
For years, a supply chain digital transformation engagement ended with a roadmap: a set of recommended systems, a target operating model, maybe a vendor shortlist. The client's own team was left to go implement it.
That's changing. Enterprise clients running global operations — retailers, manufacturers, 3PLs, and the shippers who depend on them — are asking consulting and systems integration firms to show up with working visibility, not just a plan for it. A transformation engagement that ends in a slide deck instead of a live dashboard increasingly reads as incomplete.
That shift puts firms in a position they haven't always been in: choosing, integrating, and standing behind a piece of technology as part of the deliverable. And for global operations, the piece of that stack that's hardest to get right — and most visibly broken when it's wrong — is ocean freight.
Route disruptions in the Red Sea, congestion around the Suez Canal, and recurring tension around the Strait of Hormuz have each, in turn, forced global shippers to reroute vessels, absorb longer transit times, and re-plan inventory on short notice. None of these were isolated events — they're the current operating environment for anyone moving freight by sea.
For a consulting firm advising a client on supply chain resilience, that's no longer a hypothetical risk to plan around. It's a live variable that needs a live data feed.
Most enterprise systems still treat a carrier's Estimated Time of Arrival as a fact rather than what it actually is: a static, carrier-reported guess that's frequently wrong and rarely updated in real time.
The more useful number is a Predicted Time of Arrival (PTA) — a continuously updated prediction built from live AIS vessel data, port and terminal conditions, and historical routing patterns, benchmarked against the carrier's Actual Time of Arrival (ATA) once the vessel actually arrives. The gap between what a carrier says (ETA) and what actually happens (ATA) is where cost, risk, and client dissatisfaction quietly accumulate — demurrage charges, missed production windows, blown SLAs. A PTA model is built specifically to close that gap before it becomes a client's problem.
For a firm recommending a technology stack, this distinction matters more than it looks. A client asking "can you see where our containers are" is really asking "can you tell me, accurately, when they'll arrive" — and most existing systems can't.
Digital transformation clients increasingly measure success in dashboards, not documents. A visibility layer that shows live vessel positions, predicted arrival times, and port congestion in one place has become table stakes for a "we modernized our supply chain" outcome — which means it has become table stakes for the firms delivering that outcome.
Firms facing this gap generally land on one of three paths:
We'll go deeper on this decision in the next post in this series — but for most firms, the calculus increasingly favors partnering: it turns a build-and-maintain problem into a configure-and-deploy one.
When the "buyer" is a consulting firm selecting on behalf of a client rather than an end user selecting for themselves, the evaluation criteria shift:
At a minimum, a maritime visibility partner worth recommending to a client should offer:
We'll publish a full RFP checklist later in this series for firms evaluating vendors formally — but the five criteria above cover the majority of what separates a genuine visibility partner from a feature bolted onto a broader platform.
What is maritime or ocean freight visibility?
Maritime visibility is the ability to track and predict the location and status of ocean freight shipments and vessels in real time — including live position data, predicted arrival times, and port or terminal congestion — rather than relying solely on static, carrier-reported schedules.
Why are consulting firms getting involved in supply chain visibility technology?
Because clients increasingly expect digital supply chain transformation engagements to deliver working visibility as part of the outcome, not just a strategic roadmap. Firms that can recommend or embed a reliable visibility layer are better positioned to deliver a complete, defensible engagement.
What's the difference between ETA, PTA, and ATA?
ETA (Estimated Time of Arrival) is a carrier-reported estimate that's often set early in a voyage and rarely updated. PTA (Predicted Time of Arrival) is a continuously updated, data-driven prediction based on live vessel and port data. ATA (Actual Time of Arrival) is what actually happens. The gap between ETA and ATA is where operational risk hides; a good PTA model is built to close that gap in advance.
How should a consulting or systems integration firm evaluate a maritime visibility vendor for a client engagement?
Prioritize an API-first architecture, a predictive (not just reactive) data model, documented enterprise SLAs, fast deployment timelines, and a vendor that's built to integrate into your delivery rather than compete with your advisory relationship. A full evaluation checklist is available in our RFP guide (linked once published).
Should we build maritime visibility in-house or partner with a vendor?
For most firms, partnering is the more sustainable path. Maritime tracking data — AIS feeds, port and terminal geofencing, carrier schedules — is a specialized, continuously maintained data domain. Building it in-house turns a single client deliverable into an ongoing infrastructure commitment.
Maritime visibility has moved from a "nice to have" to a genuine deliverable inside supply chain transformation work — and the firms getting ahead of it are treating vendor selection the same way they'd treat any other critical piece of a client's technology stack: deliberately, and with a partner built for exactly this use case.
SeaVantage works with consulting and systems integration firms to add container and vessel-level visibility to client engagements — API-first, enterprise-SLA-backed, and built to deploy inside your existing timeline, not extend it.
Talk to our Partnerships team →
ETA(Estimated Time of Arrival) 뜻과 ETD·ATA와의 차이, ETA가 실제 도착 시간과 달라지는 이유를 알아보세요. ETA 변동에 대응하는 방법과 SeaVantage PTA 활용법도 함께 소개합니다.
호르무즈 해협 위치부터 세계 원유·LNG 공급망에서의 역할, 이란의 봉쇄 가능성, 한국에 미치는 영향까지 한눈에 정리했습니다. 최신 데이터와 사례를 바탕으로 공급망 리스크를 쉽게 이해해 보세요.
항만 혼잡도는 선박 지연, ETA 정확도, 디머리지 비용에 영향을 미치는 핵심 지표입니다. 발생 원인부터 주요 항만 모니터링 방법까지 확인해 보세요.
Should your firm build, buy, or partner for container and ocean freight visibility on client engagements? A practical framework for consulting and SI firms.
Why EY, PwC, Deloitte, KPMG and other consulting firms are adding maritime and ocean freight visibility to supply chain client engagements — and what to look for in a partner.
Carrier ETAs in container shipping are frequently inaccurate. Learn why — and how AI-powered Predicted Time of Arrival (PTA) gives logistics teams an independent, continuously updated second opinion on when cargo will really arrive.