CRM migration

Migrate from Floww.ai to Odoo CRM

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

Floww.ai logo

Floww.ai

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

75%

9 of 12

objects map 1:1 between Floww.ai and Odoo CRM.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Floww.ai to Odoo CRM is a constrained export and a full schema reconstruction. Floww.ai has no public REST API, so every record type must be extracted through the platform's manual CSV export utility, with row limits handled by sequencing multiple filtered exports and merging before writing. Odoo CRM receives Leads (Floww.ai Contacts and Leads merged), Opportunities (from Floww.ai Deals with pipeline and stage resolution), Activities (calls, emails, meetings, tasks), Tags, and Custom Object records. Floww.ai Pipelines with non-linear stages require Odoo stage configuration that mirrors the original stage order and naming. Custom Objects use non-standard relationship cardinalities in Floww.ai that must be mapped to Odoo custom model definitions before any data insert. Workflows, Flows, and Dashboards do not migrate; we deliver a written inventory of every active Floww.ai workflow requiring Odoo Automated Actions or Studio automation rebuild 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

Floww.ai logo

Floww.ai

What's pushing teams away

  • Manual filter reconfiguration is required at every pipeline stage, making pipeline restructuring a repetitive ops burden that erodes productivity over time.
  • The platform has no public REST API or documented export endpoints, forcing teams to use CSV manual exports for any data portability needs.
  • Recording features lack adequate delete and storage-management controls, leading to data hygiene issues and confusion about what constitutes a complete export.
  • Steep learning curve combined with insufficient in-platform tutorials means onboarding relies heavily on the vendor's own customer-success team.

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 Floww.ai objects map to Odoo CRM

Each row shows how a Floww.ai 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.

Floww.ai

Contact

maps to

Odoo CRM

Lead

1:1
Fully supported

Floww.ai Contact records map directly to Odoo CRM Lead. Standard fields (name, email, phone, company name, address) migrate with Odoo field equivalents (partner_name, email_from, phone, contact_name). We apply an email deduplication step because Floww.ai Contacts may share email addresses across multiple records; the first record wins and subsequent duplicates are flagged for admin review. Floww.ai contact custom properties migrate as Odoo custom fields on crm.lead.

Floww.ai

Lead

maps to

Odoo CRM

Lead

1:1
Fully supported

Floww.ai Lead records (distinct from Contacts in Floww.ai's data model) map to Odoo CRM Lead. The Lead record, its categorization features, activity history, and pipeline assignment migrate as a single Lead record in Odoo. Floww.ai Lead custom properties migrate as Odoo custom fields on crm.lead. We preserve the Floww.ai lead owner as an Odoo user reference resolved by email match.

Floww.ai

Deal

maps to

Odoo CRM

Opportunity

1:1
Fully supported

Floww.ai Deals map to Odoo CRM Opportunity (crm.lead with type='opportunity'). The Deal value, expected close date, owner assignment, and linked Contact or Lead reference migrate. We resolve the Contact reference by email match against the migrated Lead records. The Floww.ai pipeline assignment maps to an Odoo CRM stage within the configured pipeline, and the Deal stage history (if exported) migrates as Odoo log notes with timestamps preserving the original progression order.

Floww.ai

Pipeline

maps to

Odoo CRM

Pipeline + Stage

lossy
Fully supported

Each Floww.ai Pipeline becomes an Odoo CRM Pipeline (crm.team) with its own stage set. We create Odoo CRM stages that mirror the Floww.ai stage names and sequence order. Stage probability percentages from Floww.ai migrate to Odoo stage probability values. Teams that had 4-stage pipelines in Floww.ai get 4 Odoo stages; teams with 12-stage pipelines get 12 Odoo stages. The mapping is stored in the migration configuration file for reconciliation at cutover.

Floww.ai

Pipeline Stage

maps to

Odoo CRM

CRM Stage

lossy
Fully supported

Floww.ai stage names and per-stage filter definitions are extracted during scoping. We configure Odoo CRM stages with the same sequence order as Floww.ai. Stage-level filters from Floww.ai cannot be exported programmatically and do not carry over; we document which filters were active per stage so the customer's admin can rebuild them in Odoo using domain filters on the Pipeline or Team model.

Floww.ai

Activity: Call

maps to

Odoo CRM

CRM Activity (phonecall)

1:1
Fully supported

Floww.ai call activities map to Odoo CRM phonecall records (crm.activity with activity_type_id set to Phone Call). Call duration, disposition, owner, and timestamp migrate to Odoo activity fields. The linked Contact or Deal reference resolves to the migrated Odoo Lead or Opportunity via email match and record ID lookup. Activity ordering is preserved by setting the Odoo activity date to the original Floww.ai timestamp.

Floww.ai

Activity: Email

maps to

Odoo CRM

CRM Activity (email)

1:1
Fully supported

Floww.ai email activities map to Odoo CRM email records (crm.activity with activity_type_id set to Email). Subject, body, direction (inbound/outbound), and timestamp migrate. The linked Contact or Deal reference resolves to the migrated Odoo Lead or Opportunity. Email attachments migrate as Odoo ir.attachment records linked to the activity.

Floww.ai

Activity: Meeting

maps to

Odoo CRM

CRM Activity (meeting)

1:1
Fully supported

Floww.ai meeting activities map to Odoo CRM meeting records (calendar.event). Start datetime, duration, location, and meeting subject migrate. Attendee information from Floww.ai migrates as Odoo calendar.event attendee records linked to the Odoo user or contact equivalent. Meeting notes and description migrate to the Odoo event description field.

Floww.ai

Activity: Task

maps to

Odoo CRM

CRM Activity (call-to-action)

1:1
Fully supported

Floww.ai task activities map to Odoo CRM activity records with the default activity type. Task title, description, due date, owner, and completion status migrate. The linked Contact or Deal reference resolves to the migrated Odoo Lead or Opportunity. Completed status maps to Odoo's 'Done' activity state.

Floww.ai

Custom Object

maps to

Odoo CRM

Custom Model (ir.model)

1:many
Fully supported

Floww.ai Custom Objects with one-to-many and many-to-many relationships require Odoo custom model creation via Odoo Studio or Python module definition. We request the Floww.ai schema map from the customer during scoping, then define equivalent Odoo models with matching field names and types before data insert. Many-to-many relationship tables from Floww.ai become Odoo relational fields (many2many) on the appropriate custom model. This step requires an Odoo developer or advanced admin to register the new model in the Odoo database before migration write begins.

Floww.ai

Tag

maps to

Odoo CRM

Tag

1:1
Fully supported

Floww.ai tags applied to Contacts, Leads, and Deals migrate as Odoo CRM tags (crm.tag). Tag names are preserved exactly and applied to the corresponding Lead or Opportunity records in Odoo. If Floww.ai used tags for segmentation logic beyond simple labeling, we document the segmentation strategy separately for admin review during Odoo CRM tag-group rebuild.

Floww.ai

Owner

maps to

Odoo CRM

User

1:1
Fully supported

Floww.ai user accounts map to Odoo User records. We match Floww.ai user email addresses to existing Odoo User records by email. Any Floww.ai Owner without a matching Odoo User goes to a reconciliation queue for the customer's Odoo admin to provision before the final write pass. Owner assignment on Lead and Opportunity records resolves to the Odoo User id.

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.

Floww.ai logo

Floww.ai gotchas

High

No public API forces reliance on manual CSV exports

Medium

Pipeline stage filters do not persist across stage changes

Medium

Pro-rated account billing requires careful license reconciliation

Medium

Custom Objects use non-standard relationship cardinalities

Low

Recording and attachment storage not accessible via bulk 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 forces migration through manual CSV export sequencing

    Floww.ai publishes no REST API and no documented bulk export endpoint. All data extraction depends on the platform's in-platform CSV export utility, which may impose pagination limits or row caps per export run. We coordinate with the customer to run sequential filtered exports (by pipeline, by date range, by record type), validate record counts against the source, and merge the resulting CSV files before writing to Odoo CRM. Where the platform imposes export limits, we request multiple exports split by filter and reassemble them in the correct dependency order before the Odoo write pass begins.

  • Floww.ai pipeline stages require manual Odoo stage configuration

    Floww.ai supports hyper-flexible pipeline designs where stage names, counts, and filter logic vary per pipeline. Some teams have 4 stages, others have 12. We extract the live stage definitions from Floww.ai during scoping, but Odoo CRM stage configuration must be created manually in the Odoo backend before migration writes begin. Stage names and sequence order migrate accurately; stage-level filter logic does not carry over and must be rebuilt in Odoo by the customer's admin as domain filters on the Pipeline or CRM Team model.

  • Custom Object non-standard relationships need Odoo custom model definition

    Floww.ai Custom Objects support one-to-many and many-to-many relationship cardinalities that do not map directly to standard Odoo CRM fields. We request a complete Floww.ai schema map covering all Custom Object definitions and their relationship tables before migration. Many-to-many junction tables from Floww.ai become Odoo many2many relational fields on the custom model. This requires the customer to have an Odoo developer or advanced admin pre-create the destination models in Odoo Studio or via Python module before FlitStack AI writes data.

  • Stage filter logic cannot be exported from Floww.ai

    Floww.ai's per-stage filter configuration is not accessible via bulk export and does not persist across platform navigation within the platform itself. During scoping, we document every active filter per stage from screenshots and customer walkthroughs. These filter rules cannot be exported as data and do not migrate to Odoo. We deliver a written filter inventory that the customer's admin uses to rebuild filter logic in Odoo as pipeline domain filters or automated action conditions post-migration.

  • Email field deduplication required before Odoo write pass

    Floww.ai does not enforce unique email addresses per Contact or Lead record, and multiple records may share the same email address in the source data. Odoo CRM Lead and Partner models enforce email uniqueness constraints by default. Before writing to Odoo, we run a deduplication pass on the Floww.ai export, flagging duplicate email addresses and applying a resolution rule (primary record wins, others flagged for admin review). This step adds a small overhead to the mapping phase but prevents silent record rejection at import time.

Migration approach

Six steps for a successful Floww.ai to Odoo CRM data migration

  1. Discovery and export sequencing plan

    We audit the source Floww.ai account by coordinating with the customer to run in-platform CSV exports for every record type (Contacts, Leads, Deals, Pipelines, Stages, Activities by type). We inventory all active pipelines, stage counts, custom object definitions and their relationship schemas, tags, and owner list. We also document the export tool's row limits and request a preliminary export to estimate the number of filtered export batches required. The discovery output is a written migration scope with export sequencing plan and a destination Odoo CRM schema sketch.

  2. Odoo CRM schema design

    We design the destination schema in Odoo CRM. This includes creating CRM Pipelines (crm.team) with stage sets mirroring Floww.ai pipeline structure, configuring stage names and probability values per Odoo stage, defining custom fields on crm.lead for Floww.ai contact and lead custom properties, and specifying any Odoo custom models required for Floww.ai custom objects with their relational field definitions. The customer or an Odoo developer deploys the schema to their Odoo instance before the migration write pass begins.

  3. Export execution and CSV merge

    The customer runs the Floww.ai in-platform export utility for each record type. We provide a step-by-step export guide specifying the filters, date ranges, and pagination offsets required to produce complete exports without overlap or gaps. Exported CSV files are uploaded to FlitStack AI's secure migration workspace where we validate row counts against the expected totals, merge split exports, normalize field headers, and apply the email deduplication pass before writing.

  4. Sandbox migration and reconciliation

    We run a full migration into the customer's Odoo CRM sandbox environment using production-like data volume. The customer reconciles record counts in Odoo (Leads in, Opportunities in, Activities in, Tags applied), spot-checks 25-50 records per object against the Floww.ai source, and signs off on the schema and mapping before production migration begins. Custom object records and relationship tables are validated against the Floww.ai schema map during this pass.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Leads (from Floww.ai Contacts and Leads merged), Opportunities (from Floww.ai Deals with stage and owner resolved), Activities by type (phone calls, emails, meetings, tasks via Odoo CRM XML-RPC batch API with rate-limit handling), Tags (applied to the resolved Lead and Opportunity records), and Custom Object records (written to Odoo custom models after the standard objects are confirmed). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, delta sync, and workflow handoff

    We freeze Floww.ai writes during cutover, run a final delta migration of any records created or modified during the migration window, then enable Odoo CRM as the system of record. We deliver a written inventory of every active Floww.ai Flow or workflow automation with its trigger, conditions, and recommended Odoo Automated Action or Studio automation equivalent. We do not rebuild Floww.ai workflows as Odoo automations inside the migration scope; that is a separate engagement or an internal Odoo admin task.

Platform deep dives

Context on both ends of the pair

Floww.ai logo

Floww.ai

Source

Strengths

  • Per-account subscription with pro-rated billing accommodates mid-growth headcount additions without billing surprises.
  • Ranked #1 Enterprise Usability Index on G2 Winter 2024 reflects genuine ease of onboarding for non-technical sales teams.
  • Hyper-flexible pipelines support non-linear B2C sales processes that standard CRM stage models cannot represent cleanly.
  • Native AI Copilots for sales and analytics are embedded at the workflow level rather than bolted on as third-party integrations.
  • 14-day free trial with guided onboarding lets teams validate pipeline configuration before committing to a paid plan.

Weaknesses

  • No public REST API or documented bulk export endpoints means all data extraction relies on manual in-platform exports.
  • Recording feature lacks adequate delete and storage management controls, complicating data hygiene during migration scoping.
  • Filters do not carry across stages automatically, making large-scale pipeline restructuring a manual, error-prone process.
  • Slow loading times when handling large data volumes suggest the platform's query performance degrades at enterprise scale.
  • Steep learning curve combined with insufficient in-platform tutorials makes independent onboarding difficult without vendor support.
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 Floww.ai 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

    Floww.ai: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Floww.ai 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 Floww.ai to Odoo CRM data migrations

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

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Straightforward migrations under 20,000 total records (Contacts, Leads, Deals) with a single Floww.ai pipeline and no custom objects typically complete in four to six weeks. Migrations with multiple Floww.ai pipelines, custom objects with cross-object relationships, large activity histories (over 200,000 engagement records), or Odoo multi-company configurations move to ten to fourteen weeks because of export sequencing complexity, custom model definition in Odoo, and stage reconciliation per pipeline. The no-API export constraint adds one to two weeks to scoping because we must coordinate with the customer to run exports manually and validate record counts before writing.

Adjacent paths

Related migrations to explore

Ready when you are

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