On-Site Discovery
We walk the floor, the warehouse and a full finance close with your team — because the workarounds that define your process are never in the requirements document.
On-site discovery, fit-gap analysis, reconciled migration and phased cutover — ERP implementation that goes live on time.
Share your project details — a senior engineer responds within 4 hours.
Independently audited, certified and built to standards you can check

ERP implementation configures Odoo, ERPNext, Business Central or NetSuite against your actual finance, inventory and manufacturing workflows. Codazz runs on-site discovery, delivers a written fit-gap analysis, reconciles master data before cutover and phases go-live — fixed-price, no reseller commission, live in 10–16 weeks.
We walk the floor, the warehouse and a full finance close with your team — because the workarounds that define your process are never in the requirements document.
Every process listed with whether the platform handles it natively, needs configuration, or needs custom development — with the cost of each gap, before you commit to a budget.
Chart of accounts, warehouses, workflows, approval matrices and permissions configured, plus custom modules only where the gap analysis proved they were needed.
Item masters, supplier lists, customers and BOMs profiled, de-duplicated and standardised as a funded workstream — the single biggest predictor of go-live success.
Process owners run their real transactions through the configured system at the end of each phase, so problems surface while changes are still cheap.
A dry-run migration with reconciliation reports, then a rehearsed cutover runbook with defined rollback — no script runs on production data for the first time.
Our Work
200+ products shipped across fintech, healthcare, e-commerce, and SaaS — built to scale, designed to convert.

Logistics
A delivery management platform with live vehicle tracking, route planning and customer-facing shipment status.

Logistics
A freight management platform for an established trucking operator, covering load tracking and job records.

Logistics
A load management platform covering job intake, assignment and delivery confirmation for a trucking operator.

Web Design
A marketing site for an interior design studio, rebuilt on Next.js to load fast on mobile and convert visitors into enquiries.

Healthcare
A patient management platform handling scheduling, records and clinician-patient messaging for a healthcare provider.

E-Commerce
A fitness e-commerce storefront built on Next.js with Shopify as the commerce backend and Stripe handling payments.
Current-state process mapping on site, master data audit, integration inventory and a costed fit-gap analysis with a platform recommendation and total cost of ownership model.
Module-by-module configuration with custom development only where the gap analysis justified it, validated by conference-room pilots against your real transactions.
Master and transactional data migrated to staging with reconciliation reports — trial balance, open AR/AP, stock on hand and open orders signed off by your controller.
Phased go-live against a rehearsed runbook, role-based training for every department, and hypercare through your first month-end close in the new system.
The full ERP hub — custom builds, Odoo development, integration and migration.
ExploreCustom Odoo modules, version migration and performance tuning.
ExploreWhen the fit-gap analysis says no platform fits, build on your own data model.
ExploreThe same discipline applied to Salesforce, HubSpot and Dynamics 365 CRM.
ExploreLogistics
An IoT fleet and route-optimization platform running 15K+ daily deliveries with a 98% on-time rate and 25% fuel savings.
Read case studyFinTech
Rebuilt a real-time trading engine for 100K+ users — sub-50ms latency and 99.99% uptime.
Read case studyHealthcare
A HIPAA-compliant patient platform that has handled 200K+ consultations and cut consultation time by 60%.
Read case studyCompare monthly team costs by region and seniority using our published rate table.
Open toolCompare freelancers, in-house hiring, staff augmentation, dedicated teams and managed outsourcing.
Open toolCompare up to 3 agencies on 8 weighted criteria, get a score out of 100 each and spot red flags.
Open toolERP implementation cost, timelines, choosing a platform, fit-gap analysis, phased rollout and rescuing failed projects.
Ask our teamImplementation cost is driven by how many entities and sites go live, which modules are in scope — manufacturing, warehouse, quality and EDI each add materially — how clean your master data is, and how many systems have to integrate. Each phase is scoped fixed-price after a free operations discovery session. Platform licences are paid direct to the vendor and are not marked up.
Ten to sixteen weeks for a single entity with a focused module set. Four to seven months when manufacturing or warehouse operations are in scope. Eight to fourteen months for multi-site programmes, phased so finance and inventory go live early rather than everything waiting on one date.
Odoo suits mid-market companies wanting broad functionality at a reasonable licence cost with real customisation freedom. ERPNext suits teams that want open source with no licence fee at all. Business Central fits companies already committed to Microsoft. NetSuite fits multi-entity organisations wanting a fully managed cloud suite. We take no reseller commission on any of them, so the recommendation is based on fit and five-year total cost.
It is a written document listing every one of your processes against whether the platform handles it out of the box, with configuration, or only with custom development — plus the cost of closing each gap. Without one, scope is discovered during the build, which is exactly how ERP projects end up 40% over budget in month five.
No, and we recommend against it. Phased rollout — typically finance and inventory first, then purchasing and sales, then manufacturing or warehouse — means a wrong assumption costs you one module rather than your quarter. Big-bang is only sensible when integration dependencies genuinely make phasing impossible, which is rarer than vendors suggest.
Yes, and it is a regular engagement. We audit the current configuration, data quality, integration state and where the original scope diverged from your actual process, then produce a costed recovery plan separating what is salvageable from what needs rebuilding. Frequently the fastest path is cleaning master data and re-scoping one module rather than starting over.
Free on-site or remote operations discovery, a written platform recommendation with five-year costs, and fixed-price phases.