CRM migration
Field-level mapping, validation, and rollback between Connect Field Service and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Connect Field Service
Source
Odoo CRM
Destination
Compatibility
11 of 12
objects map 1:1 between Connect Field Service and Odoo CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
Connect Field Service stores operational records across accounts, contacts, work orders, service tasks, products, and custom field extensions tied to field-technician workflows. Odoo CRM models the same business in a sales-centric structure: res.partner for companies and contacts, crm.lead for leads and opportunities, crm.lead.custom_field_ids for operational metadata, and product.product for inventory items. The migration maps Connect's operational object graph — Work Order status, priority, sub-status, task lists, and fulfillment data — into Odoo's opportunity framework, with Connect field names translated to Odoo custom field conventions. We use Connect Field Service's REST API to extract full record payloads, then load Odoo via XML-RPC or CSV import. Any IoT alerts, scheduling rules, or dispatch optimizations do not migrate; we document them as rebuild references for Odoo Studio or custom module development. FlitStack sequences the migration so foreign-key dependencies resolve correctly: accounts first, then contacts, then products, then work order records — with a 24–48 hour delta-pickup window capturing in-flight changes at 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 Connect Field Service 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.
Connect Field Service
Account (msdyn_account)
Odoo CRM
res.partner
1:1Connect Field Service Account maps directly to Odoo res.partner (company mode). FlitStack sets partner_id on every contact record, resolving the company link so Odoo's 'contacts' view shows account-linked records correctly. Connect's service territory and operational hierarchy fields migrate as custom fields on res.partner since Odoo has no native territory object.
Connect Field Service
Contact (msdyn_contact / Contact)
Odoo CRM
res.partner
1:1Connect Field Service contacts map to Odoo res.partner (contact mode) with parent_id pointing to the mapped Account partner. Phone, email, jobtitle, and address fields transfer directly. FlitStack resolves the email-address match against existing Odoo users to populate the responsible_id field on each contact record.
Connect Field Service
Work Order (msdyn_workorder)
Odoo CRM
crm.lead (Opportunity)
1:1Each Work Order becomes an Odoo crm.lead record with type='opportunity'. FlitStack maps msdyn_workorderId to a custom external_id field, msdyn_name to the opportunity name, msdyn_workorderstatus to a custom pick-list field, msdyn_priority to a custom field, and operational notes to the opportunity description. The Work Order's sub-status, internal priority, and resolution type all land as Odoo custom fields since Odoo CRM has no native service-status concept.
Connect Field Service
Work Order Sub-Status
Odoo CRM
Custom field on crm.lead
1:1Connect Field Service uses msdyn_substatus as a second-level status pick-list on work orders beyond the primary msdyn_workorderstatus. Odoo CRM has no native two-tier status model. FlitStack creates a custom field Work_Order_Sub_Status__c on crm.lead and maps every active sub-status value from Connect, preserving the full operational resolution state.
Connect Field Service
Work Order Type
Odoo CRM
Custom field on crm.lead
1:1msdyn_workordertype stores the service category (repair, inspection, installation, preventive maintenance) with a pick-list of values. Odoo CRM has no native service-type field on opportunities. FlitStack creates Work_Order_Type__c as a custom selection field on crm.lead and maps the pick-list values value-by-value so the operational category survives the migration intact.
Connect Field Service
Service Task (msdyn_serviceTask)
Odoo CRM
crm.activity / mail.message on crm.lead
many:1Connect Field Service work orders contain multiple Service Tasks (line items specifying what the technician must perform). FlitStack merges all tasks per work order into a single crm.activity record attached to the migrated opportunity, with task descriptions concatenated and the msdyn estimated duration stored as a custom field. Individual task completion flags migrate as a JSON-encoded custom field for audit traceability.
Connect Field Service
Product / Service (msdyn_product)
Odoo CRM
product.product
1:1Connect Field Service product catalog items map directly to Odoo product.product. FlitStack maps product type (msdyn_productservicetype: product vs. service) to Odoo's product_type field, transfers the internal product code to Odoo's default_code, and maps unit cost to lst_price or standard_price depending on the type. Product images and attachments re-upload to Odoo's filestore.
Connect Field Service
Bookings (msdyn_bookings)
Odoo CRM
Custom field on crm.lead
1:1Connect Field Service booking records store technician-to-work-order assignments with start/end times, resource IDs, and booking status. Odoo CRM has no native bookings or resource scheduling object. FlitStack preserves the booking data as a JSON-encoded custom field Assigned_Bookings__c on each migrated opportunity and surfaces it in the migration diff so Odoo project management or a third-party FSM module can consume it.
Connect Field Service
Customer Asset (msdyn_customerAsset)
Odoo CRM
Custom field on res.partner / product.product
1:1Connect Field Service customer asset records store installed equipment with location, serial number, installation date, and operational status. Odoo CRM has no native asset registry (that lives in Odoo Maintenance module). FlitStack preserves asset data as custom fields on res.partner or product.product, with serial numbers and installation dates in structured custom fields so the information is queryable even without the Maintenance module.
Connect Field Service
Custom Fields on msdyn_workorder
Odoo CRM
Custom fields on crm.lead
1:1Any custom fields added to the Work Order object in Connect Field Service settings are individually exported and created as Odoo ir.model.fields entries on crm.lead before migration data loads. FlitStack applies the Odoo field naming convention (snake_case, descriptive) and maps field type (text, date, pick-list, number) to the nearest Odoo field type. Pick-list values are mapped value-by-value.
Connect Field Service
Notes / Attachments on Work Order
Odoo CRM
ir.attachment on crm.lead
1:1Work order notes and file attachments (images, PDFs, signatures) are exported from Connect and re-uploaded to Odoo's ir.attachment table linked to the migrated opportunity. Signature capture images from mobile submissions are stored as attachment files. Odoo's 25MB file size limit is enforced per file; files exceeding the limit are flagged for manual retrieval guidance.
Connect Field Service
IoT Alert / Remote Monitoring Data
Odoo CRM
Custom field on crm.lead / ir.attachment
1:1Connect Field Service IoT alert records (sensor readings, threshold breaches, remote diagnostic triggers) attach to customer assets and work orders. Odoo CRM has no native IoT connector. FlitStack preserves the most recent alert timestamp and summary as a custom field on the opportunity; full alert history is exported as a JSON file and attached to the opportunity record as a reference document for post-migration IoT integration.
| Connect Field Service | Odoo CRM | Compatibility | |
|---|---|---|---|
| Account (msdyn_account) | res.partner1:1 | Fully supported | |
| Contact (msdyn_contact / Contact) | res.partner1:1 | Fully supported | |
| Work Order (msdyn_workorder) | crm.lead (Opportunity)1:1 | Fully supported | |
| Work Order Sub-Status | Custom field on crm.lead1:1 | Fully supported | |
| Work Order Type | Custom field on crm.lead1:1 | Fully supported | |
| Service Task (msdyn_serviceTask) | crm.activity / mail.message on crm.leadmany:1 | Fully supported | |
| Product / Service (msdyn_product) | product.product1:1 | Fully supported | |
| Bookings (msdyn_bookings) | Custom field on crm.lead1:1 | Fully supported | |
| Customer Asset (msdyn_customerAsset) | Custom field on res.partner / product.product1:1 | Fully supported | |
| Custom Fields on msdyn_workorder | Custom fields on crm.lead1:1 | Fully supported | |
| Notes / Attachments on Work Order | ir.attachment on crm.lead1:1 | Fully supported | |
| IoT Alert / Remote Monitoring Data | Custom field on crm.lead / ir.attachment1:1 | 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.
Connect Field Service gotchas
Per-seat licensing applies to dispatchers, technicians, and often read-only users
Custom fields and non-standard objects require explicit mapping before migration
Offline sync state is not persistently exported via standard API
Scheduling optimization rules and territory logic do not transfer between platforms
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
Schema discovery and field mapping design
FlitStack exports the full Connect Field Service object schema — msdyn_workorder, msdyn_serviceTask, msdyn_account, msdyn_contact, msdyn_product, and all custom fields on each object. We then map each object and field to its Odoo CRM equivalent, creating Odoo custom fields (via ir.model.fields) for any Connect operational fields that have no native Odoo destination. The mapping plan covers pick-list value translations, custom field creation order (since Odoo requires fields exist before data loads), and a dependency graph showing which objects must migrate first.
Sequenced bulk migration in dependency order
Migration runs in strict order: res.partner (accounts) first so company IDs exist; then res.partner (contacts) with parent_id resolved against the migrated accounts; then product.product; then crm.lead records for work orders with the mapped custom fields populated. FlitStack uses Connect Field Service's REST API to pull full record payloads and loads Odoo via XML-RPC. Foreign-key references are validated before each batch commits — if a parent account is missing, its child contacts and work orders are held in a staging queue until the parent resolves. This prevents the orphan-record problem that breaks CRM reporting post-migration.
Sample migration with field-level diff
Before the full run, FlitStack migrates a representative slice — typically 200–500 records covering 3–5 accounts, 10–20 contacts, 5–10 work orders, and 3–5 products. We generate a field-level diff report comparing source and destination values for every mapped field, including custom fields, pick-list values, and timestamps. You review the diff with your team and approve the mapping before FlitStack commits the full migration. Any field mapping errors discovered in the sample are corrected in the mapping plan and the sample re-runs.
Delta-pickup and cutover with in-flight change capture
During the final migration run, FlitStack opens a delta-pickup window of 24–48 hours after the initial load completes. Any Connect Field Service records created or modified during this window — new work orders logged by technicians, status updates, new contacts — are captured in a second incremental migration pass and applied to Odoo. FlitStack logs every delta operation in an audit file. After the delta pass, a final reconciliation report compares record counts and custom field totals between systems. One-click rollback to the pre-migration Odoo snapshot is available if reconciliation finds discrepancies exceeding the agreed tolerance threshold.
Post-migration handoff and rebuild reference export
FlitStack delivers the full migration audit log, a field-mapping reference document, and an export of Connect Field Service workflow and automation definitions as JSON for your Odoo developer or admin to use as a rebuild guide. Scheduling rules, IoT alert triggers, and dispatch optimization logic are documented — not migrated — so your team knows exactly what requires Odoo Studio work, custom module development, or a third-party FSM add-on. The export includes screenshots or config exports from Connect Field Service where available, giving your Odoo admin a concrete reference for each automation that must be rebuilt.
Platform deep dives
Connect Field Service
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Connect Field Service and Odoo CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Connect Field Service and Odoo CRM.
Object compatibility
All 8 core objects map 1:1 between Connect Field Service 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
Connect Field Service: 100 API calls per minute per org for standard REST API; bulk API available for larger data volumes.
Data volume sensitivity
Connect Field Service exposes a bulk API — large-volume migrations stream efficiently.
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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