CRM migration

Migrate from Devi to Odoo CRM

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

Devi logo

Devi

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

58%

7 of 12

objects map 1:1 between Devi and Odoo CRM.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from Devi to Odoo CRM is an asymmetric migration: Odoo CRM has a well-documented data model with a public XML-RPC and JSON-RPC API covering Leads, Contacts, Accounts, Teams, and pipeline stages, while Devi has no confirmed public API, no documented bulk export endpoint, and a research corpus limited to a single G2 review. The first phase of any Devi migration is discovery: we work with the customer to identify what records exist in Devi, whether a programmatic export path exists, and whether data must be extracted manually through CSV or screen-scraping. Once we confirm the source data shape, we map Devi records to Odoo's crm.lead (Lead and Opportunity merged) and res.partner (Contact/Account merged) model, with content assets mapped to Odoo attachments. Workflows, automations, and social listening rules do not migrate. We deliver a written automation inventory for the customer's admin to rebuild in Odoo's studio or via custom module development.

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

Devi logo

Devi

What's pushing teams away

  • Devi is a lead-monitoring tool, not a full CRM — teams that adopt it for prospecting still need a real CRM (HubSpot, Pipedrive, Attio) downstream, which limits its standalone life cycle.
  • Coverage is Facebook Groups + LinkedIn + Reddit + X. Teams running heavy ICP work on Slack communities, Discord, or YouTube comments outgrow it quickly.
  • Bundled ChatGPT credits run out fast on teams that use the 1-click outreach feature heavily — Solo's 250 calls cap is reached within a single active campaign.
  • Capterra and aggregator footprint is thin compared to established sales-intelligence tools, making procurement diligence harder at larger orgs.
  • Devi's outreach is comment- and DM-based on third-party platforms, which carries the platform-bans risk inherent to any automation that touches Facebook/LinkedIn/Reddit APIs.

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 Devi objects map to Odoo CRM

Each row shows how a Devi 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.

Devi

Lead (social high-intent)

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Devi's core object appears to be social media high-intent leads detected from LinkedIn, Twitter, or other platforms. We map these to Odoo crm.lead with type = lead (not opportunity). The source lead score or intent signal maps to a custom float field intent_score__c if the customer wants to preserve it. Odoo's crm.lead uses stage_id for pipeline state and team_id for team assignment. We require the customer to confirm the exact source field names and data types during discovery.

Devi

Contact (inferred person record)

maps to

Odoo CRM

res.partner

1:1
Fully supported

Devi's social listening likely captures person-level data (name, email, LinkedIn URL, company) attached to a lead signal. We map these to Odoo res.partner with partner_type = contact. The company association maps to a parent partner record (company = contact's employer). Odoo res.partner is a unified Contact/Account model so we create the employer as a company-type partner and link the contact as a child.

Devi

Content Asset (AI-generated visuals)

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

G2 reviews mention AI-generated visual content as a valued Devi feature. We map these to Odoo ir.attachment records linked to the relevant crm.lead or res.partner via res_model and res_id. Odoo stores attachments in the database (bytea) or on the filesystem depending on the ir_attachment storage setting. We require the customer to confirm whether visual assets are the primary deliverable or a secondary artifact.

Devi

Lead Score / Intent Signal

maps to

Odoo CRM

Custom field on crm.lead

lossy
Fully supported

If Devi exposes a lead score or intent level, we map it to a custom float field on crm.lead and preserve it as a reference for post-migration prioritization. Odoo Studio (Enterprise) or custom module development (Community) handles field creation before migration. We document the field type, allowed values, and whether it maps to a picklist or numeric scale during discovery.

Devi

Social Platform Source

maps to

Odoo CRM

Custom char field on crm.lead

lossy
Fully supported

Devi's high-intent detection operates on specific social platforms (LinkedIn, Twitter/X, etc.). We create a custom char field platform_source__c on crm.lead to capture which platform triggered the lead detection. This preserves the social attribution signal that may be lost if all leads are bulk-imported into Odoo without source tracking.

Devi

User / Owner

maps to

Odoo CRM

res.users

1:1
Fully supported

Devi user management is unconfirmed. We extract owner assignments from the source data (who owns each lead in Devi) and match by email to Odoo res.users. Any owner without a matching Odoo user goes to a reconciliation queue for the customer's admin to provision before record import. If Devi has no user assignment model, all leads are assigned to a default Odoo user during migration.

Devi

Notes / Annotations

maps to

Odoo CRM

mail.message

1:1
Fully supported

If Devi stores notes or annotations on leads, we map them to Odoo mail.message records linked to the crm.lead via model and res_id. Odoo's mail.thread architecture supports message threads on crm.lead, which provides a native notes interface for sales reps. Notes without a clear parent lead are held for customer confirmation during discovery.

Devi

Engagement / Activity History

maps to

Odoo CRM

mail.activity

1:1
Fully supported

If Devi tracks any engagement activity (DMs sent, comments, follow-ups) against leads, we map these to Odoo mail.activity records linked to crm.lead. mail.activity supports activity_type_id (call, email, meeting, todo) and user_id for assignment. We require the customer to confirm what activity types Devi tracks before defining the activity mapping.

Devi

Tags / Labels

maps to

Odoo CRM

crm.tag

1:1
Fully supported

If Devi uses tags or labels to categorize leads (by intent level, industry, product interest), we map them to Odoo crm.tag records. Odoo CRM includes a tags feature on crm.lead using an O2M to crm.tag. Tags are created during migration if they do not already exist in the destination Odoo instance.

Devi

Custom Fields

maps to

Odoo CRM

Custom fields on crm.lead or res.partner

lossy
Not supported

Devi's data model is unconfirmed, but customers may have custom fields tracking additional lead attributes. We pre-create any destination custom fields via Odoo Studio (Enterprise) or custom module XML (Community) before migration. Field types are mapped from the source (text, number, date, selection) to the nearest Odoo field type during discovery.

Devi

Workflow / Automation Rules

maps to

Odoo CRM

Not migrated

lossy
Fully supported

Devi's automation rules (social listening triggers, notification rules, follow-up sequences) are not migrated to Odoo. Odoo handles automation through server actions, automated actions (Studio), or custom cron jobs — a different model from Devi. We deliver a written inventory of every Devi automation rule with its trigger conditions and actions, and the customer's Odoo admin or implementation partner rebuilds them in Odoo Studio or via custom module development.

Devi

Sequences / Cadences

maps to

Odoo CRM

Not migrated

lossy
Fully supported

Social outreach sequences or engagement cadences are not migrated. These are sales engagement features that require a dedicated tool (Odoo has no native sequence cadence equivalent at the CRM layer). We document the sequence structure so the customer can evaluate Odoo native automation, a third-party sales engagement tool, or a custom workflow rebuild.

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.

Devi logo

Devi gotchas

High

Platform identity is ambiguous in search results

High

No documented export or API access

Medium

Thin review corpus makes due diligence difficult

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

  • Devi has no confirmed public API or export endpoint

    The research corpus for Devi contains zero evidence of a documented API, a bulk export endpoint, or a data portability feature. This is a migration-critical gap: without programmatic access, we cannot extract data reliably or repeatedly. Before any migration scoping, FlitStack AI requires the customer to confirm with Devi support whether an API, CSV export, or manual data download exists. If no export path exists, we scope manual extraction with customer-supplied data files and apply a discovery surcharge for schema reconstruction. We flag this upfront so the customer can request export confirmation from Devi before engaging FlitStack AI.

  • Devi's data model is unconfirmed and requires discovery

    Only one G2 review describes Devi AI's functionality (social media lead detection and AI content generation). No data dictionary, no field list, no object inventory is publicly available. We cannot confirm what fields exist on a lead record, whether a contact object exists, or how user ownership is modeled. The migration begins with a mandatory discovery phase where the customer provides any internal documentation, export previews, or screenshots of the Devi interface so we can build a source schema before any data moves. Discovery adds one to two weeks to the project timeline.

  • Platform identity is ambiguous — devi-official.com not confirmed as Devi AI

    The devi-official.com domain did not appear in any of the research rows. The only verifiable product reference is a single G2 review describing 'Devi AI' as a social media lead tool. We cannot confirm that devi-official.com and 'Devi AI' are the same product, share an API, or have compatible data models. Before any migration scoping, FlitStack AI requires the customer to provide written confirmation of the exact product, version, and tenant they want to migrate from.

  • Odoo CRM import validation rules can block record insertion

    Odoo CRM enforces field-level validation (required fields, format constraints, SQL constraints) on crm.lead and res.partner that can silently reject imported records if the source data does not conform. We validate source data against Odoo's required fields (name, email format, partner_type) before import and either clean the data or create a custom import bridge that handles type coercion. Sandbox import is run first to catch validation failures before production.

  • Activity history may not exist in Devi or may be unexportable

    Devi's social listening model may generate lead records but not persist a structured activity timeline (timestamps, interaction types, follow-up records). If the customer expects engagement history to migrate into Odoo mail.activity, we must confirm during discovery whether that data exists in Devi and whether it can be extracted. Without an activity record, Odoo CRM starts with a clean pipeline which is acceptable but requires expectation-setting with the sales team.

Migration approach

Six steps for a successful Devi to Odoo CRM data migration

  1. Product confirmation and export capability verification

    We request written confirmation from the customer of the exact Devi product, version, and tenant URL. We then verify export capability: whether Devi has a CSV export, an API endpoint, a Zapier connector, or any documented data portability feature. If no export path exists, we scope manual extraction and apply a discovery surcharge. This step gates all subsequent work.

  2. Discovery and source schema reconstruction

    The customer provides any available Devi exports, screenshots of the record layout, internal schema documents, or API access credentials. We run a discovery export to capture the actual field names, data types, and record counts across all Devi objects. If Devi has no API, we work with the customer to generate CSV exports of all lead, contact, and content records. The discovery output is a written source schema document that the customer reviews and approves before migration design begins.

  3. Destination schema design in Odoo

    We design the Odoo CRM destination schema based on the discovered Devi data model. This includes creating custom fields on crm.lead for intent score, platform source, and social attribution; setting up crm.tag records for Devi tags; configuring res.partner records for contacts and companies; and planning the ir.attachment structure for content assets. For Odoo Enterprise, we use Odoo Studio. For Odoo Community, we write custom module XML. Schema is validated in an Odoo sandbox or test database before any production migration.

  4. Sandbox migration and reconciliation

    We run a full migration into an Odoo test database or sandbox environment using the discovered data volume. The customer reviews the imported records, validates field mapping accuracy, spot-checks 20-30 records against the Devi source, and confirms the automation inventory document. Any mapping corrections or schema changes happen in this phase. No production data moves until the customer signs off on the sandbox results.

  5. Production migration in dependency order

    We run production migration in Odoo dependency order: res.users (owner reconciliation), res.partner (company-type partners first, then contacts), crm.lead (with type=lead for social leads), crm.tag (tags), ir.attachment (content assets linked to crm.lead or res.partner), and mail.activity (engagement history if available). Each phase emits a row-count reconciliation report. We freeze Devi writes during the cutover window and run a final delta pass for any records modified during migration.

  6. Cutover, validation, and automation handoff

    We enable Odoo CRM as the system of record after the final delta migration. We deliver the automation inventory document listing every Devi workflow, sequence, and automation rule with its trigger and recommended Odoo equivalent (Odoo Studio automated action, server action, or custom cron). The customer's Odoo admin or implementation partner rebuilds automations post-migration. We provide a one-week hypercare window for reconciliation issues. We do not rebuild automations or sequences as part of the standard migration scope.

Platform deep dives

Context on both ends of the pair

Devi logo

Devi

Source

Strengths

  • Focuses on a specific workflow — social media high-intent lead detection — which reduces feature bloat for teams doing outbound social selling
  • Generates visual content with AI, potentially reducing the need for a separate design tool
  • One G2 reviewer describes it as working well for its stated purpose with no significant complaints
  • Small-business positioning suggests a low-friction onboarding experience for teams under 10 users
  • Appears to have a free tier or low-cost entry point based on the positive ROI mentions in reviews

Weaknesses

  • Very limited public documentation — no developer docs, no API reference, no community forum evidence found in the research
  • Market presence is thin: only one verifiable G2 review from a real user, making independent due diligence difficult
  • No confirmed data export or API access, which is a critical risk for any team that needs to move data later
  • It is unclear whether devi-official.com and the 'Devi AI' referenced on G2 are the same product, raising identity risk
  • No information available about data residency, security certifications, or compliance posture
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. 3 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Devi and Odoo CRM.

  • Object compatibility

    D

    3 of 8 objects need a manual workaround.

  • 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

    Devi: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Devi to Odoo CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

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Pick a category, then your source and destination platforms.

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FAQ

Frequently asked questions about Devi to Odoo CRM data migrations

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

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No confirmed API or export endpoint was found in the research corpus for Devi. This is the primary migration risk for this pair. Before engaging FlitStack AI, we recommend requesting confirmation directly from Devi support about what data export options exist. If no programmatic path exists, we scope manual extraction with customer-supplied CSV files and apply a discovery surcharge to reconstruct the source schema. The migration timeline and cost are higher when the source platform lacks export capabilities.

Adjacent paths

Related migrations to explore

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