Custom ERP Development for Your Operations

Cost is driven by how many modules you need beyond core finance, inventory and purchasing — production planning and MRP, warehouse management, quality control and landed cost each extend the build — plus how many entities, currencies and sites are in scope and how many systems have to integrate. Each phase is scoped fixed-price after a free operations discovery session.

When the process that makes you money has no equivalent in any product — unusual costing models, regulated production workflows, or a service model the ERP market simply does not serve. Also when licence and per-user costs have outgrown a build, or when years of customisation on your current platform have made every upgrade a project. If none of that applies, implementing Odoo or Business Central will be faster and cheaper, and we will tell you so.

Five to eight months to first production release for a core finance, inventory and purchasing scope. Seven to eleven months with production planning and warehouse management. Ten to sixteen months for multi-entity enterprise scope, phased so finance and inventory go live well before the final module.

Python or Node.js and .NET Core on the back end, React with TypeScript on the front end, PostgreSQL or SQL Server for transactional data, and Kafka or RabbitMQ where event volumes justify it. Deployment is containerised into your AWS, Azure or GCP account with Terraform-managed infrastructure and CI/CD pipelines you own.

Chart of accounts alignment happens in the blueprint phase with your controller, and every transaction type is traced to its ledger impact before it is built. Migration is signed off against trial balance, open AR/AP, stock on hand and open orders. We also build segregation-of-duties controls and audit trails from the start because retrofitting them after an audit finding is far more expensive.

Yes. Most custom ERP builds keep something — a payroll provider, a WMS, a CAD system, an e-commerce storefront or a specialist compliance tool. We build a single monitored integration layer for those rather than point-to-point scripts, so there is one place to diagnose a failure.