Custom inventory software built for the way your operations actually work

The honest answer depends on your scale and complexity. Off-the-shelf platforms carry lower upfront costs but accumulate expense through per-user or per-order licensing, integration middleware, workaround tooling, and the internal time your team spends managing data inconsistencies.

A custom system carries a higher initial build cost but typically has flat or predictable running costs thereafter — no per-seat pricing that grows with your headcount, no mandatory upgrades that break your integrations. For businesses with high transaction volumes, multiple warehouses, or complex integration requirements, the three-year total cost of ownership for a custom system is frequently comparable to, or lower than, a mid-market SaaS platform once you account for all associated costs.

We work through a TCO comparison with every prospective client during discovery so the decision is based on your actual numbers, not generalisations.

A focused MVP covering core stock management, one or two integrations, and basic reporting typically takes between three and five months from scoping to go-live. A more complex system — multiple warehouse nodes, full ERP and OMS integration, demand forecasting, and advanced reporting — is more likely to take six to nine months.

Timeline depends heavily on the complexity of your existing systems, the quality of available data, and how quickly your team can engage during discovery and testing. We give you a realistic estimate after the scoping phase, not before it.

We begin by auditing the APIs, data models, and event structures of your existing systems. Most modern ERPs, WMS platforms, and commerce tools expose sufficient APIs for bi-directional integration. Where they do not — or where legacy systems require file-based exchange — we build the appropriate connectors.

We design integrations to be resilient: with retry logic, error alerting, and clear audit trails so your team can identify and resolve data issues without needing to raise a development ticket every time. Integration architecture is agreed during scoping, not discovered mid-build.

Data migration is one of the highest-risk parts of any inventory system transition, and we treat it accordingly. We start by auditing your existing data for completeness and consistency, then design a migration process with validation checkpoints at each stage.

Where possible, we run the new system in parallel with the existing one for a defined period so discrepancies can be identified and resolved before the old system is switched off. We do not recommend a hard cutover without a parallel-run phase for any business where stock accuracy is operationally critical.

We offer structured post-launch support, including bug fixes, performance monitoring, and planned enhancements. The team that built your system remains available for ongoing work — we do not hand off to a separate support function unfamiliar with the codebase.

We can also work with your internal engineering team to transfer knowledge and ownership over time if your preference is to bring maintenance in-house. That transition is planned deliberately, not assumed.

Yes, and this is often the right approach. A full replacement carries more risk and cost than extending or augmenting what you already have. During discovery, we assess whether your current platform can serve as a foundation — or whether its architecture is the root cause of the problems you are trying to solve.

We have delivered projects that extend existing WMS platforms with custom forecasting layers, build unified stock visibility across multiple disconnected systems, and replace only the components that are failing rather than the entire stack. The right scope emerges from the discovery process, not from a default preference for greenfield builds.