CRM migration

Migrate from Daffodil CRM to Odoo CRM

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 logo

Daffodil CRM

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

67%

8 of 12

objects map 1:1 between Daffodil CRM and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Daffodil CRM logo

Daffodil CRM

What's pushing teams away

  • Limited integration ecosystem frustrates teams that rely on third-party tools like Zapier, Outlook, or Google Workspace, as the platform lacks broad connector support.
  • Steep learning curve for advanced features — G2 reviewers note that certain features like proof growth tracking are difficult to understand without dedicated onboarding.
  • Small customer base and minimal market visibility make it risky for growing teams concerned about long-term vendor stability and support availability.
  • Users report the platform needs more work on seamless integrations, indicating gaps in API connectivity and data sync with external systems.

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 Daffodil CRM objects map to Odoo CRM

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

maps to

Odoo CRM

res.partner (contact type)

1:1
Fully supported

Daffodil 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

maps to

Odoo CRM

res.partner (company type)

1:1
Fully supported

Daffodil 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

maps to

Odoo CRM

crm.lead (opportunity)

1:1
Fully supported

Daffodil 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)

maps to

Odoo CRM

crm.activity + mail.message

1:many
Fully supported

Daffodil 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

maps to

Odoo CRM

ir.model.fields (custom)

lossy
Mapping required

Daffodil 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

maps to

Odoo CRM

res.users

1:1
Fully supported

Daffodil 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

maps to

Odoo CRM

crm.tag

lossy
Fully supported

Tags 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)

maps to

Odoo CRM

crm.lead (type = lead)

1:1
Fully supported

If 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

maps to

Odoo CRM

ir.attachment reference list

1:1
Fully supported

File 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)

maps to

Odoo CRM

mail.message

1:1
Fully supported

Daffodil 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

maps to

Odoo CRM

crm.stage

lossy
Fully supported

Daffodil 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

maps to

Odoo CRM

crm.team

1:1
Fully supported

If 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).

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.

Daffodil CRM logo

Daffodil CRM gotchas

High

No publicly documented REST API

Medium

Custom schema requires manual field mapping

Medium

No standalone product page or pricing

High

Vendor dependency for data 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

  • No public API on Daffodil CRM requires vendor coordination

    Daffodil CRM does not have a publicly documented REST API or developer portal. Migration depends on CSV exports negotiated directly with Daffodil Software, or direct database access where the vendor relationship permits. We must confirm the export method during the discovery call. If only CSV is available, we handle large datasets in chunks and preserve relational links via matching fields (company name, contact email) rather than numeric IDs, since exported CSVs may not include primary keys. If the relationship with Daffodil Software has ended or the vendor is unresponsive, we explore manual CSV extraction from the application's UI export functions or fallback to database-level reads if credentials are available.

  • Custom schema variance requires per-project field inventory

    As a custom-built CRM, Daffodil CRM's field names, types, and relationships vary per customer implementation. There is no standard object reference to rely on. The CRM may use field labels that differ from API names, custom fields on standard objects, or entirely non-standard object structures that map to Daffodil Software's implementation stack. We request a full field inventory from the customer before mapping begins: a list of every field visible in the Daffodil CRM UI for Contacts, Companies, Deals, and Activities, including the field type, required/optional status, and any picklist values. We build a custom field map for each migration project and validate it against a sample export before running the full migration.

  • Parent-record lookups require manual reconstruction in CSV export

    Daffodil CRM's CSV exports do not consistently include numeric record IDs that would allow foreign-key relationships to be reconstructed in the destination. Contact-to-company links, deal-to-contact links, and activity-to-record links rely on matching fields (contact email, company name, deal name) rather than stable IDs. We establish a deterministic matching strategy during scoping: contacts are matched to companies by company_name in the contact record; deals are matched to contacts by contact email in the deal record. If the customer's Daffodil data contains duplicate company names or contact emails, we flag these during data audit and the customer decides on a dedupe strategy before import.

  • Multi-select picklist values require reformatting for Odoo selection fields

    Daffodil CRM custom fields of type multi-select picklist (tags stored as multiple selections per record) export as comma-separated strings or as separate rows per value depending on the export configuration. Odoo selection fields store a single key-value pair per record. We flatten multi-value strings into a serialized format that the customer's Odoo admin can re-split into Odoo tags or store as a single text field with the original comma-separated value. The customer chooses the format during scoping. If Odoo Studio is available, we can configure multi-select widget behavior for custom fields.

  • Attachment binary content does not migrate reliably

    File attachments stored within Daffodil CRM (uploaded documents, images, signed PDFs) are not reliably exportable via the application's CSV export mechanism. We export attachment metadata (filename, file type, upload date, related record) as a reference list and provide it to the customer's admin for manual re-upload after migration. If the customer has direct database access to Daffodil CRM, we can extract binary blob fields from the underlying database and reconstruct them as ir.attachment records in Odoo, but this requires elevated database credentials and is scoped as a separate task with a data handling agreement.

Migration approach

Six steps for a successful Daffodil CRM to Odoo CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Daffodil CRM logo

Daffodil CRM

Source

Strengths

  • Dashboard and reporting views are accessible and easy to use for non-technical team members in small businesses.
  • Custom CRM development services allow for industry-specific or company-specific customization beyond off-the-shelf capabilities.
  • Cross-functional coordination across sales, marketing, and service is a stated design goal, appealing to unified workflow teams.
  • Mobile-first CRM approach ensures the interface is responsive and functional on mobile devices for field teams.

Weaknesses

  • Very small market share (0.00%) and customer base (~16-17 customers) raise concerns about product maturity and long-term viability.
  • No publicly documented API or export mechanisms make data portability uncertain without direct Daffodil Software engagement.
  • Limited third-party integrations compared to established CRMs like Salesforce, HubSpot, or Zoho.
  • G2 reviewer feedback highlights confusing advanced features and integration gaps that are not fully resolved.
  • Pricing is not publicly published, making it difficult to evaluate cost-effectiveness without direct sales contact.
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. 2 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 Daffodil CRM and Odoo CRM.

  • Object compatibility

    B

    2 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

    Daffodil CRM: Not applicable.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Daffodil CRM 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 Daffodil CRM to Odoo CRM data migrations

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

Can't find your answer?

Walk through your Daffodil CRM to Odoo CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between three and five weeks for accounts under 10,000 Contacts and 2,000 Deals where Daffodil Software cooperation is straightforward and custom field count is under 20. Migrations requiring direct database access negotiation, extensive custom field translation (more than 30 custom fields), multi-company structures, or large activity histories move to six to ten weeks because of schema reverse-engineering time, data cleaning scope, and Odoo custom field creation via developer mode. The primary timeline risk in this pair is Daffodil Software's responsiveness in providing data exports; we build buffer time into the schedule if the vendor relationship is uncertain.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Daffodil CRM.
Land in Odoo CRM, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day