ERP migration
Field-level mapping, validation, and rollback between Infor SyteLine / Infor CloudSuite Industrial and Odoo ERP. We move data and schema; workflows are rebuilt natively in Odoo ERP.
Infor SyteLine / Infor CloudSuite Industrial
Source
Odoo ERP
Destination
Compatibility
10 of 12
objects map 1:1 between Infor SyteLine / Infor CloudSuite Industrial and Odoo ERP.
Complexity
CModerate
Timeline
8-14 weeks
Overview
Migrating from Infor SyteLine or CloudSuite Industrial to Odoo ERP is a structural schema translation. SyteLine uses a bespoke SQL schema with bespoke table names and column names; Odoo uses its own ORM-backed models (res.partner, product.product, mrp.bom, mrp.production, sale.order). We extract from SyteLine via direct SQL for on-premise deployments or the Infor OS API Gateway for CSI cloud tenants, transform every record against a column-rule definition file that handles Y/N encoding, integer dates, and SyteLine-specific flag values, then load into Odoo through its standard data import tools. SyteLine Jobs (manufacturing work orders) map to Odoo Manufacturing Orders with BOM and routing data preserved. We enforce the SyteLine import sequencing rule in reverse on the export side: vendor records, customer records, and item records load before any purchase orders, sales orders, or work orders so that Odoo's foreign-key constraints are satisfied. Workflows, automations, and Infor ION integrations do not migrate; we deliver a written inventory of every active workflow and integration endpoint for the customer's Odoo administrator to rebuild post-migration.
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 Infor SyteLine / Infor CloudSuite Industrial 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.
Infor SyteLine / Infor CloudSuite Industrial
Customer
Odoo ERP
res.partner
1:1SyteLine customer master records map to Odoo res.partner with the customer flag enabled. Address records (primary and shipping) map to res.partner address fields; SyteLine's credit_limit and payment_terms map to credit_limit and property_payment_term on the partner. Multi-site customer structures in SyteLine where the same customer exists across sites require deduplication during export to avoid creating duplicate res.partner records in Odoo. We use the SyteLine cust_num as an external identifier to prevent duplicates on re-migration.
Infor SyteLine / Infor CloudSuite Industrial
Vendor
Odoo ERP
res.partner
1:1SyteLine vendor records map to Odoo res.partner with the supplier flag enabled. SyteLine's vendor address, banking, and purchasing terms map to the corresponding Odoo partner fields. Vendor records must be imported before purchase orders because Odoo enforces vendor_id as a required foreign key on purchase.order. SyteLine vendor codes migrate as external identifiers on the res.partner record.
Infor SyteLine / Infor CloudSuite Industrial
Item / Product
Odoo ERP
product.product + mrp.bom
1:1SyteLine items map to Odoo product.product with product type (stockable, consumable, service) derived from the SyteLine item type field. Items with Bill of Materials in SyteLine generate mrp.bom records in Odoo with the BOM type set to kit or manufacturing depending on the SyteLine Job Bom flag. SyteLine routing data attached to the item becomes mrp.routing on the associated BOM. Stock costs from SyteLine's cost layers migrate to Odoo's standard cost field. Product variants in SyteLine (size, color, configuration) map to Odoo product.template with product.attribute.value lines.
Infor SyteLine / Infor CloudSuite Industrial
Job (Manufacturing Work Order)
Odoo ERP
mrp.production
1:1SyteLine Jobs are the core manufacturing entity, linking materials (mJobMtl), labor (mJobOper), and operations to a production order. We map Job headers to Odoo mrp.production with the product_id, product_qty, and bom_id resolved from the item and BOM mapping. Job operations migrate to mrp.workcenter.line (or mrp.routing.workcenter depending on Odoo version), with workcenter_id resolved from the SyteLine wc_code. Material requirements migrate to mrp.bom.line via the Job BOM linkage. Job status (released, in process, complete) maps to Odoo state values (confirmed, progress, done). We preserve the original Job number as an external identifier on mrp.production for traceability.
Infor SyteLine / Infor CloudSuite Industrial
Bill of Materials
Odoo ERP
mrp.bom
1:1SyteLine BOMs (mBillMatl) map to Odoo mrp.bom records with product_tmpl_id referencing the finished item. BOM components and quantities migrate directly to mrp.bom.line. SyteLine BOM effectivity dates (start and end validities) map to Odoo's valid_from and valid_to date fields. Phantom BOMs in SyteLine map to Odoo type kit on the mrp.bom. Multi-level BOMs where a component is itself a sub-assembly with its own BOM generate nested mrp.bom records in Odoo.
Infor SyteLine / Infor CloudSuite Industrial
Sales Order
Odoo ERP
sale.order
1:1SyteLine sales orders (co_mstr with coitem lines) map to Odoo sale.order with the customer_id resolved from the customer mapping, and order lines migrated as sale.order.line. SyteLine's order total and tax calculations are recomputed in Odoo during import rather than migrated as values to avoid rounding discrepancies. Order dates, required dates, and promised dates migrate as the corresponding Odoo fields. Blanket orders with scheduled releases map to sale.order.type with line schedules migrated as sale.order.line scheduled dates. Line status from SyteLine (open, closed, cancelled) maps to Odoo's state values.
Infor SyteLine / Infor CloudSuite Industrial
Purchase Order
Odoo ERP
purchase.order
1:1SyteLine purchase orders (po_mstr with poitem lines) map to Odoo purchase.order with vendor_id resolved from the vendor mapping. Odoo enforces vendor_id as a required field before the PO header can be saved, which is why vendor import completes first. Line items map to purchase.order.line with product_id resolved from the item mapping, quantity, and unit price. Landed costs, prepayment percentages, and terms from SyteLine's po_mstr fields migrate to corresponding Odoo purchase.order fields or custom fields if no standard equivalent exists.
Infor SyteLine / Infor CloudSuite Industrial
Chart of Accounts
Odoo ERP
account.account
1:1SyteLine's Chart of Accounts (coa_mstr, coa_codes) maps to Odoo account.account with account.code preserved exactly. SyteLine's multi-segment COA structure (used for cost center or department sub-accounting) requires Odoo configuration: either a single-segment account code with cost center mapped to account.analytic.account, or a custom COA structure using Odoo's account.group for hierarchical segment grouping. Account type (asset, liability, equity, income, expense) maps from SyteLine's account type code. The full GL structure including inactive accounts migrates for audit trail completeness.
Infor SyteLine / Infor CloudSuite Industrial
Employee
Odoo ERP
hr.employee
1:1SyteLine employee records (emp_mstr) map to Odoo hr.employee after the HR application (hr module) is installed and enabled in the destination Odoo instance. Employee name, department, and job title migrate directly. Compensation fields (pay rate, pay type) migrate to hr.contract or custom fields depending on the Odoo payroll module configuration. SyteLine stores HR data differently depending on whether the HR module is active; we inspect the SyteLine schema to identify active HR tables before defining the employee mapping scope.
Infor SyteLine / Infor CloudSuite Industrial
Quote
Odoo ERP
sale.order (quotation state)
1:1SyteLine quotes generated via the CPQ module map to Odoo sale.order in draft (quotation) state rather than a separate quote object. Quote line configurations that represent complex product setups in SyteLine CPQ may require manual rebuilding in Odoo if the configuration complexity exceeds Odoo's standard variant configuration capability; we document these as exceptions in the migration scope for the customer to assess. Quote headers and item summaries migrate with basic pricing preserved.
Infor SyteLine / Infor CloudSuite Industrial
Project
Odoo ERP
project.project (or project.task)
lossySyteLine's project entity wraps job costing, billing, and revenue recognition into a single structure. Odoo does not have a direct equivalent for project-based job costing with integrated billing. We assess whether the customer uses SyteLine's project for manufacturing work orders (in which case mrp.production is the correct Odoo destination) or for project services (in which case project.project with project.task and timesheets is the appropriate destination). The customer confirms the intended Odoo project usage during scoping, and we map accordingly. Revenue recognition and billing data from SyteLine projects require custom field mapping or manual re-entry.
Infor SyteLine / Infor CloudSuite Industrial
Custom Field (Extended Column)
Odoo ERP
ir.model.fields
lossySyteLine custom fields appear as extended columns in the source SQL schema (not in a separate metadata table). During extraction, we inspect the full column set of each SyteLine table to identify non-standard columns. Each extended column is evaluated: SyteLine enumerated lists map to Odoo selection fields; date fields stored as integer in SyteLine SQL convert to Odoo date; Y/N checkboxes map to Odoo boolean fields. Unsupported SyteLine field types (such as bespoke Infor control types) are documented as requiring manual Odoo custom field creation before data import. We pre-create all identifiable custom fields in Odoo before the migration data load begins.
| Infor SyteLine / Infor CloudSuite Industrial | Odoo ERP | Compatibility | |
|---|---|---|---|
| Customer | res.partner1:1 | Fully supported | |
| Vendor | res.partner1:1 | Fully supported | |
| Item / Product | product.product + mrp.bom1:1 | Fully supported | |
| Job (Manufacturing Work Order) | mrp.production1:1 | Fully supported | |
| Bill of Materials | mrp.bom1:1 | Fully supported | |
| Sales Order | sale.order1:1 | Fully supported | |
| Purchase Order | purchase.order1:1 | Fully supported | |
| Chart of Accounts | account.account1:1 | Fully supported | |
| Employee | hr.employee1:1 | Fully supported | |
| Quote | sale.order (quotation state)1:1 | Fully supported | |
| Project | project.project (or project.task)lossy | Fully supported | |
| Custom Field (Extended Column) | ir.model.fieldslossy | 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.
Infor SyteLine / Infor CloudSuite Industrial gotchas
SyteLine and CloudSuite Industrial are the same product with different delivery models
SyteLine migration utility requires strict sequencing of master data before transactions
Field-level mapping differences between source and target schemas cause silent data truncation
API Gateway rate limits cap bulk migration throughput
Custom objects and custom fields are stored as extended columns in SyteLine's SQL schema
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
Source extraction and schema assessment
We extract the SyteLine data model by querying the source SQL schema directly for on-premise deployments or via the Infor OS API Gateway for CSI cloud tenants. We document every table in use (standard SyteLine tables plus any extended columns from custom fields), run record-count diagnostics per table, and identify the SyteLine modules active in the installation (manufacturing, purchasing, sales, HR, financial modules). This assessment produces a SyteLine schema map and a preliminary extraction plan that identifies any tables requiring custom SQL queries rather than the standard migration utility output. For CSI cloud tenants, we also profile the Infor OS API Gateway tier (Essentials, Professional, or Enterprise) to determine rate-limit thresholds and pagination requirements.
Odoo configuration and manufacturing module setup
Before any data moves, we install and configure the required Odoo applications: the MRP module for manufacturing data, the Purchase and Sales modules for order migration, the Accounting module for Chart of Accounts, and the HR module if employee records are in scope. We configure warehouse locations matching the SyteLine site structure, create workcenters from SyteLine wc_code records, and set up manufacturing routes. We create the Odoo custom fields identified during the SyteLine schema assessment (one custom field per SyteLine extended column that has no standard Odoo equivalent). This configuration runs in the customer's Odoo test or staging environment first.
Column-rule definition and transform development
We build the field-mapping and transform file that governs every record conversion. This file defines each SyteLine column mapped to its Odoo field equivalent, with explicit rules for data-type conversion (integer dates to ISO strings, Y/N to boolean, SyteLine enumerated codes to Odoo selection values). SyteLine's bespoke table names and column names are translated to Odoo's model and field names in the transform. We run a preliminary transform against a 1,000-row sample from each major table and produce a data-quality report showing null rates, truncation risks, and unresolvable lookups. Corrections to the transform file are applied before the full extraction begins.
Master data migration in dependency order
We migrate master data in SyteLine's enforced sequencing order: vendor records (res.partner with supplier flag) first, then customer records (res.partner with customer flag), then item and product records with BOM and routing data, then the Chart of Accounts, then employees. Each master data phase produces a reconciliation report comparing the extracted SyteLine row count against the Odoo inserted row count, with a null-field breakdown for the customer's review. Deduplication logic runs at this stage: SyteLine multi-site customers that share the same cust_num across sites are flagged for the customer to confirm whether they want one Odoo partner record or multiple. The Odoo external identifiers assigned during this phase (SyteLine primary keys mapped to Odoo ids) are stored in a cross-reference table used to resolve foreign keys in transactional imports.
Transactional data migration with BOM and Job sequencing
With master data in place, we migrate transactional records in dependency order: open purchase orders, open sales orders, then Job records (manufacturing work orders). Job import is the most complex step because each Job requires the product_id (resolved from the item mapping), the bom_id (resolved from the BOM mapping), the workcenter_id (resolved from the workcenter mapping), and the mrp_routing_id (resolved from the routing mapping) to be in place before the mrp.production record can be inserted. We batch Job records by status (released, in process) and import completed Jobs last. SyteLine Job material requirements and operation sequences migrate as separate linked records after the parent production order is confirmed. Each transactional phase emits a row-count and error-rate reconciliation report.
Cutover, final delta, and workflow handoff
We freeze SyteLine writes during the cutover window, run a final delta migration of any records modified during the migration period, then validate Odoo record counts against the SyteLine source totals across all object types. We deliver a written inventory of SyteLine workflows, ION integrations, and custom SQL stored procedures that require rebuild in Odoo. The Odoo administrator or a selected Odoo partner uses this inventory to rebuild automations post-migration. We provide a one-week hypercare window to resolve any Odoo-side reconciliation issues. We do not rebuild SyteLine workflows as Odoo server actions or automated actions inside the migration scope; that is a separate engagement.
Platform deep dives
Infor SyteLine / Infor CloudSuite Industrial
Source
Strengths
Weaknesses
Odoo ERP
Destination
Strengths
Weaknesses
Complexity grading
Moderate ERP migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Infor SyteLine / Infor CloudSuite Industrial 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
Infor SyteLine / Infor CloudSuite Industrial: 3,000–15,000 API executions per minute depending on subscription tier (Essentials/Professional/Enterprise); daily limits of 250,000–6,250,000 executions per day.
Data volume sensitivity
Infor SyteLine / Infor CloudSuite Industrial 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
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