provide a one-week hypercare window for the customer's team to report any issues. We do not rebuild Daffodil CRM workflows or automations in Odoo; we deliver a written inventory of identified automations for the customer's Odoo administrator to rebuild using Studio or Python modules.
Platform deep dives
Daffodil CRM
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Daffodil CRM and Odoo CRM.
Object compatibility
2 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
Daffodil CRM: Not applicable.
Data volume sensitivity
Daffodil 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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