CRM migration
Field-level mapping, validation, and rollback between Patent Hive and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Patent Hive
Source
Odoo CRM
Destination
Compatibility
10 of 10
objects map 1:1 between Patent Hive and Odoo CRM.
Complexity
BStandard
Timeline
3–5 days
Overview
Patent Hive is a focused project and task management platform. Its data model centres on Contacts, Companies, Projects, Tasks, Activities, Notes, and Files — with custom fields and user assignments per record. Odoo CRM uses a different architecture: res.partner for contacts and companies (no split), crm.lead for both leads and opportunities in one object, project.project for projects, and crm.activity for logged calls, meetings, and emails. The migration maps Hive's record types to Odoo equivalents, creates custom fields for any attributes that lack native Odoo counterparts, and preserves timestamps and owner links through res.users email matching. Workflows, automations, and project-level permissions do not migrate — those require Odoo-native rebuilding. The mechanism FlitStack AI uses is a combination of Hive's data export endpoints and Odoo's XML-RPC API (available on Odoo Enterprise or Custom plan; Community edition uses CSV import through the UI, which our team manages directly). A delta-pickup window captures any Hive records modified during the cutover before the switch is finalized.
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 Patent Hive 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.
Patent Hive
Contact
Odoo CRM
res.partner
1:1Hive contacts map directly to Odoo res.partner records in a straightforward one-to-one transformation. The partner record is created with type set to 'contact'. All standard fields including email address, phone number, job title, and complete address components map to their Odoo field equivalents. Record ownership is resolved by matching the Hive owner email to an existing Odoo res.users record before assignment, ensuring accurate accountability on migrated contact data.
Patent Hive
Company
Odoo CRM
res.partner (type company)
1:1Hive companies map to Odoo res.partner records with the partner_type field explicitly set to 'company' to distinguish them from individual contacts. The company name from Hive becomes the primary partner name field in Odoo. Domain/website, industry classification, and employee count data are stored either in Odoo native fields where available or in custom fields created specifically to capture these Hive attributes that lack direct Odoo equivalents.
Patent Hive
Lead (Pipeline record)
Odoo CRM
crm.lead
1:1Hive records in a pipeline stage map to Odoo crm.lead. Pipeline name becomes crm.team (sales team) assignment; pipeline stage maps to crm.stage via value mapping. Odoo crm.lead holds both lead and opportunity records — the distinction is preserved via a custom lifecycle_status__c field.
Patent Hive
Project
Odoo CRM
project.project + crm.lead
1:1Hive projects with a commercial pipeline component map to both project.project (for task tracking) and crm.lead (for pipeline reporting). The link between the two is preserved via a custom project_id field on crm.lead. Pure delivery projects land in project.project only.
Patent Hive
Task
Odoo CRM
project.task
1:1Hive tasks map directly to Odoo project.task records with comprehensive field preservation. The task stage, priority level, due date, assigned user, and full description text all transfer to their corresponding Odoo fields without transformation. The project.task.project_id field establishes the critical parent-child relationship linking each task to its originating project.project record. Sub-task hierarchy from Hive is preserved through the parent_id field on project.task, maintaining nested task structures within the Odoo task management structure.
Patent Hive
Activity (Meeting, Call, Email)
Odoo CRM
crm.activity
1:1Hive meetings, phone calls, and logged email activities all map to Odoo crm.activity records, with the activity_type_id field set appropriately based on the Hive activity type. Original creation timestamps, duration information for meetings and calls, the activity subject line, and full body text content are all preserved during migration. User assignment for activity records follows the standard pattern of email matching to Odoo res.users to maintain accurate ownership and accountability across the migrated activity history.
Patent Hive
Note
Odoo CRM
note.note
1:1Hive notes transfer directly to Odoo note.note records with all content preserved. The note title becomes the note.name field, complete body text transfers to the body field, and the original creation timestamp from Hive is preserved in the create_date field. Tag information attached to Hive notes converts to Odoo note tags for consistent categorization. Notes without an associated parent record in Hive are created as standalone notes within the appropriate user's note channel in Odoo, ensuring no information is lost in the migration.
Patent Hive
File / Attachment
Odoo CRM
ir.attachment
1:1Files attached to contacts, companies, projects, or tasks in Hive are downloaded from the Hive file store and re-uploaded as Odoo ir.attachment records. Each attachment is properly linked to its parent Odoo record via the res_model and res_id fields, maintaining the relationship context. Original file names and MIME types are preserved throughout the process to ensure downstream retrieval and display functionality works as expected in the Odoo interface without requiring manual intervention.
Patent Hive
User / Team Member
Odoo CRM
res.users
1:1Hive team members are matched to existing Odoo res.users records by email address as the unique identifier. The original name and role title from Hive are recorded in a reference field for audit purposes. However, access rights, group memberships, and sharing rules from Hive do not translate to Odoo's permission architecture and must be configured separately in Odoo post-migration to ensure appropriate security and data visibility settings are in place for all migrated users.
Patent Hive
Custom Field (any record type)
Odoo CRM
Custom field on target model
1:1Any Hive custom field that lacks a native Odoo equivalent is systematically created as a custom field on the appropriate target model before migration begins. Target models include crm.lead, res.partner, project.project, and project.task. The Odoo field type is inferred from the source Hive data type: text-based Hive fields become either char or text fields depending on length, numeric fields translate to float or integer types, and date or datetime fields become date or datetime in Odoo for accurate temporal data representation.
| Patent Hive | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | res.partner1:1 | Fully supported | |
| Company | res.partner (type company)1:1 | Fully supported | |
| Lead (Pipeline record) | crm.lead1:1 | Fully supported | |
| Project | project.project + crm.lead1:1 | Fully supported | |
| Task | project.task1:1 | Fully supported | |
| Activity (Meeting, Call, Email) | crm.activity1:1 | Fully supported | |
| Note | note.note1:1 | Fully supported | |
| File / Attachment | ir.attachment1:1 | Fully supported | |
| User / Team Member | res.users1:1 | Fully supported | |
| Custom Field (any record type) | Custom field on target model1:1 | 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.
Patent Hive gotchas
Patent Hive is a government program, not software
Hive project management confusion
No public API documentation discovered
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
Discover Hive schema and export full data inventory
FlitStack AI connects to your Hive instance via API using scoped read access. We export every standard object (contacts, companies, projects, tasks, activities, notes, files) and all custom field definitions with sample values. This gives us the complete Hive data model — including custom field data types, pick-list values, and object relationships — so the Odoo mapping plan is grounded in your actual data, not an assumed schema. Your team keeps working in Hive throughout this phase.
Design Odoo target schema and create custom fields
Based on the Hive data inventory, FlitStack AI designs the Odoo target schema. This includes creating custom fields on crm.lead, res.partner, project.project, and project.task for any Hive attributes without native Odoo equivalents. We also define the pipeline-stage value mapping, the project-to-CRM linking strategy, and the user resolution rules. Your Odoo admin reviews and approves the schema plan before any data is created in the destination instance.
Match users and resolve owner assignments
Hive user records are matched to Odoo res.users by email address. FlitStack AI generates an owner resolution report listing every matched user, any unmatched owners, and the fallback owner (typically the migration admin) for any records without a match. Your team confirms which fallback owner to use or opts to invite missing users to Odoo before the migration run. No record lands in Odoo without a confirmed owner assignment.
Run sample migration with field-level diff
A representative slice of records — typically 100–500 spanning contacts, companies, projects, tasks, and activities — migrates first. FlitStack AI generates a field-level diff comparing source values against the Odoo record so you can verify field mapping accuracy, custom field population, timestamp preservation, and owner resolution before the full run commits. Any mapping errors are corrected in this phase before scaling up.
Execute full migration with delta-pickup and audit log
The full migration runs against Odoo. A delta-pickup window (24–48 hours after the main run) captures any Hive records modified or created during the cutover period. FlitStack AI maintains a complete audit log of every record created, updated, and linked in Odoo. One-click rollback is available if reconciliation against the Hive export snapshot reveals unexpected discrepancies. After delta-pickup, the Odoo instance reflects the final state of your Hive data at go-live.
Platform deep dives
Patent Hive
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Patent Hive and Odoo CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Patent Hive and Odoo CRM.
Object compatibility
All 8 core objects map 1:1 between Patent Hive and Odoo CRM.
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
Patent Hive: Not applicable — no public API surface exists..
Data volume sensitivity
Patent Hive 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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