Whether you're migrating from a legacy ERP, upgrading between Odoo versions, or consolidating multiple systems into Odoo — we govern the entire process with data validation gates and parallel-run verification. Chicago is the industrial backbone of the Midwest with unmatched supply chain connectivity. Operations like Caterpillar, Abbott, John Deere run on complex ERP environments — often on SAP, Oracle, Epicor — where implementations frequently go over budget or under-deliver because scope is defined by modules, not operations. Chicago-area Industrial Equipment, Food & Beverage, Chemicals businesses are choosing Odoo for its flexibility, and choosing Metrotechs to govern the implementation so it fits the actual operation.
The difference between a successful Odoo implementation and a failed one in Chicago is almost always the same: operational mapping before configuration. Businesses that define data contracts and workflow boundaries first go live on schedule. Those that start with modules almost never do.
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.
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.
Odoo Migration for Chicago industrial equipment operations - configured around local workflows, data ownership, and implementation governance.
Odoo Migration for Chicago food & beverage operations - configured around local workflows, data ownership, and implementation governance.
Odoo Migration for Chicago chemicals operations - configured around local workflows, data ownership, and implementation governance.
Odoo Migration for Chicago electronics operations - configured around local workflows, data ownership, and implementation governance.
Odoo Migration for Chicago financial services operations - configured around local workflows, data ownership, and implementation governance.
Odoo Migration for Chicago distribution & logistics operations - configured around local workflows, data ownership, and implementation governance.
Simple migrations from QuickBooks or small ERPs: 2–4 months. Mid-size migrations from Epicor, NetSuite, or Dynamics: 4–8 months. Complex multi-site migrations from SAP: 6–12 months. The timeline is driven by data complexity and integration count, not just record volume.
No. We migrate historical transactions — orders, invoices, production records — based on your retention requirements. Typically 3–5 years of active history migrates to Odoo, with older records archived in accessible format.
Yes. Phased migration is our preferred approach for manufacturers with complex operations. Typical phases: financials first, then inventory and purchasing, then manufacturing and quality. Each phase has its own parallel run and cutover.
We audit existing reports and workflows, identify which ones are still used, and rebuild them in Odoo. Many legacy reports can be replicated with Odoo's built-in reporting. Custom workflows are mapped to Odoo's automation engine or rebuilt as custom modules.
ERP projects fail more often than they succeed. Not because the software is bad, but because the selection and implementation process is vendor-led instead of operations-led. Here's what good looks like before you sign anything.
Odoo covers most manufacturing operations natively. But every operation has workflows where the standard modules fall short. We map your BOMs, pricing logic, warehouse complexity, and dealer channels against Odoo's capabilities — so you go into implementation with a realistic scope, not surprises at month three.
Every failed ERP implementation has one thing in common: they migrated 20 years of bad data into a new system and expected different results. We cleanse, validate, and migrate master data with gates at every stage — so your new ERP starts with data you can trust.
Odoo doesn't run in isolation. It connects to WMS, CRM, M2B Commerce, EDI, shipping, banking, and legacy systems — all hosted and managed on AWS. Without governed integration architecture, those connections become a fragile web of point-to-point scripts that break every time something changes.
Odoo covers most manufacturing operations without a line of custom code. But when your workflows genuinely require it, we build Python custom modules — documented, tested, and upgrade-safe. We don't bolt code onto standard modules. We extend Odoo the right way.
ERP go-live is the highest-risk moment in the entire implementation. Orders are in flight, inventory is moving, and you're switching the system that governs all of it. We structure the cutover with rollback plans, validation gates, and hypercare support so your operation doesn't skip a beat.
Go-live is not the finish line — it's where the real optimization begins. Edge cases surface, users discover workarounds, and the configuration that worked in testing meets production reality. We monitor, tune, and optimize your ERP through the first 90 days and beyond so performance improves, not degrades.
The scariest moment in any migration is the cutover. We eliminate that fear by running old and new systems in parallel with automated reconciliation -- you switch over only when the new system has proven it produces the same results as the old one.
Big-bang migrations fail because they try to replace everything simultaneously. We decompose your legacy system into modules and replace them one at a time -- each phase is self-contained, tested, and reversible. Your operation never stops.
Most Odoo projects start with modules. Ours start with operational mapping. We define data contracts, integration boundaries, and go-live governance before a single module is configured.
When standard Odoo modules don't fit your manufacturing workflows, we build custom modules that extend Odoo without creating upgrade-blocking technical debt. Every custom module follows Odoo's ORM patterns and is designed to survive version upgrades.
Standard Odoo covers 80% of manufacturing needs. We close the remaining 20% with targeted customizations — module configuration, workflow adjustments, custom fields, and UI tailoring — without creating technical debt.
Metrotechs starts with the operating questions: which records are trusted, which workflows are manual, which systems own each decision, and where AI can safely improve throughput.
Talk To Metrotechs