What BCG + McKinsey maritime reports flag — and the structured data layer they leave out.

1. BCG's 70 / 7 / 1 problem

From AI Is Already Moving the Logistics Industry Forward (BCG, 2026):

Almost 70% of companies are still exploring or piloting AI, but just 7% can point to measurable improvements in their supply chain activities, and only 1% have embedded AI as part of their core logistics processes.

That is the entire industry problem in one line. AI pilots that never become core processes. Why? Because core-process AI needs structured input that survives audit, integrates with the existing stack, and carries lineage. Most maritime AI today reads PDFs, produces PDFs, and dies at the integration layer.

CoatingPassport is the structured-condition object the core-process AI needs. JSON in, JSON out, schema- conformant, lineage-traced, multi-tenant. Operators using it have already crossed from pilot to core.

2. The APAC AI-maturity asymmetry

BCG also reports:

Logistics service providers in the Asia-Pacific region lead in AI maturity, with 31% reporting success in embedding AI across core operations, compared to 14% of North American companies and just 6% of those in Europe.

This is why Singapore yards (Keppel, Seatrium) and APAC operators move faster on structured data than European counterparts. It is also why Europe-anchored fleets (Maersk, Hapag-Lloyd, MSC, CMA CGM, Wallenius Wilhelmsen) should treat structured condition data as a competitive necessity, not an option. The window is short.

3. BCG's three-pillar framing for leading shipping companies

From Achieving a Sea Change in Maritime Decarbonization (BCG, 2025), the three things efficient companies emphasize:

• Decarbonization leadership.
• Fleet excellence.
• Technological experimentation.

CoatingPassport delivers the data layer for all three. Decarbonization leadership needs defensible biofouling + condition evidence (EU ETS, IMO CII, Poseidon Principles). Fleet excellence needs sub-pilot-grade condition data across the whole fleet. Technological experimentation needs an integration target the experiments can plug into — not another PDF dead-end.

BCG also notes:

Leading shipping companies can improve their fleets' efficiency by up to 10% by implementing energy-saving devices, with efforts to improve efficiency potentially reducing operating expenses by as much as 8%.

Biofouling is the single largest reversible drag on those 10% / 8% numbers. Structured biofouling assessment per vessel per inspection is what closes the OpEx gap. PDFs do not.

4. McKinsey's three-pillar transformation

McKinsey's maritime practice frames transformation as:

Strategy, commercial excellence, and vessel-cost optimization, enabled by digital and analytics, as well as fit-for-purpose organizational setup, governance, and capabilities.

Vessel-cost optimization, enabled by digital and analytics — that is exactly the slot Hullproof sits in. The structured condition data is the analytics layer the optimization runs on.

McKinsey also tells operators (in Data will decide success in the next normal of bulk and tanker shipping): data is the differentiator. Operators sitting on unstructured PDF inspection records are losing the data race before they enter it.

5. Where the consultancies stop and Hullproof starts

BCG and McKinsey are diagnosis + framework + change- management businesses. They are very good at this. Their output is decks, workshops, and roadmaps — not the machine-readable, schema-conformant, audit-traced data object the rest of the agenda runs on.

CoatingPassport is that object. Built explicitly for the problem both consultancies describe but neither ships: structured physical-asset condition intelligence that survives the integration layer, the regulatory layer, and the agentic-consumption layer.

The right way to use this primer in a BCG-influenced or McKinsey-influenced operator: hand it to the team they hired, and let them slot Hullproof into the data-layer column they already have in their roadmap.