CRM migration
Field-level mapping, validation, and rollback between Orderry and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Orderry
Source
Odoo CRM
Destination
Compatibility
11 of 12
objects map 1:1 between Orderry and Odoo CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
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.
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 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
Odoo CRM
res.partner
1:1Orderry 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
Odoo CRM
res.partner (company role) + res.partner (individual contacts)
1:manyWhen 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
Odoo CRM
crm.lead
1:1Orderry 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
Odoo CRM
sale.order.line
1:1Orderry 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)
Odoo CRM
crm.lead.activity or project.task
1:1Orderry 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
Odoo CRM
product.product + product.category
1:1Orderry 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
Odoo CRM
sale.order
1:1Orderry 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
Odoo CRM
account.move
1:1Orderry 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
Odoo CRM
res.company or res.partner custom field
1:1Orderry 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
Odoo CRM
product.product (type=consumable or stockable) + res.partner
1:1Orderry 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
Odoo CRM
res.users
1:1Orderry 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)
Odoo CRM
ir.model.fields (x_ prefixed) or res.partner custom field
1:1Orderry 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.
| Orderry | Odoo CRM | Compatibility | |
|---|---|---|---|
| Client | res.partner1:1 | Fully supported | |
| Client | res.partner (company role) + res.partner (individual contacts)1:many | Fully supported | |
| Work Order | crm.lead1:1 | Fully supported | |
| Work Order Line Items | sale.order.line1:1 | Fully supported | |
| Work Order (operational tracking) | crm.lead.activity or project.task1:1 | Fully supported | |
| Product | product.product + product.category1:1 | Fully supported | |
| Estimate | sale.order1:1 | Fully supported | |
| Invoice | account.move1:1 | Fully supported | |
| Location | res.company or res.partner custom field1:1 | Fully supported | |
| Asset | product.product (type=consumable or stockable) + res.partner1:1 | Fully supported | |
| Employee / Staff | res.users1:1 | Fully supported | |
| Custom Field (Orderry) | ir.model.fields (x_ prefixed) or res.partner custom field1:1 | 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.
Orderry gotchas
No public API for automated data export
Out-of-stock items cannot be added from product list
Hobby plan has hard caps with no expansion path
Annual pricing discount not shown in base prices
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
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.
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).
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.
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.
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
Orderry
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 Orderry 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
Orderry: 5 requests per second per documented Orderry help guide..
Data volume sensitivity
Orderry 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
Answers to the questions buyers ask most during Orderry to Odoo CRM migration scoping. Not seeing yours? Book a call.
Walk through your Orderry to Odoo CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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