CRM migration
Field-level mapping, validation, and rollback between FieldPro and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
FieldPro
Source
Odoo CRM
Destination
Compatibility
10 of 10
objects map 1:1 between FieldPro and Odoo CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
FieldPro is a field sales and field force management platform built around outlets, visits, routes, and mobile task execution. Its data model centers on field-worker operations: outlet records with GPS coordinates, visit logs with timestamps, route assignments, and order capture tied to physical locations. Odoo CRM uses a res.partner-based model where contacts and companies live in the same table, and field sales activity is tracked via crm.lead opportunities linked to sales orders. The two platforms share basic Contact and Company equivalents but diverge sharply on field-operations data: FieldPro's GPS coordinates, route structures, and visit history have no native Odoo CRM equivalent and require custom field creation and activity modeling. FlitStack AI extracts FieldPro data via its export API, transforms outlet and contact records into Odoo res.partner format, maps visit logs to Odoo CRM activities, and recreates route assignments as project-based task groups. Custom fields on the partner record capture original FieldPro coordinates for territory mapping. Workflows, route optimization rules, and field-worker scheduling logic do not transfer — those require Odoo Studio or project configuration post-migration. The migration runs against Odoo's xmlrpc/JSON-RPC API with batched record creation, foreign-key resolution on partner_id fields, and a 24-48 hour delta pickup window capturing any records modified during cutover.
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 FieldPro 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.
FieldPro
Outlet
Odoo CRM
res.partner
1:1FieldPro outlets are physical retail or field locations with name, address, GPS, and category. These map directly to Odoo res.partner records with partner_type='contact' and industry category matching. GPS latitude/longitude stored in custom float fields on partner record since Odoo has no native geo field.
FieldPro
Contact
Odoo CRM
res.partner
1:1FieldPro contacts (sales reps or outlet contacts) map to Odoo res.partner records, preserving address and contact details. If a contact also owns the outlet, a parent_id link points to the corresponding outlet partner, maintaining the hierarchical relationship. Email, phone, and title fields transfer directly, and any custom contact attributes become custom fields on the partner record.
FieldPro
Visit
Odoo CRM
mail.activity
1:1FieldPro visit records, which include timestamp, agent, outlet, and outcome, map to Odoo CRM activities (mail.activity). The visit outcome (completed, skipped, rescheduled) maps to the activity_type selection, and the outlet reference becomes the activity’s res_id linking to the outlet’s res.partner. Duration and notes become activity description fields, with additional custom fields capturing structured outcome data if needed.
FieldPro
Route
Odoo CRM
project.task (grouped)
1:1FieldPro route assignments with sequence, assigned agent, and date have no native Odoo equivalent. We map each route to a project.task record tagged by agent and date, with task name = route name and description capturing the outlet sequence. A custom project or tag distinguishes route-grouped tasks from regular project work.
FieldPro
Order
Odoo CRM
sale.order
1:1FieldPro orders captured in the field map to Odoo sale.order records linked to the outlet’s res.partner as the customer. Order lines transfer to sale.order.line with product (mapped to product.template), quantity, and price. Order status (draft, confirmed, fulfilled) maps to Odoo sale.order state values via value mapping, ensuring consistent workflow progression.
FieldPro
Product
Odoo CRM
product.template
1:1FieldPro product catalog entries map to Odoo product.template, transferring product name, SKU, unit of measure, and sales price directly. If FieldPro defines product categories, those map to Odoo product.category records for hierarchical organization, allowing the same categorization structure to be replicated in the target system.
FieldPro
Agent / Field Worker
Odoo CRM
res.users
1:1FieldPro agents (field workers) are matched to Odoo users by email address. FlitStack flags unmatched agents before migration so they can be invited to Odoo. Agent active status and team assignment map to Odoo user active flag and crm.team membership.
FieldPro
Task
Odoo CRM
project.task
1:1FieldPro task records (field assignments, follow‑ups) map to Odoo project.task linked to the outlet’s res.partner. Task status (pending, completed) maps to Odoo stage, and priority aligns with the Odoo priority field (0‑4 scale). Custom task attributes from FieldPro become custom fields on the project.task model, preserving all original data.
FieldPro
Custom Field (Outlet)
Odoo CRM
ir.model.fields (custom)
1:1FieldPro custom fields on outlets (beyond name, address, GPS) require Odoo custom fields created via Odoo Studio or data migration. Each custom field type (char, selection, float, integer) maps to the corresponding Odoo field type. Selection-type custom fields need value_mapping for pick-list consistency.
FieldPro
Visit Outcome / Check-in Data
Odoo CRM
Custom fields on mail.activity
1:1FieldPro visit outcomes (sold, no order, competitor seen) and check‑in timestamps become custom fields on Odoo mail.activity, such as x_outcome and x_checkin_time. This preserves the structured outcome data that would otherwise be lost if entered only as free‑text notes, maintaining reporting continuity across the migration.
| FieldPro | Odoo CRM | Compatibility | |
|---|---|---|---|
| Outlet | res.partner1:1 | Fully supported | |
| Contact | res.partner1:1 | Fully supported | |
| Visit | mail.activity1:1 | Fully supported | |
| Route | project.task (grouped)1:1 | Fully supported | |
| Order | sale.order1:1 | Fully supported | |
| Product | product.template1:1 | Fully supported | |
| Agent / Field Worker | res.users1:1 | Fully supported | |
| Task | project.task1:1 | Fully supported | |
| Custom Field (Outlet) | ir.model.fields (custom)1:1 | Fully supported | |
| Visit Outcome / Check-in Data | Custom fields on mail.activity1:1 | 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.
FieldPro gotchas
Quarterly billing minimum masks true cost
License count is tied to all active mobile users
Detect module image metadata is separate from image files
ERP integrations must be rebuilt on the destination platform
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
Audit FieldPro data model and export configuration
FlitStack connects to FieldPro via its export API and inventories all object types: outlets, contacts, visits, routes, tasks, orders, products, and agents. We profile record counts per object, identify custom fields on outlets and contacts, and flag outlet hierarchies and GPS coordinate completeness. The audit also reviews data types, required field presence, and any API rate‑limit constraints, producing a detailed field‑level mapping document before transformation logic is written.
Configure Odoo partner schema and custom fields
Before data lands, FlitStack creates the custom fields Odoo needs: x_fieldpro_latitude and x_fieldpro_longitude on res.partner, x_fieldpro_created_date for original timestamps, x_fieldpro_sequence on project.task for route ordering, and any custom fields discovered on FieldPro outlets. Odoo Studio or direct model writes handle field creation; the migration plan documents which fields require Odoo Enterprise Studio access, ensuring proper permissions, field‑type consistency, and validation.
Resolve agents to Odoo users by email
FieldPro agents are matched to Odoo users by email address, the most reliable unique identifier across both systems. Unmatched agents are flagged in a pre‑migration report—your team either invites them to Odoo before migration or assigns a fallback user for their records. No activity, task, or route migrates without a resolved Odoo user_id owner, guaranteeing that every record has an assigned user in the target system.
Migrate partners and contacts with hierarchy resolution
Outlets and contacts migrate in dependency order: outlets first because contacts reference them via parent_id, then contacts. GPS coordinates populate the custom float fields on each partner record, preserving original location data. Parent‑child outlet hierarchies resolve using Odoo's parent_id field, with circular‑reference detection before commit to prevent looping links, and industry categories map to res.partner.industry for accurate classification, and consistency.
Migrate visit history as CRM activities and routes as project tasks
Visit records transform into Odoo mail.activity records linked to the corresponding res.partner. Visit outcome maps to activity_type_id via value mapping, and duration together with structured notes populate custom activity fields such as x_visit_duration and x_outcome_detail. Route assignments create project.task records grouped under a 'FieldPro Routes' project, with x_fieldpro_sequence preserving the outlet visit order. Each task links to the outlet partner and assigns the resolved agent, and multiple visits per outlet generate separate activity entries, preserving full visit history.
Run sample migration with field-level diff and delta pickup
A representative slice (typically 200-500 records across outlets, contacts, visits, and routes) migrates first. FlitStack generates a field-level diff showing source value vs. destination field for each mapped column. You verify GPS coordinate placement, activity outcome mapping, and route task grouping before the full run commits. After full migration, a 24-48 hour delta pickup window captures any FieldPro records modified during cutover, and the audit log records every operation with one-click rollback available.
Platform deep dives
FieldPro
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 FieldPro and Odoo CRM.
Object compatibility
1 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
FieldPro: Not publicly documented.
Data volume sensitivity
FieldPro 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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