CRM migration

Migrate from Field Force Tracker to Odoo CRM

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

Field Force Tracker logo

Field Force Tracker

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

10 of 10

objects map 1:1 between Field Force Tracker and Odoo CRM.

Complexity

BStandard

Timeline

5–10 business days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Field Force Tracker stores work orders, customers, employees, products, quotes, and attachments across a field-service data model optimized for dispatch and scheduling. Odoo CRM models its world as crm.lead (leads and opportunities) and res.partner (contacts and companies), with a separate product catalog for items. These are fundamentally different schemas: FFT's job identifiers, job types, dispatch notes, and service-status values have no native Odoo CRM equivalent and require custom field creation. Customers map to Odoo partners, quotes map to sale.order, and attachments re-upload to Odoo's document management. Employee records require a decision: whether to store them as contacts, custom fields on a partner record, or a separate model. We handle the full technical translation: API extraction from Field Force Tracker, field-by-field mapping to Odoo custom fields, and load via Odoo's XML-RPC API or CSV import. Workflows, dispatch rules, scheduling automations, GPS coordinates, and route-planning data do not migrate — those require manual rebuild using Odoo's action rules and server actions. We export your FFT configuration definitions as a rebuild reference to accelerate that process.

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

Field Force Tracker logo

Field Force Tracker

What's pushing teams away

  • Initial onboarding feels overwhelming due to the feature depth; teams accustomed to simple scheduling tools report a steep initial learning curve during setup.
  • The platform offers limited built-in marketing or customer acquisition features, pushing growth-stage service companies toward more CRM-capable FSM alternatives.
  • Reporting and analytics require manual configuration to become actionable; some users report that standard reports do not surface operational bottlenecks without customisation.
  • Customisation and training are quoted separately after initial purchase, adding hidden cost layers that surprise buyers expecting inclusive pricing.
  • Integrations beyond QuickBooks, Xero, and Wave are not self-service; teams needing CRM sync or custom API connections must rely on the vendor's engineering 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 Field Force Tracker objects map to Odoo CRM

Each row shows how a Field Force Tracker 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.

Field Force Tracker

Work Order

maps to

Odoo CRM

crm.lead (Lead / Opportunity)

1:1
Fully supported

FFT work orders translate to Odoo crm.lead records. Job identifiers, job types, dispatch notes, and service-status values from FFT become custom fields on crm.lead. Active FFT work orders map as Open leads; completed ones map as Won or Lost opportunities based on status.

Field Force Tracker

Customer

maps to

Odoo CRM

res.partner

1:1
Fully supported

FFT customers with name, email, phone, and address become Odoo res.partner records. FFT's primary-contact flag maps to the partner's is_company toggle. Companies with multiple contact persons split into a parent partner and child contact partners linked via the partner_id field.

Field Force Tracker

Employee

maps to

Odoo CRM

res.partner (or custom model)

1:1
Fully supported

FFT stores employees as a distinct object with scheduling and availability data. Odoo CRM has no native employee object — users live in the internal res.users model, separate from contacts. Employee records from FFT are migrated as partner contacts with a custom Employee_Type__c flag, while FFT scheduling and availability data becomes custom fields for reference.

Field Force Tracker

Quote / Proposal

maps to

Odoo CRM

sale.order (or crm.lead)

1:1
Fully supported

FFT quotes and proposals map to Odoo sale.order records when they represent billable line items with quantities and prices. Status values (Draft, Sent, Accepted, Declined) map to Odoo's sale.order state field. Unpriced proposals map as crm.lead with custom Quote_Status__c field capturing the original FFT state.

Field Force Tracker

Product / Inventory Item

maps to

Odoo CRM

product.product (or product.template)

1:1
Fully supported

FFT product and inventory records with SKU, name, unit price, and cost map to Odoo product.product (storable products) or product.template. Product categories map to Odoo's product.category hierarchy, preserving the original categorization structure. FFT stock-on-hand quantities require Odoo's inventory module installed and properly configured to display correctly in the system.

Field Force Tracker

Attachment / File

maps to

Odoo CRM

ir.attachment (Documents)

1:1
Fully supported

FFT file attachments on work orders, customers, and quotes re-upload to Odoo's ir.attachment table and appear in the Documents app linked to the corresponding crm.lead or res.partner. Re-uploaded files retain original filenames and are linked by a custom FFT_Source_ID__c field for traceability.

Field Force Tracker

Workflow / Automation / Dispatch Rule

maps to

Odoo CRM

Odoo Action Rules (ir.actions.server)

1:1
Fully supported

FFT scheduling rules, dispatch automations, and field-service workflows do not have an equivalent in Odoo CRM. They must be rebuilt as Odoo Action Rules and server actions. We export FFT workflow definitions as a structured JSON reference document to accelerate your Odoo admin's rebuild effort.

Field Force Tracker

Pipeline Stage

maps to

Odoo CRM

crm.stage (pick-list values)

1:1
Fully supported

FFT work order status values (New, Scheduled, In Progress, On Hold, Completed, Cancelled) require value-by-value mapping to Odoo crm.stage pick-list entries. Odoo stages are per-pipeline and scoped by crm.team. Teams with different stage sets in FFT create multiple Odoo pipelines, each with their own stage configuration.

Field Force Tracker

Sales Team / Group

maps to

Odoo CRM

crm.team

1:1
Fully supported

FFT organizational units and dispatch groups map to Odoo crm.team records. Team members in FFT are assigned as Odoo crm.team members (res.users linked via team membership). This preserves reporting boundaries and team structures across both systems, but requires careful FFT group-to-team mapping upfront to ensure all organizational hierarchies are correctly represented in Odoo.

Field Force Tracker

GPS / Location Data

maps to

Odoo CRM

Custom field on res.partner

1:1
Fully supported

FFT captures technician GPS coordinates, customer site locations, and route planning data. Odoo CRM has no native geo-coordinate fields. We preserve FFT location data as custom Latitude__c and Longitude__c decimal fields on res.partner and Last_Known_Location__c as a text reference. Native map views require Odoo Field Service module.

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.

Field Force Tracker logo

Field Force Tracker gotchas

High

API endpoints and authentication are not publicly documented

Medium

Data migration is quoted separately and ranges $500–$3,000

Medium

Industry-specific custom fields may not map directly to generic FSM objects

Low

Invoice and attachment formats vary between FSM platforms

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

  • Odoo lead-to-opportunity conversion drops custom fields unless patched

    Odoo's built-in Convert to Opportunity action on a crm.lead does not automatically carry custom fields from the lead to the resulting opportunity record. Fields like x_fft_job_type and x_fft_dispatch_notes that you create on crm.lead stay on the lead when it converts — the new opportunity record will be blank in those fields unless you either install the Odoo Community Association's custom-field-mapping module (cytechmobile/odoo-custom-field-mapping-free) or rebuild the conversion via a server action that explicitly copies field values. We surface this as a pre-migration checklist item so your Odoo admin can decide on the approach before go-live.

  • Odoo external API rate limits throttle bulk imports

    Odoo's XML-RPC external API is free on all plans but enforces request concurrency and per-hour throughput limits that vary by Odoo hosting method (Odoo.sh vs. self-hosted Community). Bulk imports that exceed those limits receive 403 or 504 responses mid-load, potentially leaving the database in a partially migrated state. We batch FFT API reads and Odoo API writes into chunks of 200–500 records with exponential back-off on rate-limit responses, and we re-verify record counts after each batch. If your Odoo instance is self-hosted Community, the API limit is typically governed by your own server's worker configuration.

  • FFT work-order statuses require per-pipeline value mapping

    Field Force Tracker uses a single work-order status pick-list across the entire account. Odoo CRM's stage_id field is scoped per pipeline and per crm.team, meaning each Odoo pipeline has its own independent set of stage values stored as crm.stage records in the database. If your FFT account has multiple service teams with different status naming conventions, you need to decide whether to collapse those into one Odoo pipeline with a unified stage set or create separate Odoo pipelines (and thus separate CRM teams) to preserve the distinction. We deliver a stage-mapping plan before the migration runs so this decision is made before data lands.

  • GPS coordinates, dispatch data, and route-planning info have no Odoo CRM equivalent

    Field Force Tracker captures technician GPS coordinates at dispatch and job completion, route-planning data, and real-time mobile status updates that form the backbone of field-service operations. Odoo CRM's data model has no native fields for geo-coordinates, route segments, or real-time mobile status. We preserve this data as custom Latitude__c, Longitude__c, and Last_Known_Location__c text fields on res.partner, but these fields are static references — they do not drive Odoo's Kanban views, reporting, or any native functionality. If you need field-service scheduling and dispatch in Odoo, that requires the separate Odoo Field Service module, which is a distinct installation and configuration project beyond CRM migration scope.

  • Foreign-key sequencing: leads must exist before opportunities load

    Odoo enforces referential integrity at the ORM level. crm.lead records require a valid partner_id (res.partner) before they can be created. If you batch-load leads and partners simultaneously, leads referencing partner IDs that have not yet been committed will fail with a foreign-key violation error. We sequence the migration in three passes: first partners (customers and employees), then leads with the partner_id lookup resolved, then sale.orders referencing those leads. We flag any FFT work orders whose linked customer has no email match in FFT's customer table before migration starts, so orphan records are handled explicitly rather than failing silently.

Migration approach

Six steps for a successful Field Force Tracker to Odoo CRM data migration

  1. Audit FFT data landscape

    We extract a full inventory of every record type in your Field Force Tracker account via the REST API: work orders, customers, employees, quotes, products, attachments, and custom field definitions. This inventory identifies record counts, custom field names and data types, attachment file sizes, and any FFT modules or add-ons that affect the data model. The audit output becomes the scope document and drives the Odoo-side custom field creation plan.

  2. Configure Odoo CRM schema

    We create every required custom field on the crm.lead and res.partner models before data arrives, using Odoo's developer mode or Odoo Studio. This includes FFT job type, priority, dispatch notes, GPS coordinates, actual start/end timestamps, and invoice status as custom fields with appropriate data types (Char, Selection, Text, Float, Date, DateTime). We configure pipeline stages to match FFT work-order status values and set up crm.team records mapped from FFT organizational groups.

  3. Run sample migration with field-level diff

    We extract a representative slice from FFT (typically 200–500 records covering work orders in each status, customers with attachments, and quotes) and load it into Odoo via the XML-RPC API. We generate a field-level diff comparing source FFT values against the migrated Odoo record values, highlighting any transformation issues, value-mapping gaps, or records that failed to resolve their foreign keys. You review the diff before the full run commits.

  4. Execute full migration with delta-pickup window

    The full dataset migrates in sequenced batches: partners first (customers and employees), then work orders linked to those partners, then quotes and products. A 24–48 hour delta-pickup window runs in parallel, capturing any records created or modified in FFT during the migration window. All operations log to an audit trail. If reconciliation identifies missing or duplicate records, one-click rollback reverts the Odoo state to the pre-migration snapshot.

  5. Post-migration validation and workflow rebuild handoff

    We run record-count reconciliation between FFT and Odoo for each object type, spot-checking critical fields (status, customer name, work order ID) against source records. We deliver the FFT workflow definitions as a structured JSON export and a written reference guide mapping each FFT rule to its Odoo action-rule equivalent so your Odoo admin can rebuild scheduling automations without reverse-engineering the source configuration.

Platform deep dives

Context on both ends of the pair

Field Force Tracker logo

Field Force Tracker

Source

Strengths

  • Per-user pricing starting at $15/month keeps small field service teams within budget during initial adoption.
  • Dispatch Board unifies phone, email, and SMS communication channels for each technician job assignment.
  • Industry-specific configuration options for HVAC, plumbing, elevator, fire alarm, and copier verticals reduce the need for extensive custom fields.
  • 15+ years in production across 30+ countries demonstrates stability and multi-currency operational readiness.
  • Inventory tracking helps service companies avoid stockouts on parts critical to job completion.

Weaknesses

  • Onboarding complexity due to feature depth causes friction for small teams transitioning from simpler scheduling tools.
  • API access and bulk export capabilities are not publicly documented, making self-service data extraction harder.
  • Reporting requires manual customisation to surface operational insights, unlike platforms with pre-built FSM dashboards.
  • Separate quotes for customisation, training, and data migration create unpredictable total cost of ownership.
  • Integrations beyond accounting software are not self-service; teams needing CRM sync must engage vendor engineering.
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 Field Force Tracker 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

    Field Force Tracker: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Field Force Tracker 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 Field Force Tracker to Odoo CRM data migrations

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

Can't find your answer?

Walk through your Field Force Tracker to Odoo CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most FFT-to-Odoo CRM migrations complete in 5–10 business days for datasets under 25,000 total records. The scoping and planning phase (Step 1–2) takes 2–3 weeks and runs before any data moves. Larger migrations with 25,000–100,000 records or multi-account setups extend to 3–5 weeks. The dominant variable is how many custom fields Odoo needs before data can load — each custom field requires developer-mode setup before the batch import runs.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Field Force Tracker.
Land in Odoo CRM, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

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