What leaders see
Teams keep working around the core system.
Spreadsheets, re-entry, side databases, and manual approvals remain necessary to complete ordinary work.
ERP · Odoo Migration
Move to Odoo without losing operating history or control. Moving to Odoo changes more than a database. We protect manufacturing master data, inventory, open orders, production work, financial control, integrations, decisions, and user confidence while the operating system changes.
01
The Business Problem
ERP problems begin when software selection, process decisions, master data, integrations, adoption, and cutover are treated as separate projects instead of one operating change.
What leaders see
Spreadsheets, re-entry, side databases, and manual approvals remain necessary to complete ordinary work.
What is actually happening
Records, workflows, controls, ownership, and integrations do not support the way the business has agreed to operate.
What gets worse
Customizations and local processes accumulate while upgrades, reporting, support, and adoption become more difficult to govern.
02
What Changes
Moving to Odoo changes more than a database. We protect manufacturing master data, inventory, open orders, production work, financial control, integrations, decisions, and user confidence while the operating system changes.
Migrate from SAP, Epicor, NetSuite, Dynamics, QuickBooks, or custom systems to Odoo. We map every data entity, transform formats, validate at every gate, and cut over with rollback capability.
Upgrade from older Odoo versions (12, 13, 14, 15, 16) to the latest release. We migrate data, update custom modules, validate integrations, and regression-test before production cutover.
Map source system fields to Odoo models. Transform data formats, merge duplicates, and enrich records during migration. Every mapping is documented and reversible.
Migrate transaction history — sales orders, purchase orders, invoices, production records — so your team retains full operational context. Define retention rules for what migrates and what archives.
Run the old system and Odoo side by side, processing the same transactions. Compare outputs to validate accuracy before cutover. No big-bang surprises.
Detailed cutover runbook with timeline, responsible parties, validation checkpoints, and rollback triggers. Weekend or off-hours execution to minimize disruption.
03
How It Fits Your Operations
Related Services and Planning
Follow the dependencies behind this service instead of treating it as an isolated project.
Place this decision inside the wider ERP implementation, integration, migration, and operating path.
Explore next stepConnect ERP records to the systems, partners, and workflows that depend on them.
Explore next stepPrepare governed records, reporting, and analytics around the ERP operating model.
Explore next stepUse Launchpad when the operating problem needs a structured assessment, readiness evidence, architecture, and implementation Roadmap.
Explore next stepStart With the Operating Problem
Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.
04
Delivery sequence
Moving to Odoo changes more than a database. We protect manufacturing master data, inventory, open orders, production work, financial control, integrations, decisions, and user.
Audit the source system — data quality, volume, relationships, customizations. Identify what migrates, what transforms, and what gets left behind.
Design the migration pipeline — extraction scripts, transformation rules, loading sequences, validation gates. Define rollback procedures for every stage.
Execute migration in test environments 3-5 times before production. Each run identifies and fixes issues. Production migration is never the first run.
Execute production cutover with the proven runbook. 30-day hypercare period to catch and resolve post-migration issues.
05
FAQ
Straight answers to what operators ask before committing budget to this work.
The schedule is driven by data condition, source systems, open transactions, integrations, custom behavior, user readiness, trial results, and cutover risk. The Roadmap should expose those dependencies before a target date becomes a commitment.