CRM migration

Migrate from Orderry to Odoo CRM

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

Orderry logo

Orderry

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

92%

11 of 12

objects map 1:1 between Orderry and Odoo CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Orderry organizes service businesses around Clients, Work Orders, Estimates, Products, Invoices, and Locations — a flat, per-location data model that works well for repair shops but becomes a constraint as service operations scale. Odoo CRM is an open-source ERP that separates contacts and companies (res.partner), splits leads from opportunities (crm.lead vs sale.order), and models products as product.product with inventory-aware sale order lines. The migration carries everything Orderry stores natively — clients, work order history, product catalog, assets, invoices — into Odoo's relational object graph. The harder problems are translating Orderry's work orders into Odoo's split crm.lead / sale.order model, preserving per-location data as Odoo companies or custom fields, and mapping Orderry's service templates and notification workflows to Odoo's automation rules framework. We use scoped read access on Orderry and Odoo's XML-RPC API for import, with a delta-pickup window capturing any in-flight records during cutover. FlitStack AI performs a pre-migration data audit, validates field mapping, and executes a delta-pickup window to capture any in-flight records, ensuring a complete and consistent Odoo CRM instance from day one.

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

Orderry logo

Orderry

What's pushing teams away

  • Orderry lacks a documented public API, making it difficult to connect to external BI tools, sync with accounting platforms, or run automated exports for migration projects.
  • The inventory module does not allow adding out-of-stock spare parts from the product list, forcing technicians to manually enter items and create duplicate records when stock arrives.
  • Performance occasionally slows during peak usage, with reviewers noting moments of unresponsiveness that disrupt active repair workflows.
  • Hobby plan's hard cap of 2 employees and 1 location cannot be exceeded, pushing growing shops to upgrade or switch platforms rather than simply adding seats.

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 Orderry objects map to Odoo CRM

Each row shows how a Orderry 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.

Orderry

Client

maps to

Odoo CRM

res.partner

1:1
Fully supported

Orderry Client maps to Odoo res.partner as a company-type partner (type=contact or type=company depending on whether the client is an individual or organization). FlitStack creates the partner record first so that contacts and work orders can reference it via partner_id foreign key. Address fields (street, city, phone, email) map directly; Odoo stores addresses on the partner record itself rather than a separate address object.

Orderry

Client

maps to

Odoo CRM

res.partner (company role) + res.partner (individual contacts)

1:many
Fully supported

When an Orderry Client has multiple named individuals (e.g., a corporate customer with three service contacts), FlitStack creates one company-type res.partner as the parent and splits each named individual into a contact-type res.partner with parent_id pointing to the company partner. This preserves the full contact hierarchy that Orderry tracks per-location.

Orderry

Work Order

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Orderry Work Order maps to Odoo crm.lead as the primary sales pipeline record. Work order name becomes crm.lead name (displayed as opportunity title in Odoo's Kanban pipeline view). Work order status (New, In Progress, Completed, Cancelled) maps to crm.lead stage_id via value mapping. The assigned employee email resolves to Odoo res.users via email match for crm.lead user_id assignment.

Orderry

Work Order Line Items

maps to

Odoo CRM

sale.order.line

1:1
Fully supported

Orderry Work Order line items (parts used, labor hours, services) map to Odoo sale.order.line records on a sale.order created alongside each crm.lead. Products map via product_id to product.product; service lines map with product_type=service. Quantity and price carry over; Odoo's sale.order.line tracks order quantity, delivered quantity, and invoiced quantity separately from the pipeline crm.lead.

Orderry

Work Order (operational tracking)

maps to

Odoo CRM

crm.lead.activity or project.task

1:1
Fully supported

Orderry Work Orders that represent operational task tracking (not just sales pipeline) may need a companion record: either logged as crm.lead activities with type and date fields, or mapped to project.task if the Odoo Project module is installed. FlitStack surfaces this as a migration-plan decision — you choose whether operational work orders become pipeline opportunities, activity logs, or project tasks.

Orderry

Product

maps to

Odoo CRM

product.product + product.category

1:1
Fully supported

Orderry Products map to Odoo product.product records. Product type in Orderry (stock item vs. service) sets product.product type to stockable or service respectively. Orderry product categories map to Odoo product.category for inventory grouping. Product unit of measure (unit, hour, day) maps to product.product uom_id against Odoo's uom.uom unit list.

Orderry

Estimate

maps to

Odoo CRM

sale.order

1:1
Fully supported

Orderry Estimates map to Odoo sale.order in draft/quotation state (state=draft). Estimate line items map to sale.order.line using the same product.product translation as Work Order lines. Orderry's accepted/rejected estimate status maps to Odoo sale.order state: sent → quotation sent; approved → sale_order confirmed; rejected → cancelled.

Orderry

Invoice

maps to

Odoo CRM

account.move

1:1
Fully supported

Orderry Invoices map to Odoo account.move records of type out_invoice. Invoice line items map to account.move.line with product_id, quantity, price_unit, and tax_ids from the Orderry invoice. Partner payment terms and journal assignments are applied based on Odoo's default account configuration for the partner.

Orderry

Location

maps to

Odoo CRM

res.company or res.partner custom field

1:1
Fully supported

Orderry Locations are first-class business units with separate inventory, staff, and client pools. Odoo has no native multi-location CRM concept — FlitStack maps each Orderry Location to either a separate res.company (if Odoo multi-company is configured) or to a custom Location__c char field on res.partner. Multi-location clients get multiple partner records or a single partner with location arrayed in the custom field.

Orderry

Asset

maps to

Odoo CRM

product.product (type=consumable or stockable) + res.partner

1:1
Fully supported

Orderry Assets track customer-owned equipment under repair. FlitStack creates a product.product record for each Asset (type=product) linked to the client res.partner via product_variant_ids. Asset serial number maps to product.product lot_id if Odoo Inventory is installed; otherwise stored as a custom char field for reference. Asset status history is preserved as crm.lead activity logs.

Orderry

Employee / Staff

maps to

Odoo CRM

res.users

1:1
Fully supported

Orderry Employees map to Odoo res.users for owner and assignee resolution. FlitStack matches Orderry employee email against Odoo user emails to populate crm.lead user_id. If no Odoo user exists for an employee, records are assigned to a fallback admin user and flagged for manual reassignment. res.partner records for employees are created separately if needed for HR purposes.

Orderry

Custom Field (Orderry)

maps to

Odoo CRM

ir.model.fields (x_ prefixed) or res.partner custom field

1:1
Fully supported

Orderry custom fields on Client, Work Order, and Product migrate to Odoo custom fields via Settings > Technical > Database Structure > Models. Char fields become char fields; pick-list fields become selection fields with value-by-value mapping. FlitStack creates the custom field definitions in Odoo before data loads so the target fields exist at migration time.

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.

Orderry logo

Orderry gotchas

High

No public API for automated data export

Medium

Out-of-stock items cannot be added from product list

Medium

Hobby plan has hard caps with no expansion path

Low

Annual pricing discount not shown in base prices

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 does not have an equivalent Work Order object — migration requires decomposition into crm.lead and sale.order

    Orderry's Work Order is a hybrid record that combines customer relationship (who), operational task (what work), financial line items (products/labor), and status tracking in one object. Odoo does not have a native Work Order concept in the CRM module — it splits this into crm.lead (for the pipeline/opportunity), sale.order with sale.order.line (for quotation and line items), and optionally project.task (for operational task tracking). FlitStack maps Work Orders to crm.lead as the primary record and generates a companion sale.order with line items from the Orderry work order lines. This decomposition is the single most complex object-level transformation in an Orderry-to-Odoo migration and must be validated with a sample run before the full cutover, because pipeline-stage mapping and line-item tax configuration interact with Odoo's sale.order state machine.

  • Orderry's per-location data model maps awkwardly to Odoo's company structure

    Orderry treats Locations as first-class data containers — each location has its own client pool, inventory, staff roster, and work order list. Odoo has no native multi-location CRM concept at the data model level. The two viable mapping strategies are: (1) create a separate res.company per Orderry Location if Odoo's multi-company configuration is active, which gives full data isolation but multiplies user and reporting complexity; or (2) map each Orderry Location to a custom Location__c char field on res.partner and filter reports by that field. Strategy (2) is the more common choice for service businesses moving to Odoo CRM-only, but it requires planning which Orderry fields (products, staff, inventory) should be shared across locations vs. location-specific. FlitStack surfaces this as a pre-migration configuration decision and delivers the Odoo schema plan before data lands.

  • Orderry automation rules, approval workflows, and notification templates do not migrate to Odoo

    Orderry service templates, automatic status-transition rules, approval chains, and email/SMS notification triggers are stored as Orderry-specific workflow configuration that has no Odoo equivalent. Odoo's automation is built on ir.actions.server, base.automation rules, and Odoo Studio — each of which must be authored fresh. FlitStack migrates the data these automations act upon (clients, work orders, products) but the automation logic must be rebuilt manually in Odoo. We export the full list of Orderry automations as a rebuild reference document, noting each trigger condition, action type, and affected object so Odoo administrators can reconstruct equivalent Odoo rules. This is disclosed upfront because it represents the most manual post-migration effort for service businesses that rely heavily on Orderry's built-in workflow automation.

  • Odoo Enterprise API access requires a paid plan — Community edition external API has no SLA

    Odoo's external API (XML-RPC and JSON-RPC) is available on all plans, but the SLA and support entitlements differ: Odoo Online and Odoo.sh with a paid subscription include guaranteed API uptime and support for external API issues. Odoo Community (self-hosted or Odoo.sh free tier) exposes the API but with no commercial SLA and with rate-limiting that varies by hosting configuration. If your Odoo instance is self-hosted Community, the API is available but the performance characteristics are determined by your server. FlitStack recommends Odoo Enterprise or Odoo.sh paid plan for production migrations to ensure API reliability during the bulk data load. We test API connectivity and throughput during the pre-migration discovery phase and advise on the hosting configuration before the migration begins.

  • Orderry plan limits (Hobby tier record caps) can affect pre-migration data export

    Orderry's Hobby plan imposes a cap on the number of work orders or sales records that can be stored — teams at or near this limit may have older records archived or truncated in the export. FlitStack detects this during pre-migration discovery by comparing the reported record counts against the plan tier limits. If records are missing from the export, we surface the gap and discuss whether to upgrade Orderry temporarily for the export window or accept the truncation. This is disclosed proactively because it is a source-platform constraint that can affect the completeness of the migration even before any Odoo-specific issues arise.

Migration approach

Six steps for a successful Orderry to Odoo CRM data migration

  1. Pull a full data export from Orderry

    FlitStack uses Orderry's export tools and API access to pull complete record sets for all objects: Clients, Work Orders, Estimates, Invoices, Products, Assets, Locations, and Employees. We export all custom fields alongside standard fields. If any record types are approaching plan limits (Hobby tier), we flag the truncation risk before proceeding and confirm whether to upgrade temporarily. The export is validated against record counts reported by Orderry's built-in reporting to confirm nothing was silently dropped.

  2. Map Orderry objects and fields to Odoo models

    We produce a full object-mapping and field-mapping plan covering every Orderry object: Client → res.partner, Work Order → crm.lead + sale.order, Estimate → sale.order (draft), Invoice → account.move, Product → product.product, Asset → product.product, Location → res.company or custom field. Custom fields are mapped to Odoo custom field definitions (x_ prefixed via Settings > Technical > Models). Work order line items are mapped to sale.order.line records on the companion sale.order. Value-mapping tables are built for every pick-list field (status, type, industry, country, state).

  3. Set up Odoo schema and resolve users

    Before data loads, we create the required Odoo custom fields, product categories, and pick-list values. If multi-company is the chosen location strategy, we create the res.company records. Odoo users are matched to Orderry employees by email — unmatched employees are flagged for manual Odoo user creation or fallback assignment. Products are loaded first so that sale.order.line records can reference valid product.product ids during the work order migration step. Clients are loaded before work orders so partner_id foreign keys resolve correctly.

  4. Run a sample migration with field-level diff

    A representative slice of 100–500 records — spanning clients, work orders, line items, products, and invoices — migrates first. We generate a field-level diff comparing source values against destination field values so you can verify the crm.lead stage mapping, sale.order.line price and tax calculations, and owner resolution. The diff highlights any records that fail to create (FK resolution errors, missing pick-list values) and any fields that round or truncate unexpectedly. We walk through the diff together before committing to the full run.

  5. Cut over with delta-pickup for in-flight records

    The full migration loads all records into Odoo using the validated mapping. A delta-pickup window (24–48 hours) captures any new or modified Orderry records created during the cutover. Audit log records every operation. One-click rollback reverts the Odoo instance to pre-migration state if reconciliation identifies critical data quality issues. After cutover, we deliver a reconciliation report comparing record counts by object, total invoice amounts, and open work order counts between the final Orderry export and the loaded Odoo data.

Platform deep dives

Context on both ends of the pair

Orderry logo

Orderry

Source

Strengths

  • Single subscription covers FSM, CRM, POS, inventory, and invoicing without requiring separate tools.
  • Simple per-month pricing with annual discount and no credit card for trial reduces evaluation friction.
  • Custom fields on Tickets and Orders allow vertical adaptation without developer involvement.
  • Mobile apps for field technicians and manager dashboards enable on-site and back-office visibility.
  • XLS/CSV import with field mapping provides a workable bulk data entry path for non-API migrations.

Weaknesses

  • No documented public REST API restricts integration options and complicates automated migration workflows.
  • Inventory module requires items to be in-stock before they can be added to Orders, forcing manual workarounds for out-of-stock parts.
  • Performance occasionally degrades, with moments of unresponsiveness reported by active users.
  • Limited third-party integrations beyond Square payments and Google sync compared to larger FSM platforms.
  • Platform is relatively niche, with a small review base making independent evaluation harder.
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 Orderry 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

    Orderry: 5 requests per second per documented Orderry help guide..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Orderry 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 Orderry to Odoo CRM data migrations

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

Can't find your answer?

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

Book a free 30 minute consultation

Most Orderry-to-Odoo migrations complete in 48–72 hours of clock time for under 50,000 records across clients, work orders, products, and invoices. Larger datasets exceeding 500,000 records, or setups with extensive work order line-item history and custom field complexity, extend to 5–7 days. The work order decomposition step — splitting Orderry Work Orders into Odoo crm.lead and sale.order records — is the longest planning and validation phase. Mapping pick-list value translations across status, type, and location fields also adds planning time on setups with more than three pipelines.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Orderry.
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.

Accuracy guarantee Rollback included Quote in 1 business day