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Odoo Implementation

Odoo migrations that go live and stay live.

We do the 70% of the project that isn't “clicking around in Odoo” — discovery, data migration, EDI and channel integrations, UAT, training, cutover, and hypercare. Built on real Odoo Ready Partner credentials and years of operational experience in apparel, manufacturing, and wholesale.

(yes, even the ones with 20 years of crusty data.)

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The gap

What direct Odoo quotes cover, and what they don't.

A direct Odoo S.A. quote is honest about what they're selling: configuration. The piece that decides whether the implementation actually works for your operation — discovery, data, integrations, UAT, training, hypercare — is, by design, somebody else's problem. Usually yours. This is the gap we close.

Direct Odoo quote150 hrs

Configuration only. Assumes you have someone internal to map processes, clean data, build integrations, and own the cutover.

What it actually takes500 hrs

Discovery, data migration, EDI, channel integrations, UAT, training, go-live, hypercare. The work that decides whether the project succeeds.

What's actually in scope

Seven phases. Real hours. A clear runway to go-live.

Hours below are estimates from a representative mid-market apparel migration. Manufacturing implementations look similar — different complexity in BOMs and routings instead of EDI and channels. Larger data sets and multi-entity setups push the totals up.

01~80 hrs

Discovery & Process Design

Two-week paid engagement that ends with a scoped SOW. Process mapping across order-to-cash, procure-to-pay, inventory, and (where applicable) manufacturing. Gap analysis against Odoo's standard flows. Decisions captured in writing — what we replicate, what we fix, what we retire.

DeliverableProcess map, gap analysis, fixed-fee SOW with hour breakdown by phase.
Why this mattersThe cheapest place to fix a broken process is on a whiteboard, not in a configured ERP after go-live. Discovery is where projects either get scoped honestly or run aground later.
02~80 hrs

Data Migration

Customers, vendors, products, variants, BOMs, pricelists, contacts, inventory, open orders, historical sales, AR/AP balances. Cleaned and validated against Odoo's data model, mapped through transformation scripts, and rehearsed against a staging instance before cutover. Manufacturing projects bring extra weight here — multi-level BOMs, phantom kits, routings.

DeliverableReconciled migration scripts, staging-instance dry runs, a written cutover runbook.
Why this mattersMost ERP projects that fail visibly at go-live actually failed silently during migration. Treating data as a real workstream — not a bullet on the project plan — is the difference.
03~120 hrs

Configuration

Sales, purchasing, inventory, accounting (Anglo-Saxon vs Continental valuation chosen deliberately), pricing engines, multi-warehouse rules, manufacturing modules, analytic accounting and budget reporting. Configured to match how you actually operate — not how the demo company operates.

DeliverableA working Odoo instance configured to your operations, with role-based access, custom fields, and analytic dimensions in place.
Why this mattersConfiguration is the part vendors quote, but it's also where bad decisions calcify. The right valuation choice or pricelist structure is a 30-second click that pays back for years.
04~120 hrs

Integrations

EDI (SPS Commerce 850 / 810 / 856 with retailer-specific mappings), Shopify (or Shopify B2B), Elastic if it's part of the stack, marketplace channels, shipping carriers, payment gateways, MES if you're manufacturing. Built with monitoring, error logging, and runbooks — not handed off as black boxes.

DeliverableLive integrations, monitoring dashboards in the client portal, written architecture and recovery procedures.
Why this mattersIntegrations are where most ERP implementations either earn their keep or quietly bleed staff time forever. The only acceptable answer to 'is the order sync working?' is one a non-technical person can check in 10 seconds.
05~50 hrs

Testing & UAT

Real scenarios, your team, your data. Order entry, picking, shipping, returns, EDI ack flows, month-end close — the things that actually run your business. Sign-off on each scenario before cutover.

DeliverableUAT script library, signed-off scenario results, an issues log triaged to fixes.
Why this mattersUAT done well surfaces every gap before they become incidents. UAT done badly is a 30-minute demo and a thumbs up.
06~30 hrs

Training & Change Management

Role-based training (warehouse, sales, finance, ops), written SOPs your team can actually find later, recorded sessions for new hires, and a phased switchover plan that doesn't ask anyone to learn the system at midnight on go-live day.

DeliverableSOPs in your documentation system, recorded training videos, a pre-go-live confidence check per role.
Why this mattersA perfect implementation no one knows how to use is a failure. This is where 'works on Monday' is actually decided.
07~20 hrs

Go-Live & Hypercare

On-site or on-call through cutover. Daily standups with your team for the first week, transitioning to scheduled checkpoints over four weeks of hypercare. Every issue triaged and resolved by us, not handed off to a queue.

DeliverableClean go-live, hypercare ticket log, post-mortem with what we'd refine for the next project.
Why this mattersHypercare is where confidence is built or broken. Sticking around until the system genuinely runs on its own is non-negotiable.
Technical depth

What we customize and extend in Odoo.

Configuration is a starting point. The places below are where we routinely go beyond it — cleanly, in upgrade-friendly ways, without leaving you stranded on a fork.

Custom modules (manifest-based, OCA-friendly)

When standard Odoo doesn't quite fit, we extend it the way upstream Odoo extends itself — proper manifests, clean dependencies, no monkeypatches that break on the next minor version.

Shopify Emipro connector configuration

We work fluently with Emipro's Odoo-Shopify connector — including the gnarlier territory of variant mapping, multi-store setups, and custom field sync.

EDI integration patterns

SPS Commerce native, Confianz, or fully custom — we'll pick the right route for your retailer mix and build it with retailer-specific mapping, drop-ship vs DC routing, and 856 ASN automation.

Elastic ↔ Odoo connector

We built and maintain a native Odoo app for Elastic B2B integration. Catalog, pricing, orders, customers, ATS — bidirectional where it matters.

Analytic accounting & budget reporting

Analytic dimensions, budget vs actual reporting, departmental P&L — set up so finance can self-serve without monthly hand-holding.

Inventory valuation done deliberately

Anglo-Saxon vs Continental, perpetual vs periodic, FIFO vs average cost. We'll explain the trade-offs, recommend the right call for your business, and configure it once — properly.

Portal & quotation customization

Customer portals, quotation flows, signed-acceptance workflows — branded and configured to match your sales process, not the Odoo default.

Bulk import & data preservation

Variant matrices, COGS reclassification, historical sales preservation, lot/serial pre-population. The unglamorous work that makes go-live a non-event.

Migration sources

Where you're coming from, and what we know about it.

Migrating from A2000

We have deep experience extracting from A2000 — the data model is well-understood, and we've already built the transformation patterns that get apparel-specific complexity (variants, drop-ship rules, MAP) into Odoo cleanly.

Migrating from NetSuite

We've integrated with NetSuite extensively but haven't run a full NetSuite-to-Odoo migration end-to-end yet. We'd treat that engagement with appropriate diligence — extra discovery time, conservative phasing, and explicit checkpoints around custom-record extraction.

Migrating from Cin7

Cin7 to Odoo is a familiar move for inventory-heavy brands outgrowing the platform. The REST API gives us a clean extraction path, and Odoo's manufacturing module typically picks up complexity Cin7 was working around.

Migrating from Finale

Finale is a capable inventory ops platform, but at scale brands often need a real ERP for accounting and multi-entity work. The data model is straightforward and the migration path is well-trodden for us.

How a project goes

Every Odoo engagement runs on the same five-step rhythm — Discovery → Plan → Build → Validate → Cutover — with a fixed-fee SOW signed before any build work starts.

Read the full methodology →

Considering Odoo for your next ERP? Let's talk through it.

30-minute discovery call. Bring your direct Odoo quote if you have one — we can walk through what's covered, what isn't, and what a full implementation looks like end-to-end.