ERP migration
Field-level mapping, validation, and rollback between Kinetic and Odoo ERP. We move data and schema; workflows are rebuilt natively in Odoo ERP.
Kinetic
Source
Odoo ERP
Destination
Compatibility
9 of 12
objects map 1:1 between Kinetic and Odoo ERP.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from Epicor Kinetic to Odoo ERP is a structural schema remap, not a direct record copy. Kinetic organizes manufacturing data across separate Bill of Materials and Routing objects with revision chains and work-center scheduling; Odoo nests operations as lines inside a single Bill of Materials record with Work Centers as separate configuration. We split Kinetic BOM and Routing pairs into Odoo BoM plus routing operations, map Kinetic's segmented Chart of Accounts to Odoo's account structure, and preserve the multi-site warehouse hierarchy across the migration. Dirty data — inconsistent part numbers, missing work-center references, orphaned order lines — is the primary failure mode we catch during scoping rather than mid-load. Workflows, customizations, and Kinetic's DMT import jobs do not migrate; we deliver a written inventory for the customer's admin to rebuild post-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 Kinetic object lands in Odoo ERP, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Kinetic
Customer
Odoo ERP
Partner
1:1Kinetic Customer records map to Odoo Partner with partner_type set to 'customer'. Address, payment terms, and credit limits transfer to the corresponding Odoo Partner fields. We validate that each Customer's payment terms code exists in Odoo before import so that the sale order terms reference resolves correctly at load time.
Kinetic
Vendor
Odoo ERP
Partner
1:1Kinetic Vendor records map to Odoo Partner with partner_type set to 'supplier'. Multi-address vendor setups transfer as separate Partner addresses linked to the same parent Vendor partner. We preserve PO approval workflow assignments as Odoo purchase order approval rules configured post-migration.
Kinetic
Part / Item
Odoo ERP
Product
1:1Kinetic Part records map to Odoo Product. PartNum becomes the product's default_code; TypeCode determines the product type (stockable, consumable, service). UOM codes from Kinetic's unit-of-measure definitions require validation against Odoo's UoM model during scoping because Kinetic UOM sets frequently include non-standard codes that must be created in Odoo before product import can begin.
Kinetic
Bill of Materials
Odoo ERP
Bill of Materials (BoM)
1:manyKinetic BOM and Routing are separate objects. Odoo nests routing operations as lines inside a single BoM record. We split each Kinetic BOM-Routing pair during the transform phase: the BOM header becomes the Odoo BoM record, and each Kinetic Routing Operation becomes an Odoo BoM Operation line with Work Center reference, sequence, and cycle time. BOM revision chains from Kinetic (including revision dates, approval states, and effective dates) map to Odoo's active/engineering BoM structure with a revision comment field preserved for audit.
Kinetic
Routing
Odoo ERP
BoM Operations + Work Center
1:manyKinetic Routings reference Operations, Work Centers, and Sequences. Each Kinetic Operation step becomes an Odoo BoM Operation line linked to a mapped Odoo Work Center. We validate Work Center IDs against Kinetic before migration; invalid or missing Work Center references are a primary load failure cause. Where Kinetic uses step-level scheduling dependencies, Odoo models these as operation sequence ordering within the BoM with work center capacity constraints.
Kinetic
Sales Order Header
Odoo ERP
Sale Order
1:1Kinetic Sales Order headers map to Odoo Sale Order. Order type, terms, and ship-from Site must exist in Odoo before order lines can be added. We migrate order headers first, validate Site and payment-term existence, then load lines in a second phase. Order status (booked, partial, shipped) transfers as the Odoo sale order state field.
Kinetic
Sales Order Detail
Odoo ERP
Sale Order Line
1:1Kinetic Sales Order lines require the parent order header to exist in Odoo first. We sequence the load so that all order headers complete before any order lines begin. Line-level pricing, quantity, and promised dates migrate; part number references resolve to the corresponding Odoo Product record.
Kinetic
Purchase Order
Odoo ERP
Purchase Order
1:1Kinetic PO headers and lines map to Odoo Purchase Order. Vendor and Site records must exist in Odoo before PO lines can import. We handle PO approval workflow state by migrating the current approval status and flagging any PO that requires re-approval under Odoo's purchase approval rules post-migration.
Kinetic
Work Order
Odoo ERP
Manufacturing Order
1:1Kinetic Work Orders depend on Part, BoM, and Routing records already existing in Odoo. We sequence Work Order migration after all product, BoM, and routing data has loaded successfully. JobNum generation rules vary by site configuration; we map source JobNum patterns to Odoo's manufacturing order naming sequence or preserve original IDs where the customer requires them.
Kinetic
GL Account
Odoo ERP
Account
lossyChart of Accounts must exist in Odoo before any transactional records load. Kinetic COA structures frequently use segment-based account numbering (company, division, department) that differs from Odoo's flat account code model. We design the account mapping during scoping: natural accounts map directly; segmented accounts map to Odoo account groups or analytic account tags. The customer approves the COA structure before migration of any transactional data begins.
Kinetic
Site / Warehouse
Odoo ERP
Warehouse
1:1Kinetic Site records and their associated Warehouses transfer to Odoo Warehouse records. Multi-site configurations map to separate Odoo Warehouses with inter-warehouse transfer rules. We preserve site-specific parameters like default warehouse, shipping calendars, and any inter-site transfer configurations as Odoo warehouse rules.
Kinetic
Employee
Odoo ERP
Employee
1:1Kinetic Employee records map to Odoo Employee. User and owner assignments on records require the Employee to exist in Odoo first with a linked User for record ownership. We handle effective-dated employee status changes and preserve department and labor class assignments as Odoo HR department and job title mappings.
| Kinetic | Odoo ERP | Compatibility | |
|---|---|---|---|
| Customer | Partner1:1 | Fully supported | |
| Vendor | Partner1:1 | Fully supported | |
| Part / Item | Product1:1 | Fully supported | |
| Bill of Materials | Bill of Materials (BoM)1:many | Mapping required | |
| Routing | BoM Operations + Work Center1:many | Fully supported | |
| Sales Order Header | Sale Order1:1 | Fully supported | |
| Sales Order Detail | Sale Order Line1:1 | Fully supported | |
| Purchase Order | Purchase Order1:1 | Fully supported | |
| Work Order | Manufacturing Order1:1 | Fully supported | |
| GL Account | Accountlossy | Fully supported | |
| Site / Warehouse | Warehouse1:1 | Fully supported | |
| Employee | Employee1:1 | 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.
Kinetic gotchas
Dirty data is the primary migration blocker
DMT field-name precision required per object phase
Multi-database Kinetic Enterprise creates cross-database record dependencies
Custom UD Fields vary per tenant and per object
Incremental department migration risks orphaning cross-departmental transactions
Odoo ERP gotchas
No rollback for CSV imports
External ID conflicts on re-import
Many2many field encoding in CSV imports
Large export timeouts require batching
Version schema drift between Odoo releases
Pair-specific challenges
Migration approach
Discovery and scope definition
We audit the source Kinetic deployment across Sites, Companies, Parts, BOMs, Routings, Sales Orders, Purchase Orders, Work Orders, GL Accounts, and Employee records. We identify the number of Kinetic databases (multi-company or single-company), the extent of UD field usage, the BOM-Routing revision chain depth, and the transactional volume per object. We pair this with a review of the target Odoo configuration: installed modules, COA structure, UoM set, and warehouse configuration. The discovery output is a written migration scope, a preliminary BOM-Routing split design, a COA mapping draft, and a data-cleanse remediation queue with record counts.
Schema design and COA mapping
We design the Odoo schema to receive the migrating data: Products with UoM validation, BoM records with operation lines from routed BOMs, Work Centers pre-created with capacity parameters, Warehouses mapped from Kinetic Sites, and a Chart of Accounts structure approved by the customer's finance team. For companies with multi-segment Kinetic COA, we map each segment to Odoo account groups or analytic account tags. We also design the custom field layer that captures any Kinetic UD field values as Odoo custom fields. Schema is validated in an Odoo staging environment before production migration begins.
Data cleanse and remediation
We run pre-migration validation against the Kinetic data extract: parts with missing TypeCode, duplicate part numbers, orphaned BOM line items, missing Work Center references, and inconsistent GL account assignments. We deliver a remediation queue to the customer's data steward with row-level identifyers for each dirty record. No production migration phase begins until the remediation queue is cleared and a final extract confirms clean source data for Parts, Work Centers, and GL Accounts. This step prevents the mid-load failures that stall manufacturing ERP migrations and force rollback.
Sandbox migration and reconciliation
We run a full migration into an Odoo staging environment using production-equivalent data volumes. The customer's operations lead and finance lead spot-check 30-50 random records per object against the Kinetic source: part quantities, BOM component assignments, GL account balances, open PO amounts, and Work Order status. They reconcile the Odoo trial balance against the Kinetic GL trial balance for the cutover date. Any mapping corrections are documented and applied to the production migration script before cutover begins.
Production migration in dependency order
We run production migration in phased sequence: GL Accounts first (blocking all transactional loads), then Sites and Warehouses, then Products with UoM validation, then Employees and Partners, then BoM and Routing data with the BOM-Routing split transform applied, then open Purchase Orders and Sale Orders, then Work Orders, then any remaining transactional history. Each phase emits a row-count reconciliation report before the next phase begins. We use Odoo's XML-RPC API with batch chunking and retry logic for large record sets.
Cutover, validation, and rebuild handoff
We freeze Kinetic data entry during the cutover window, run a final delta migration of any records modified during the migration, then enable Odoo as the system of record. We deliver the BOM-Routing mapping documentation, the COA mapping workbook, the list of Kinetic UD fields and their Odoo custom field targets, and a written inventory of any Kinetic workflows or automation jobs requiring Odoo equivalent rebuild. We provide a one-week post-cutover hypercare window for reconciliation issues. We do not rebuild Kinetic workflows or customizations as Odoo automated actions inside the migration scope; that work is documented for the customer's admin team.
Platform deep dives
Kinetic
Source
Strengths
Weaknesses
Odoo ERP
Destination
Strengths
Weaknesses
Complexity grading
Standard ERP migration. 2 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 Kinetic and Odoo ERP.
Object compatibility
2 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
Kinetic: Not publicly documented in standard Epicor API references.
Data volume sensitivity
Kinetic 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
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FAQ
Answers to the questions buyers ask most during Kinetic to Odoo ERP migration scoping. Not seeing yours? Book a call.
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