Logistics Software Development Services
MetaProject provides logistics software development for shipping, maritime, freight and supply chain operators. The industry moves roughly 80% of global trade on software built for a smaller, slower era, with disconnected systems, manual reconciliation and paper-trail dependencies.
Margins are thinner and customers now expect ecommerce-grade visibility. The operators who thrive are the ones whose software lets them grow operations without proportionally growing back-office headcount. We work embedded: senior engineers build the architecture and codify the practice your team owns after we leave.
Who we work with
What makes this industry different
What we build
How we work
Co-execution
We take the critical scope and build it in your repos, alongside your team.
Transition
Your team leads the work. We mentor and codify what works.
Self-sufficiency
Your team owns the practice. We step back to strategic counsel.
A typical engagement runs 9–14 months. For a full ERP build or platform replatforming, the longer end is normal. More on our approach: Delivery as Training and Exit by Design.
Why teams choose us for logistics work
When to bring us in
Related
Logistics software development FAQ
In scope, mostly the same; in regulatory shape, very different. Maritime carries IMO, SOLAS, MARPOL, port-state, and flag-state requirements that don't apply to road or air. Vessel lifecycle, multi-jurisdiction crewing, bunker logistics, and port operations have their own patterns. SLM is our maritime-specific case study, and the pattern generalises across operators of similar complexity.
Yes. EDI is one of the messiest data-integration domains in software, and generic patterns underestimate its quirks (inconsistent partner implementations, format variations, late or out-of-order messages). We design EDI as its own workstream with explicit normalisation, reconciliation, and conflict resolution.
As a first-class workstream. Logistics data is messy: inconsistent vessel records, partial contract histories, federated financial data. The pattern that works is characterisation, transformation rules documented and reviewed, scripted and idempotent runs, automated reconciliation, and staged cutover. Migration typically runs 2–4 months of a 9–14 month engagement.
Yes, though logistics peaks look different from consumer surges: seasonal (peak shipping), event-driven (month-end close, reporting deadlines), or weather-induced (storm-season port ops). Patterns include predictive scaling for known windows, queueing for batch operations, and graceful degradation when partner systems misbehave. See Platform Engineering.
Yes, with different engagement shapes. Established operators usually need replatforming, integration, and capability transfer to long-tenured teams; startups need greenfield architecture and patterns that scale. The engineering discipline overlaps; the engagement adapts.
Tell us what you are building. On a 30-minute call a senior engineer walks through your operations and the systems behind them. Or get a first view of the team and timeline in two minutes.