Adopt an open, modular data fabric now to replace TradeLens and its blockchain-enabled approach. The move by Maersk and IBM signals a shift toward multi-party interoperability rather than a single-venture solution. Build a strategy that interoperates with existing networks and provides clear upgrade paths ahead of any new pilot.
The effect lands most on agencies and large shippers. To reduce risk, map data flows across domestic and cross-border operations with a focus on interoperability. A small taskforce should document current data fields and plan automated handoffs to carriers like CargoX and comparable offerings. In time, shared standards will enable more transparent invoicing, shipment milestones, and risk alerts.
From a finance perspective, reduce capital tied to a single platform. This is a practical concern for CFOs right now. A current suite of tools can be repurposed to support automated document flows, trackable payments, and credit checks. Financial institutions are signalling appetite for lighter risk models and faster settlement, which means new vendors must offer well-documented APIs into ERP and TMS systems. For domestic trade, ensure continuity by relying on proven services from software-backed ecosystems.
Architect an interoperable layer using open standards and software components that can be activated across partners. Build an automated data fabric that ingests shipment data, finance documents, and regulatory statuses, then publishes events to carriers via APIs. This reduces chokepoints and prepares for a future where multiple platforms coexist within a single, reliable view.
In the year ahead, leadership and stakeholders need a published execution road map with clear milestones. The plan is to wind down TradeLens while preserving core data capabilities for domestic and cross-border flows, with a clear timeline and defined risk controls. With regulatory input factored in, teams can adjust course while keeping current operations stable during the move to multi-vendor solutions.
TradeLens discontinuation: practical implications and the path toward new objectives
Adopt a phased digitisation roadmap that replaces the TradeLens approach with a blockchain-enabled platform anchored in common data standards. Launch a controlled pilot among a small group of participants to test full visibility across transport and supply transactions. That controlled scope lets groups validate efficiency gains before broader rollout and identify delay points early enough to address them.
Changes in governance, data sharing, and risk controls will follow as suppliers, carriers, freight forwarders, and financial partners join the effort. Data access must always align with consent and policy. When each party contributes data, a core platform provides the trust layer, while external groups can publish or consume data without exposing sensitive details, preserving privacy while enabling supply chain visibility.
In finance and processing workflows, the shift supports real-time settlement, reduced manual reconciliation, and lower operating costs. The platform enables consented data sharing for invoicing, port charges, and cargo release, while each party retains control. With high event volumes processed daily, the system can demonstrate tangible efficiency gains and lower cycle times.
To prevent further delay, establish clear milestones, a shared consensus model, and a governance body that includes representatives from logistics groups, banks, and regulators. Unified data standards and a single source of truth allow the ecosystem to move toward continuous improvement. Current guidance favours modular components that can be joined progressively and replaced as needs change.
Immediate actions: map current transactions and data gaps; define a digitisation blueprint with phased pilots; secure multi-party commitments to data sharing rules; run parallel pilots — blockchain-enabled and alternative options — to compare performance. This staged approach supports a broad set of supply and transport moves and sets up a path for long-term objectives, with transparency and trust as core principles. Several groups have already expressed readiness, and the stated objective is to reduce friction in cross-border trade and improve processing times.
What TradeLens aimed to deliver: core objectives, use cases, and data sharing
The platform offered a shared, permissioned ledger to bring real-time visibility behind every handoff, enabling parties and agencies to interact securely and make faster decisions when shipment conditions changed, while tracked consignments reduced lost assets.
The first objective was to standardise data and reduce friction across parties. Standard formats and a common data pool were meant to unlock economic value, enable access to trusted information, and produce savings across the industry.
Core use cases included end-to-end visibility for shipments, real-time container tracking, digitised bills of lading, and pre-clearance workflows that speed customs checks. Across these use cases, parties could track transactions and bring data into financing decisions with greater confidence.
Data sharing relied on defined access controls, where each participant could view or contribute data under specific conditions. Security and privacy safeguards enabled visibility among carriers, shippers, forwarders, regulators, and banks, while preserving control over who sees what. The model supported timely updates through continuous data feeds and kept information traceable and auditable.
To reproduce this value in future systems, adopt clear governance, open standards, and scalable onboarding that accelerates adoption across the industry and enables cross-border data exchange, ensuring interoperability across diverse partners and regulatory environments.
Why the project was discontinued: governance, ROI, and scale considerations
The decision to terminate and reallocate resources points to the need for a lean, governance-driven roadmap that delivers modular, scalable solutions with a clear ROI path. Beta deployments should be paused and refocused on providing core data visibility to a defined number of groups across shipping, ports, and logistics operators, reducing vessel and document-flow complexity and limiting blockchain use to a single core network.
Governance fragmentation was a central problem. The effort relied on several multifunctional groups with unclear decision rights. To scale quickly, define a lean structure with a small number of groups covering operations, technology, commercial, and risk and compliance as a standing advisory. Each group needs explicit mandates and SLA-like goals. A simple charter with two-week decision cycles, combined with automated reporting and transparency dashboards, keeps participants informed. Some participants should hold clear veto rights on high-risk items to avoid bottlenecks in daily processing.
ROI realities drove the conclusion: the software and data-processing benefits seen in pilots did not translate into durable savings at scale. Lost value came from onboarding costs, integration friction with legacy systems, and limited data availability from partner groups. Projections for a broad rollout suggested only modest ROI, with risk of negative payoff if participation declined.
On scale: reaching thousands of users and many vessels would require standardised interfaces, defined data formats, and automated onboarding pipelines. The beta experiments showed use cases could expand, but sharing data across multiple participants raised governance and confidentiality concerns. A deal-based approach with limited scope and clear data-sharing rules proved easier to execute than a full deployment into multi-party networks.
Given these learnings, the path forward targets a narrower, modular solution available to key users and vessel operators while governance is strengthened. The plan includes sunsetting the current platform, preserving processed data for compliant access, and launching a targeted beta with a small number of partner groups. A single-blockchain core with standard APIs and a transparent ROI measurement mechanism remains worth exploring, alongside deal opportunities and practical solutions aligned with industry needs.
Impact on stakeholders: shippers, carriers, forwarders, and regulators
The immediate priority is to establish bilateral data-sharing agreements and adopt interoperable APIs to preserve shipment visibility and protect revenue as TradeLens winds down.
Maersk and IBM announced the discontinuation of the blockchain-based TradeLens platform. Several major partners joined in moving away from a centralised ledger toward direct data exchange and sector standards. The change creates gaps at a number of touchpoints, but also opens opportunities to tailor data flows to each partner's needs. When we arrange cross-border loads for SMBs, we see exactly this kind of transition moment: the window between platforms is where visibility gaps cause the most damage, so acting early on bilateral agreements matters more than waiting for an industry-wide replacement.
- Shippers
- Maintain visibility by setting up direct API exchanges with carriers and forwarders; ensure every shipment event is appended to shared records; target reductions in detention and demurrage costs through faster exception handling.
- Prepare for perishable streams with enhanced cold-chain data capture; ensure temperature logs and chain-of-custody events flow directly to downstream systems.
- Join a third-party data pool or adopt a common data model to interoperate with partners who did not join new standards; pilot across several lanes to quantify improvements.
- Establish governance to protect sensitive information while enabling interaction across partners; measure data quality and privacy challenges and set clear remediation steps.
- Carriers
- Expedite system upgrades and adopt a common data model to reduce blind spots; implement APIs that exchange events directly with shippers and forwarders; monitor on-time performance and charging accuracy to stabilise finance processes.
- Align with partners on documentation and fee structures; reduce disputes that previously flowed through a single platform and created financial friction.
- Quantify impact across several lanes from multiple routes; deploy a programme to transform data flows and include third-party verification to improve trust.
- Assess challenges such as data latency and interoperability and implement mitigation steps; ensure compliance with regulators in relevant jurisdictions.
- Forwarders
- Coordinate with multiple carriers and shippers using standardised event streams; align on data exchange schedules to maintain visibility across the network; use automation to accelerate load matching and bill reconciliation.
- Provide traceability for compliance to regulators and customers; share aggregated metrics to improve risk assessment and planning.
- Use continuous data exchange to expedite approvals in customs and finance processes; reduce manual re-entry of documents; append new data to existing records to maintain a single view.
- Address data quality, governance, and access-control challenges; plan for backup options if a partner restricts data access.
- Regulators
- Establish and publish a minimal data-exchange standard that partners can join directly; require third-party validators to ensure data integrity and exchange traceability; monitor trade flows and risk indicators.
- Transparent metrics on risk, lead-time variability, and financial impact across lanes are needed; regular reports from carriers and shippers help maintain sightlines.
- Set a transition timeline with concrete milestones to avoid a data void; require entities to demonstrate compliance through programme-based approaches rather than paper-based processes.
- Address data privacy, cross-border data transfer, and consumer protection concerns; specify penalties for non-compliance and require strong controls for sensitive data.
Industry lessons: insights for future blockchain-enabled trade pilots
Start with a modular pilot anchored in a shared data model across current shipping and warehouse processes, with clearly defined KPIs and a fixed governance pattern. Digital records and real-time data feeds can yield a measurable economic view for all participants and close gaps in cooperation — but only when the governance is agreed before the technology is built, not after.
Adopt an industry-wide data standard for event data, starting with common fields for shipments, bills, and inventory, so participants can compare results and manage exceptions in real time. In our experience coordinating carriers across multiple corridors, the absence of agreed field definitions is where pilots stall most often — not the technology itself.
Create a lean environment with a clear governance protocol and establish authorisation for shared data access, so parties can cooperate with minimal friction and cooperation is built into the plan from day one. Keep development iterative, with quarterly milestones and a feedback loop from all partners.
Track metrics such as transit times, compliance rate, and accuracy of digital records, and adjust the process as needed. Schedule annual reviews and allocate resources to support continuous improvement.
Use real-world examples from ships, warehouses, and ports to validate the potential of blockchain for trade finance and logistics. Some pilots part ways with legacy systems, yet the learnings sharpen understanding of what comes next. FreightWaves has documented how early trade digitisation pilots consistently underestimated the cost of change management relative to the cost of the technology — a pattern that TradeLens reflects.
Balance cost and value by pricing data sharing as a service, with a transparent model that aligns incentives across partners. Include a plan for scaling the pilot annually if results meet predefined thresholds.
New priorities for future initiatives: data standards, interoperability, and governance frameworks
Adopt a unified data standard today and require all partners to publish machine-readable cargo, temperature, and event records. This baseline, intended for cross-system use, should be supported by relevant authorities and allow data to move cleanly between systems, enabling later extensions with minimal rework and clearer accountability.
Develop a multifunctional data model that covers shipments, temperature controls, containers, seals, and processing status, plus condition readings. Use consistent identifiers for payloads, parties, and locations to reduce reconciliation effort and support automated validation; model relationships that reflect real-world flows for more accurate analytics.
Establish interoperable interfaces: APIs with common semantics, standard event formats, and chain-aware data exchange that can connect TMS, WMS, ERP, and external platforms. Ensure processed updates propagate between participants such as brokers, freight forwarders, and carriers. This approach complements blockchain-based traces while applying open data principles and avoiding vendor lock-in. The World Bank Logistics Performance Index consistently points to data interoperability as a differentiator for trade corridor efficiency — a finding that shapes how we think about platform design at GetTransport.com.
Governance frameworks should define clear roles, responsibilities, and decision rights. Appoint authorities and publish guidelines for data quality, access, audit trails, and incident handling. Engage stakeholders jointly — endorsed by industry bodies and regulators — and establish escalation paths to address challenges promptly across warehouses and transit hubs.
The implementation plan emphasises practical steps: run near-term pilots in which forwarders and brokers test interoperability using real cargo movements and warehouse operations. Track key metrics including cycle time reduction, data quality scores, and environmental readings, then scale to broader networks while maintaining strict privacy controls and consent regimes.
Expected outcomes include reduced friction across chains, improved visibility for shippers and authorities, and measurable efficiency gains. By standardising data, enabling interoperability, and strengthening governance, the ecosystem can carry its momentum forward, supported by examples from early adopters and continued engagement with participants throughout.