CRM migration

Migrate from ServiceTracker to Odoo CRM

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

ServiceTracker logo

ServiceTracker

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

13 of 13

objects map 1:1 between ServiceTracker and Odoo CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

ServiceTracker is a field-service management platform built around work orders, assets, sites, and contracts. Its data model centres on customers, locations, and the work orders tied to each location. Odoo CRM uses a different architecture: leads and opportunities live in crm.lead, contacts and companies are stored in res.partner, and Odoo's pipeline stages are kanban-card states managed through crm.stage. FlitStack AI extracts ServiceTracker data via its REST/SOAP export API, maps every standard field to its Odoo equivalent, creates Odoo custom fields for ServiceTracker-specific properties like work_order_number, service_technician, and contract_type, and loads data through Odoo's xmlrpc interface. Workflows, dispatch rules, and SLA triggers are not migratable — we export ServiceTracker workflow definitions as a rebuild reference for your Odoo admin. The result is an Odoo CRM instance with complete service history, linked assets, and open work orders surfaced as opportunities or project tasks.

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

ServiceTracker logo

ServiceTracker

What's pushing teams away

  • Limited customization options frustrate teams that need deeper workflow control, leading them to platforms with more flexible automation and scripting capabilities.
  • Users report duplication issues when multiple note fields exist on the same record, complicating data entry and creating inconsistent records.
  • The lack of a documented public API makes deep integrations and automated data pipelines difficult, pushing technically demanding teams toward platforms with REST or bulk APIs.
  • Candidate and contact management workflows feel cumbersome with extra manual steps, prompting teams with HR-heavy use cases to look elsewhere.
  • Complex or opaque pricing at higher tiers causes some customers to reassess total cost and seek alternatives with more predictable billing.

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 ServiceTracker objects map to Odoo CRM

Each row shows how a ServiceTracker 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.

ServiceTracker

Customer

maps to

Odoo CRM

res.partner

1:1
Fully supported

ServiceTracker customer records map directly to Odoo res.partner. Company-level fields (name, phone, address) transfer as-is; individual contact records are created as child partners linked to the company partner record.

ServiceTracker

Site / Location

maps to

Odoo CRM

res.partner (address child)

1:1
Fully supported

ServiceTracker sites are multi-address customer locations. Each site becomes a child res.partner record with type='other', preserving the site name as the partner display name so dispatchers can distinguish locations in Odoo's map view.

ServiceTracker

Work Order

maps to

Odoo CRM

crm.lead (opportunity)

1:1
Fully supported

Open ServiceTracker work orders become Odoo crm.lead opportunities with the pipeline stage set to match the ServiceTracker status. Completed or cancelled work orders migrate as historical records with a 'Closed' stage; the original status is preserved in a custom field.

ServiceTracker

Work Order

maps to

Odoo CRM

project.task

1:1
Fully supported

Active work orders with scheduled technician assignments also generate project.task records in Odoo's project module. This preserves the job-level task breakdown, time estimates, and actual hours that ServiceTracker tracks separately from the CRM pipeline.

ServiceTracker

Asset

maps to

Odoo CRM

product.product / maintenance.equipment

1:1
Fully supported

ServiceTracker assets have serial numbers, model data, and install locations. These map to Odoo's maintenance.equipment model if the Odoo Maintenance module is installed, otherwise to product.product with custom fields for serial number, install date, and warranty expiry.

ServiceTracker

Contract

maps to

Odoo CRM

sale.subscription

1:1
Fully supported

ServiceTracker contracts with recurring billing periods and coverage tiers map to Odoo sale.subscription. The contract number, start and end dates, and coverage scope transfer as custom fields on the subscription record.

ServiceTracker

Technician / User

maps to

Odoo CRM

res.users

1:1
Fully supported

ServiceTracker technicians are matched to Odoo res.users by email address. If a technician has no Odoo user account, FlitStack creates a portal-user record so the technician can access the customer portal without a full internal licence.

ServiceTracker

Service History Line

maps to

Odoo CRM

mail.message / project.task (history)

1:1
Fully supported

Each service visit logged in ServiceTracker becomes a mail.message on the related crm.lead or project.task, preserving the date, technician, and notes text. This gives Odoo users a full service timeline on every opportunity.

ServiceTracker

Custom Field (ServiceTracker)

maps to

Odoo CRM

ir.model.fields (custom)

1:1
Fully supported

ServiceTracker custom fields created by the user (pick-lists, numeric fields, date fields) are created as Odoo custom fields on the target model (crm.lead or res.partner) before data loads, using Odoo Studio or Python model definition.

ServiceTracker

Attachment / File

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

ServiceTracker files attached to work orders or assets are downloaded and re-uploaded to Odoo's ir.attachment table, linked to the corresponding crm.lead or maintenance.equipment record. The original filename and MIME type are preserved.

ServiceTracker

Invoice / Billing Record

maps to

Odoo CRM

account.move

1:1
Fully supported

ServiceTracker invoicing records do not map to Odoo CRM — they belong in the accounting module and require a separate accounting migration pass. We preserve the invoice reference and amount as custom fields on the linked opportunity for reconciliation reference.

ServiceTracker

Workflow / Dispatch Rule

maps to

Odoo CRM

none

1:1
Fully supported

ServiceTracker dispatch rules, SLA triggers, and auto-assignment rules have no Odoo equivalent in the base CRM. We export the rule definitions as a JSON document so your Odoo admin can rebuild equivalent automation using Odoo Studio or server actions.

ServiceTracker

Reports / Dashboards

maps to

Odoo CRM

none

1:1
Fully supported

ServiceTracker report definitions and saved filters do not transfer. The underlying data (work orders, labour hours, parts used) migrates completely, so Odoo reporting can reconstruct equivalent analytics from the imported records.

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.

ServiceTracker logo

ServiceTracker gotchas

High

No native bulk data export API

Medium

Custom fields are not centrally documented

Medium

Offline mobile data must sync before migration window

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 has no native work-order object — pipeline stages are not status machines

    ServiceTracker treats work order status as a strict state machine with defined transitions (Open → In Progress → Completed). Odoo crm.stage values are free-form kanban columns with no enforced transition logic. Any status rules or SLA timers in ServiceTracker that depend on state transitions will not carry over automatically. We preserve the status value as a custom field and document the original transition logic for your Odoo admin to re-implement as server actions or Flow triggers.

  • Asset model split between maintenance.equipment and product.product requires module decision before migration

    ServiceTracker assets carry serial numbers, install locations, and warranty data. In Odoo, the maintenance.equipment model handles asset tracking, but it only exists if the Maintenance module is installed. If your Odoo instance does not include that module, assets fall back to product.product with custom fields, which changes how service-history linking works. We cannot finalise the asset field map until we confirm which Odoo apps are in your subscription — this is one of the first validation questions we raise in the discovery call.

  • Technician-to-user resolution requires email match or a licence decision

    ServiceTracker technicians are internal users who log time against work orders. In Odoo CRM, only res.users records can be assigned to crm.lead or project.task. If a ServiceTracker technician has no corresponding email in your Odoo user list, FlitStack raises a flag before migration: either create an Odoo user (costing a licence) or assign their records to a fallback owner. Portal-user creation is available for read-only technician access without consuming a full internal licence.

  • Contract-to-subscription mapping is not 1:1 — coverage periods map to recurring_rule_type

    ServiceTracker contract records have coverage start and end dates, billing frequency, and tier (Silver, Gold, Platinum). Odoo sale.subscription uses recurring_interval and recurring_rule_type for frequency, but there is no native contract-tier field. We create a custom pick-list field (x_studio_contract_type) on sale.subscription and map each ServiceTracker tier value to it. If you need subscription tier to drive pricing rules or discounts, that logic must be rebuilt as Odoo pricing templates after migration.

  • ServiceTracker dispatch rules and SLA timers have no Odoo CRM equivalent

    Auto-assignment rules that route ServiceTracker work orders to technicians based on territory, skill, or workload are rule-based constructs stored in ServiceTracker's configuration. Odoo CRM base has no equivalent — routing logic lives in Odoo Studio server actions or the Field Service module. We export your ServiceTracker rule definitions as a JSON file so your implementation partner can assess which rules map to Odoo scheduling constraints.

Migration approach

Six steps for a successful ServiceTracker to Odoo CRM data migration

  1. Confirm Odoo app stack and create custom fields

    Before extraction, FlitStack audits your Odoo instance to identify which apps are installed (CRM, Project, Maintenance, Subscription). We then create all required custom fields on crm.lead, res.partner, maintenance.equipment, and sale.subscription in a staging environment before any data loads. The field creation plan — with Odoo field names, types, and pick-list values — is delivered as a checklist for your Odoo admin to approve.

  2. Extract ServiceTracker data via REST/SOAP export

    We connect to ServiceTracker's export API using credentials your team provides. All standard objects (customers, sites, work orders, assets, contracts, service history) are pulled in full, plus any user-defined custom fields from ServiceTracker's custom-field registry. The extract runs in read-only mode against a staging export; your production ServiceTracker instance is not touched. A data-quality report flags missing required fields and duplicate records before we begin mapping.

  3. Map, deduplicate, and sequence the data load

    Customers are loaded first to establish res.partner parent records. Sites follow as child partners. Assets and contracts are loaded in parallel. Work orders and service history load last, with foreign keys resolving to the partner records created in the first pass. Technician email addresses are matched against your Odoo user list; unresolved technicians are flagged with owner fallback options. Any records with missing required fields are quarantined to a review queue.

  4. Run sample migration with field-level diff

    A representative slice — typically 200–500 records spanning all object types — is loaded into your Odoo staging environment. We generate a field-level diff showing source value, mapped Odoo value, and any transformation applied. You review opportunity stage mapping, asset linkage, and technician assignment. Only after you approve the sample does the full migration run proceed.

  5. Execute full migration with delta-pickup window and audit log

    The full dataset loads into Odoo production. A delta-pickup window (24–48 hours after initial load) captures any ServiceTracker records modified during the cutover window. Every operation is logged to an audit table including source record ID, destination record ID, field changes, and timestamp. One-click rollback reverts all migrated records if reconciliation identifies data integrity issues before go-live.

Platform deep dives

Context on both ends of the pair

ServiceTracker logo

ServiceTracker

Source

Strengths

  • All-in-one FSM covering dispatch, work orders, mobile access, and inventory in a single cloud platform.
  • Drag-and-drop customization for custom fields, screens, and picklists without developer involvement.
  • Mobile apps with offline capability for field technicians in low-connectivity environments.
  • Excel and CSV bulk import tools built into the platform for onboarding and data loads.
  • Customer owns their data completely with no secondary storage or data retention lock-in.

Weaknesses

  • No documented public API or bulk export endpoint — migrations require CSV pulls from individual tables.
  • Limited automation and workflow customization compared to more developer-friendly FSM platforms.
  • Data export is restricted to Excel and CSV formats with no XML or JSON option.
  • Pricing and feature tier boundaries are not publicly documented, complicating migration planning.
  • No native Knowledge Base or document management — external systems are required for standard operating procedures.
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 ServiceTracker 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

    ServiceTracker: Inherits Salesforce platform API rate limits.

  • Data volume sensitivity

    A

    ServiceTracker exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your ServiceTracker 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 ServiceTracker to Odoo CRM data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

Most ServiceTracker migrations complete in 48–72 hours of clock time for records under 25,000. Odoo schema setup — confirming which apps are installed and creating custom fields on crm.lead and res.partner — adds 1–2 days of planning. Complex setups with over 100,000 records or layered asset hierarchies extend to 5–10 days. The sample migration review step is the variable that most affects timeline; teams that respond to the diff within 24 hours keep the project on the short track.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ServiceTracker.
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